Category Archives: SDM

BSF Addresses

The Binding Support Function is used in 4G and 5G networks to allow applications to authenticate against the network, it’s what we use to authenticate for XCAP and for an Entitlement Server.

Rather irritatingly, there are two BSF addresses in use:

If the ISIM is used for bootstrapping the FQDN to use is:

bsf.ims.mncXXX.mccYYY.pub.3gppnetwork.org

But if the USIM is used for bootstrapping the FQDN is

bsf.mncXXX.mccYYY.pub.3gppnetwork.org

You can override this by setting the 6FDA EF_GBANL (GBA NAF List) on the USIM or equivalent on the ISIM, however not all devices honour this from my testing.

IMS iFC – SPT Session Cases

Mostly just reference material for me:

Possible values:

  • 0 (ORIGINATING_SESSION)
  • 1 TERMINATING_REGISTERED
  • 2 (TERMINATING_UNREGISTERED)
  • 3 (ORIGINATING_UNREGISTERED

In the past I had my iFCs setup to look for the P-Access-Network-Info header to know if the call was coming from the IMS, but it wasn’t foolproof – Fixed line IMS subs didn’t have this header.

            <TriggerPoint>
                <ConditionTypeCNF>1</ConditionTypeCNF>
                <SPT>
                    <ConditionNegated>0</ConditionNegated>
                    <Group>0</Group>
                    <Method>INVITE</Method>
                    <Extension></Extension>
                </SPT>
                <SPT>
                    <ConditionNegated>0</ConditionNegated>
                    <Group>1</Group>
                    <SIPHeader>
                      <Header>P-Access-Network-Info</Header>
                    </SIPHeader>
                </SPT>                
            </TriggerPoint>

But now I’m using the Session Cases to know if the call is coming from a registered IMS user:

        <!-- SIP INVITE Traffic from Registered Sub-->
        <InitialFilterCriteria>
            <Priority>30</Priority>
            <TriggerPoint>
                <ConditionTypeCNF>1</ConditionTypeCNF>
                <SPT>
                    <ConditionNegated>0</ConditionNegated>
                    <Group>0</Group>
                    <Method>INVITE</Method>
                    <Extension></Extension>
                </SPT>
                <SPT>
                    <Group>0</Group>
                    <SessionCase>0</SessionCase>
                </SPT>             
            </TriggerPoint>

How much computing power is in a SIM (And is it enough to get humans to the Moon?)

The first thing people learn about SIMs or the Smart Cards that the SIM / USIM app runs on, is that “There’s a little computer in the card”. So how little is this computer, and what’s the computing power in my draw full of SIMs?

So for starters the SIM manufacturers love their NDAs, so I can’t post the chip specifications for the actual cards in my draw, but here’s some comparable specs from a seller selling Java based smart cards online:

Specs for Smart Card

4K of RAM is 4069 bytes.
For comparison the Apollo Guidance Computer had 2048 words of RAM, but each “word” was 16 bits (two bytes), so actually this would translate to 4069 bytes so equal with one of these smart cards in terms of RAM – So the smart card above is on par with the AGC that took humans to the moon in terms of RAM, althhough the SIMs would be a wee bit larger if they were also using magnetic core memory like the AGC!

The Nintendo Entertainment System was powered by a MOS Technology 6502, it had access to 2K of RAM, two the Smart Card has twice as much RAM as the NES, so it could get you to the moon and play Super Mario Bros.

What about comparing Non-Volatile Memory (Storage)? Well, the smart card has 145KB of ROM / NVM, while Apollo flew with 36,864 words of RAM, each word is two bits to 73,728 Bytes, so roughly half of what the Smart Card has – Winner – Smart Card, again, without relying on core rope memory like AGC.

SIM cards are clocked kinda funkily so comparing processor speeds is tricky. Smart Cards are clocked off the device they connect to, which feeds them a clock signal via the CLK pin. The minimum clock speed is 1Mhz while the max is 5Mhz.

Now I’m somewhat of a hoarder when it comes to SIM Cards; in the course of my work I have to deal with a lot of SIMs…

Generally when we’re getting SIMs manufactured, during the Batch Approval Process (BAP) the SIM vendor will send ~25 cards for validation and testing. It’s not uncommon to go through several revisions. I probably do 10 of these a year for customers, so that’s 250 cards right there.

Then when the BAP is done I’ll get another 100 or so production cards for the lab, device testing, etc, this probably happens 3 times a year.

So that’s 550 SIMs a year, I do clean out every so often, but let’s call it 1000 cards in the lab in total.

In terms of ROM that gives me a combined 141.25 MB, I could store two Nintendo 64 games, or one Mini CD of data, stored across a thousand SIM cards – And you thought installing software from a few floppies was a pain in the backside, imagine accessing data from 1000 Smart Cards!

What about tying the smart cards together to use as a giant RAM BUS? Well our 1000 cards give us a combined 3.91 MB of RAM, well that’d almost be enough to run Windows 95, and enough to comfortably run Windows 3.1.

Practical do do any of this? Not at all, now if you’ll excuse me I think it’s time I throw out some SIMs…

SSH into Cisco STPs

If it ain’t broke don’t fix is an addage that the telecom industry has well and truly applied to the SS7 space.

If you’ve got an SS7 network (especially one built on TDM links) the general philosophy is don’t touch it and hope to retire before it dies.

The Cisco STP (Internet Transfer Point) is a good example of this, and for that reason I still work on them.

But OpenSSH and standards have moved on, and SSHing into them these days requires some extra (insecure) parameters to access, so here they are:

ssh -oKexAlgorithms=+diffie-hellman-group1-sha1 -oHostKeyAlgorithms=+ssh-rsa -caes128-cbc [email protected]

Will get you into an Version 12.3(4r)T4 Cisco ITP. Be sure to run sho ver and marvel at that uptime!

SQN Sync in IMS Auth

So the issue was a head scratcher.

Everything was working on the IMS, then I go to bed, the next morning I fire up the test device and it just won’t authenticate to the IMS – The S-CSCF generated a 401 in response to the REGISTER, but the next REGISTER wouldn’t pass.

Wireshark just shows me this loop:

UE -> IMS: REGISTER
IMS -> UE: 401 Unauthorized (With Challenge)
UE -> IMS: REGISTER with response
IMS -> UE: 401 Unauthorized (With Challenge)
UE -> IMS: REGISTER with response
IMS -> UE: 401 Unauthorized (With Challenge)
UE -> IMS: REGISTER with response
IMS -> UE: 401 Unauthorized (With Challenge)

So what’s going on here?

IMS uses AKAv1-MD5 for Authentication, this is slightly different to the standard AKA auth used in cellular, but if you’re curious, we’ve covered by IMS Authentication and standard AKA based SIM Authentication in cellular networks before.

When we generate the vectors (for IMS auth and standard auth) one of the inputs to generate the vectors is the Sequence Number or SQN.

This SQN ticks over like an odometer for the number of times the SIM / HSS authentication process has been performed.

There is some leeway in the SQN – It may not always match between the SIM and the HSS and that’s to be expected.
When the MME sends an Authentication-Information-Request it can ask for multiple vectors so it’s got some in reserve for the next time the subscriber attaches, and that’s allowed.

Information stored on USIM / SIM Card for LTE / EUTRAN / EPC - K key, OP/OPc key and SQN Sequence Number

But there are limits to how far out our SQN can be, and for good reason – One of the key purposes for the SQN is to protect against replay attacks, where the same vector is replayed to the UE. So the SQN on the HSS can be ahead of the SIM (within reason), but it can’t be behind – Odometers don’t go backwards.

So the issue was with the SQN on the SIM being out of Sync with the SQN in the IMS, how do we know this is the case, and how do we fix this?

Well there is a resync mechanism so the SIM can securely tell the HSS what the current SQN it is using, so the HSS can update it’s SQN.

When verifying the AUTN, the client may detect that the sequence numbers between the client and the server have fallen out of sync.
In this case, the client produces a synchronization parameter AUTS, using the shared secret K and the client sequence number SQN.
The AUTS parameter is delivered to the network in the authentication response, and the authentication can be tried again based on authentication vectors generated with the synchronized sequence number.

RFC 3110: HTTP Digest Authentication using AKA

In our example we can tell the sub is out of sync as in our Multimedia Authentication Request we see the SIP-Authorization AVP, which contains the AUTS (client synchronization parameter) which the SIM generated and the UE sent back to the S-CSCF. Our HSS can use the AUTS value to determine the correct SQN.

SIP-Authorization AVP in the Multimedia Authentication Request means the SQN is out of Sync and this AVP contains the RAND and AUTN required to Resync

Note: The SIP-Authorization AVP actually contains both the RAND and the AUTN concatenated together, so in the above example the first 32 bytes are the AUTN value, and the last 32 bytes are the RAND value.

So the HSS gets the AUTS and from it is able to calculate the correct SQN to use.

Then the HSS just generates a new Multimedia Authentication Answer with a new vector using the correct SQN, sends it back to the IMS and presto, the UE can respond to the challenge normally.

This feature is now fully implemented in PyHSS for anyone wanting to have a play with it and see how it all works.

And that friends, is how we do SQN resync in IMS!

Getting to know the PCRF for traffic Policy, Rules & Rating

Misunderstood, under appreciated and more capable than people give it credit for, is our PCRF.

But what does it do?

Most folks describe the PCRF in hand wavy-terms – “it does policy and charging” is the answer you’ll get, but that doesn’t really tell you anything.

So let’s answer it in a way that hopefully makes some practical sense, starting with the acronym “PCRF” itself, it stands for Policy and Charging Rules Function, which is kind of two functions, one for policy and one for rules, so let’s take a look at both.

Policy

In cellular world, as in law, policy is the rules.

For us some examples of policy could be a “fair use policy” to limit customer usage to acceptable levels, but it can also be promotional packages, services like “free Spotify” packages, “Voice call priority” or “unmetered access to Nick’s Blog and maximum priority” packages, can be offered to customers.

All of these are examples of policy, and to make them work we need to target which subscribers and traffic we want to apply the policy to, and then apply the policy.

Charging Rules

Charging Rules are where the policy actually gets applied and the magic happens.

It’s where we take our policy and turn it into actionable stuff for the cellular world.

Let’s take an example of “unmetered access to Nick’s Blog and maximum priority” as something we want to offer in all our cellular plans, to provide access that doesn’t come out of your regular usage, as well as provide QCI 5 (Highest non dedicated QoS) to this traffic.

To achieve this we need to do 3 things:

  • Profile the traffic going to this website (so we capture this traffic and not regular other internet traffic)
  • Charge it differently – So it’s not coming from the subscriber’s regular balance
  • Up the QoS (QCI) on this traffic to ensure it’s high priority compared to the other traffic on the network

So how do we do that?

Profiling Traffic

So the first step we need to take in providing free access to this website is to filter out traffic to this website, from the traffic not going to this website.

Let’s imagine that this website is hosted on a single machine with the IP 1.2.3.4, and it serves traffic on TCP port 443. This is where IPFilterRules (aka TFTs or “Traffic Flow Templates”) and the Flow-Description AVP come into play. We’ve covered this in the past here, but let’s recap:

IPFilterRules are defined in the Diameter Base Protocol (IETF RFC 6733), where we can learn the basics of encoding them,

They take the format:

action dir proto from src to dst

The action is fairly simple, for all our Dedicated Bearer needs, and the Flow-Description AVP, the action is going to be permit. We’re not blocking here.

The direction (dir) in our case is either in or out, from the perspective of the UE.

Next up is the protocol number (proto), as defined by IANA, but chances are you’ll be using 17 (UDP) or 6 (TCP).

The from value is followed by an IP address with an optional subnet mask in CIDR format, for example from 10.45.0.0/16 would match everything in the 10.45.0.0/16 network.

Following from you can also specify the port you want the rule to apply to, or, a range of ports.

Like the from, the to is encoded in the same way, with either a single IP, or a subnet, and optional ports specified.

And that’s it!

So let’s create a rule that matches all traffic to our website hosted on 1.2.3.4 TCP port 443,

permit out 6 from 1.2.3.4 443 to any 1-65535
permit out 6 from any 1-65535 to 1.2.3.4 443

All this info gets put into the Flow-Information AVPs:

With the above, any traffic going to/from 1.23.4 on port 443, will match this rule (unless there’s another rule with a higher precedence value).

Charging Actions

So with our traffic profiled, the next question is what actions are we going to take, well there’s two, we’re going to provide unmetered access to the profiled traffic, and we’re going to use QCI 4 for the traffic (because you’ll need a guaranteed bit rate bearer to access!).

Charging-Group for Profiled Traffic

To allow for Zero Rating for traffic matching this rule, we’ll need to use a different Rating Group.

Let’s imagine our default rating group for data is 10000, then any normal traffic going to the OCS will use rating group 10000, and the OCS will apply the specific rates and policies based on that.

Rating Groups are defined in the OCS, and dictate what rates get applied to what Rating Groups.

For us, our default rating group will be charged at the normal rates, but we can define a rating group value of 4000, and set the OCS to provide unlimited traffic to any Credit-Control-Requests that come in with Rating Group 4000.

This is how operators provide services like “Unlimited Facebook” for example, a Charging Rule matches the traffic to Facebook based on TFTs, and then the Rating Group is set differently to the default rating group, and the OCS just allows all traffic on that rating group, regardless of how much is consumed.

Inside our Charging-Rule-Definition, we populate the Rating-Group AVP to define what Rating Group we’re going to use.

Setting QoS for Profiled Traffic

The QoS Description AVP defines which QoS parameters (QCI / ARP / Guaranteed & Maximum Bandwidth) should be applied to the traffic that matches the rules we just defined.

As mentioned at the start, we’ll use QCI 4 for this traffic, and allocate MBR/GBR values for this traffic.

Putting it Together – The Charging Rule

So with our TFTs defined to match the traffic, our Rating Group to charge the traffic and our QoS to apply to the traffic, we’re ready to put the whole thing together.

So here it is, our “Free NVN” rule:

I’ve attached a PCAP of the flow to this post.

In our next post we’ll talk about how the PGW handles the installation of this rule.

Diameter Routing Agents – Part 5 – AVP Transformations with FreeDiameter and Python in rt_pyform

In our last post we talked about why we’d want to perform Diameter AVP translations / rewriting on our Diameter Routing Agent.

Now let’s look at how we can actually achieve this using rt_pyform extension for FreeDiameter and some simple Python code.

Before we build we’ll need to make sure we have the python3-devel package (I’m using python3-devel-3.10) installed.

Then we’ll build FreeDiameter with the rt_pyform, this branch contains the rt_pyform extension in it already, or you can clone the extension only from this repo.

Now once FreeDiameter is installed we can load the extension in our freeDiameter.conf file:

LoadExtension = "rt_pyform.fdx" : "<Your config filename>.conf";

Next we’ll need to define our rt_pyform config, this is a super simple 3 line config file that specifies the path of what we’re doing:

DirectoryPath = "."        # Directory to search
ModuleName = "script"      # Name of python file. Note there is no .py extension
FunctionName = "transform" # Python function to call

The DirectoryPath directive specifies where we should search for the Python code, and ModuleName is the name of the Python script, lastly we have FunctionName which is the name of the Python function that does the rewriting.

Now let’s write our Python function for the transformation.

The Python function much have the correct number of parameters, must return a string, and must use the name specified in the config.

The following is an example of a function that prints out all the values it receives:

def transform(appId, flags, cmdCode, HBH_ID, E2E_ID, AVP_Code, vendorID, value):
    print('[PYTHON]')
    print(f'|-> appId: {appId}')
    print(f'|-> flags: {hex(flags)}')
    print(f'|-> cmdCode: {cmdCode}')
    print(f'|-> HBH_ID: {hex(HBH_ID)}')
    print(f'|-> E2E_ID: {hex(E2E_ID)}')
    print(f'|-> AVP_Code: {AVP_Code}')
    print(f'|-> vendorID: {vendorID}')
    print(f'|-> value: {value}')
    
    return value

Note the order of the arguments and that return is of the same type as the AVP value (string).

We can expand upon this and add conditionals, let’s take a look at some more complex examples:

def transform(appId, flags, cmdCode, HBH_ID, E2E_ID, AVP_Code, vendorID, value):
    print('[PYTHON]')
    print(f'|-> appId: {appId}')
    print(f'|-> flags: {hex(flags)}')
    print(f'|-> cmdCode: {cmdCode}')
    print(f'|-> HBH_ID: {hex(HBH_ID)}')
    print(f'|-> E2E_ID: {hex(E2E_ID)}')
    print(f'|-> AVP_Code: {AVP_Code}')
    print(f'|-> vendorID: {vendorID}')
    print(f'|-> value: {value}')
    #IMSI Translation - if App ID = 16777251 and the AVP being evaluated is the Username
    if (int(appId) == 16777251) and int(AVP_Code) == 1:
        print("This is IMSI '" + str(value) + "' - Evaluating transformation")
        print("Original value: " + str(value))
        value = str(value[::-1]).zfill(15)

The above look at if the App ID is S6a, and the AVP being checked is AVP Code 1 (Username / IMSI ) and if so, reverses the username, so IMSI 1234567 becomes 7654321, the zfill is just to pad with leading 0s if required.

Now let’s do another one for a Realm Rewrite:

def transform(appId, flags, cmdCode, HBH_ID, E2E_ID, AVP_Code, vendorID, value):

    #Print Debug Info
    print('[PYTHON]')
    print(f'|-> appId: {appId}')
    print(f'|-> flags: {hex(flags)}')
    print(f'|-> cmdCode: {cmdCode}')
    print(f'|-> HBH_ID: {hex(HBH_ID)}')
    print(f'|-> E2E_ID: {hex(E2E_ID)}')
    print(f'|-> AVP_Code: {AVP_Code}')
    print(f'|-> vendorID: {vendorID}')
    print(f'|-> value: {value}')
    #Realm Translation
    if int(AVP_Code) == 283:
        print("This is Destination Realm '" + str(value) + "' - Evaluating transformation")
    if value == "epc.mnc001.mcc001.3gppnetwork.org":
        new_realm = "epc.mnc999.mcc999.3gppnetwork.org"
        print("translating from " + str(value) + " to " + str(new_realm))
        value = new_realm
    else:
        #If the Realm doesn't match the above conditions, then don't change anything
        print("No modification made to Realm as conditions not met")
    print("Updated Value: " + str(value))

In the above block if the Realm is set to epc.mnc001.mcc001.3gppnetwork.org it is rewritten to epc.mnc999.mcc999.3gppnetwork.org, hopefully you can get a handle on the sorts of transformations we can do with this – We can translate any string type AVPs, which allows for hostname, realm, IMSI, Sh-User-Data, Location-Info, etc, etc, to be rewritten.

Diameter Routing Agents – Part 5 – AVP Transformations

Having a central pair of Diameter routing agents allows us to drastically simplify our network, but what if we want to perform some translations on AVPs?

For starters, what is an AVP transformation? Well it’s simply rewriting the value of an AVP as the Diameter Request/Response passes through the DRA. A request may come into the DRA with IMSI xxxxxx and leave with IMSI yyyyyy if a translation is applied.

So why would we want to do this?

Well, what if we purchased another operator who used Realm X, and we use Realm Y, and we want to link the two networks, then we’d need to rewrite Realm Y to Realm X, and Realm X to Realm Y when they communicate, AVP transformations allow for this.

If we’re an MVNO with hosted IMSIs from an MNO, but want to keep just the one IMSI in our HSS/OCS, we can translate from the MNO hosted IMSI to our internal IMSI, using AVP transformations.

If our OCS supports only one rating group, and we want to rewrite all rating groups to that one value, AVP transformations cover this too.

There are lots of uses for this, and if you’ve worked with a bit of signaling before you’ll know that quite often these sorts of use-cases come up.

So how do we do this with freeDiameter?

To handle this I developed a module for passing each AVP to a Python function, which can then apply any transformation to a text based value, using every tool available to you in Python.

In the next post I’ll introduce rt_pyform and how we can use it with Python to translate Diameter AVPs.

Diameter Routing Agents – Part 4 – Advanced FreeDiameter DRA Routing

Way back in part 2 we discussed the basic routing logic a DRA handles, but what if we want to do something a bit outside of the box in terms of how we route?

For me, one of the most useful use cases for a DRA is to route traffic based on IMSI / Username.
This means I can route all the traffic for MVNO X to MVNO X’s HSS, or for staging / test subs to the test HSS enviroment.

FreeDiameter has a bunch of built in logic that handles routing based on a weight, but we can override this, using the rt_default module.

In our last post we had this module commented out, but let’s uncomment it and start playing with it:

#Basic Diameter config for this box
Identity = "dra.mnc001.mcc001.3gppnetwork.org";
Realm = "mnc001.mcc001.3gppnetwork.org";
Port = 3868;

LoadExtension = "dbg_msg_dumps.fdx" : "0x8888";
LoadExtension = "rt_redirect.fdx":"0x0080";
LoadExtension = "rt_default.fdx":"rt_default.conf";

TLS_Cred = "/etc/freeDiameter/cert.pem", "/etc/freeDiameter/privkey.pem";
TLS_CA = "/etc/freeDiameter/cert.pem";
TLS_DH_File = "/etc/freeDiameter/dh.pem";

ConnectPeer = "mme01.mnc001.mcc001.3gppnetwork.org" { ConnectTo = "10.98.0.10"; No_TLS; };
ConnectPeer = "hss01" { ConnectTo = "10.0.1.252"; No_TLS; Port = 3868; Realm = "mnc001.mcc001.3gppnetwork.org";};
ConnectPeer = "hss02" { ConnectTo = "10.0.1.253"; No_TLS; Port = 3868; Realm = "mnc001.mcc001.3gppnetwork.org";};
ConnectPeer = "hss-mvno-x" { ConnectTo = "10.98.0.22"; No_TLS; Port = 3868; Realm = "mnc001.mcc001.3gppnetwork.org";};
ConnectPeer = "hss-lab" { ConnectTo = "10.0.2.2"; No_TLS; Port = 3868; Realm = "mnc001.mcc001.3gppnetwork.org";};

In the above code we’ve uncommented rt_default and rt_redirect.

You’ll notice that rt_default references a config file, so we’ll create a new file in our /etc/freeDiameter directory called rt_default.conf, and this is where the magic will happen.

A few points before we get started:

  • This overrides the default routing priorities, but in order for a peer to be selected, it has to be in an Open (active) state
  • The peer still has to have advertised support for the requested application in the CER/CEA dialog
  • The peers will still need to have all been defined in the freeDiameter.conf file in order to be selected

So with that in mind, and the 5 peers we have defined in our config above (assuming all are connected), let’s look at some rules we can setup using rt_default.

Intro to rt_default Rules

The rt_default.conf file contains a list of rules, each rule has a criteria that if matched, will result in the specified action being taken. The actions all revolve around how to route the traffic.

So what can these criteria match on?
Here’s the options:

Item to MatchCode
Any*
Origin-Hostoh=”STR/REG”
Origin-Realmor=”STR/REG”
Destination-Hostdh=”STR/REG”
Destination-Realmdr=”STR/REG”
User-Nameun=”STR/REG”
Session-Idsi=”STR/REG”
rt_default Matching Criteria

We can either match based on a string or a regex, for example, if we want to match anything where the Destination-Realm is “mnc001.mcc001.3gppnetwork.org” we’d use something like:

#Low score to HSS02
dr="mnc001.mcc001.3gppnetwork.org" : dh="hss02" += -70 ;

Now you’ll notice there is some stuff after this, let’s look at that.

We’re matching anything where the destination-host is set to hss02 (that’s the bit before the colon), but what’s the bit after that?

Well if we imagine that all our Diameter peers are up, when a message comes in with Destination-Realm “mnc001.mcc001.3gppnetwork.org”, looking for an HSS, then in our example setup, we have 4 HHS instances to choose from (assuming they’re all online).

In default Diameter routing, all of these peers are in the same realm, and as they’re all HSS instances, they all support the same applications – Our request could go to any of them.

But what we set in the above example is simply the following:

If the Destination-Realm is set to mnc001.mcc001.3gppnetwork.org, then set the priority for routing to hss02 to the lowest possible value.

So that leaves the 3 other Diameter peers with a higher score than HSS02, so HSS02 won’t be used.

Let’s steer this a little more,

Let’s specify that we want to use HSS01 to handle all the requests (if it’s available), we can do that by adding a rule like this:

#Low score to HSS02
dr="mnc001.mcc001.3gppnetwork.org" : dh="hss02" += -70 ;
#High score to HSS01
dr="mnc001.mcc001.3gppnetwork.org" : dh="hss01" += 100 ;

But what if we want to route to hss-lab if the IMSI matches a specific value, well we can do that too.

#Low score to HSS02
dr="mnc001.mcc001.3gppnetwork.org" : dh="hss02" += -70 ;
#High score to HSS01
dr="mnc001.mcc001.3gppnetwork.org" : dh="hss01" += 100 ;
#Route traffic for IMSI to Lab HSS
un="001019999999999999" : dh="hss-lab" += 200 ;

Now that we’ve set an entry with a higher score than hss01 that will be matched if the username (IMSI) equals 001019999999999999, the traffic will get routed to hss-lab.

But that’s a whole IMSI, what if we want to match only part of a field?

Well, we can use regex in the Criteria as well, so let’s look at using some Regex, let’s say for example all our MVNO SIMs start with 001012xxxxxxx, let’s setup a rule to match that, and route to the MVNO HSS with a higher priority than our normal HSS:

#Low score to HSS02
dr="mnc001.mcc001.3gppnetwork.org" : dh="hss02" += -70 ;
#High score to HSS01
dr="mnc001.mcc001.3gppnetwork.org" : dh="hss01" += 100 ;
#Route traffic for IMSI to Lab HSS
un="001019999999999999" : dh="hss-lab" += 200 ;
#Route traffic where IMSI starts with 001012 to MVNO HSS
un=["^001012.*"] : dh="hss-mvno-x" += 200 ;

Let’s imagine that down the line we introduce HSS03 and HSS04, and we only want to use HSS01 if HSS03 and HSS04 are unavailable, and only to use HSS02 no other HSSes are available, and we want to split the traffic 50/50 across HSS03 and HSS04.

Firstly we’d need to add HSS03 and HSS04 to our FreeDiameter.conf file:

...
ConnectPeer = "hss02" { ConnectTo = "10.0.1.253"; No_TLS; Port = 3868; Realm = "mnc001.mcc001.3gppnetwork.org";};
ConnectPeer = "hss03" { ConnectTo = "10.0.3.3"; No_TLS; Port = 3868; Realm = "mnc001.mcc001.3gppnetwork.org";};
ConnectPeer = "hss04" { ConnectTo = "10.0.4.4"; No_TLS; Port = 3868; Realm = "mnc001.mcc001.3gppnetwork.org";};
...

Then in our rt_default.conf we’d need to tweak our scores again:

#Low score to HSS02
dr="mnc001.mcc001.3gppnetwork.org" : dh="hss02" += 10 ;
#Medium score to HSS01
dr="mnc001.mcc001.3gppnetwork.org" : dh="hss01" += 20 ;
#Route traffic for IMSI to Lab HSS
un="001019999999999999" : dh="hss-lab" += 200 ;
#Route traffic where IMSI starts with 001012 to MVNO HSS
un=["^001012.*"] : dh="hss-mvno-x" += 200 ;
#High Score for HSS03 and HSS04
dr="mnc001.mcc001.3gppnetwork.org" : dh="hss02" += 100 ;
dr="mnc001.mcc001.3gppnetwork.org" : dh="hss04" += 100 ;

One quick tip to keep your logic a bit simpler, is that we can set a variety of different values based on keywords (listed below) rather than on a weight/score:

BehaviourNameScore
Do not deliver to peer (set lowest priority)NO_DELIVERY-70
The peer is a default route for all messagesDEFAULT5
The peer is a default route for this realmDEFAULT_REALM10
REALM15
Route to the specified Host with highest priorityFINALDEST100
Rather than manually specifying the store you can use keywords like above to set the value

In our next post we’ll look at using FreeDiameter based DRA in roaming scenarios where we route messages across Diameter Realms.

Diameter Routing Agents – Part 3 – Building a DRA with FreeDiameter

I’ve covered the basics of Diameter Routing Agents (DRAs) in the past, and even shared an unstable DRA built using Kamailio, but today I thought I’d cover building something a little more “production ready”.

FreeDiameter has been around for a while, and we’ve covered configuring the FreeDiameter components in Open5GS when it comes to the S6a interface, so you may have already come across FreeDiameter in the past, but been left a bit baffled as to how to get it to actually do something.

FreeDiameter is a FOSS implimentation of the Diameter protocol stack, and is predominantly used as a building point for developers to build Diameter applications on top of.

But for our scenario, we’ll just be using plain FreeDiameter.

So let’s get into it,

You’ll need FreeDiameter installed, and you’ll need a certificate for your FreeDiameter instance, more on that in this post.

Once that’s setup we’ll need to define some basics,

Inside freeDiameter.conf we’ll need to include the identity of our DRA, load the extensions and reference the certificate files:

#Basic Diameter config for this box
Identity = "dra.mnc001.mcc001.3gppnetwork.org";
Realm = "mnc001.mcc001.3gppnetwork.org";
Port = 3868;

LoadExtension = "dbg_msg_dumps.fdx" : "0x8888";
#LoadExtension = "rt_redirect.fdx":"0x0080";
#LoadExtension = "rt_default.fdx":"rt_default.conf";

TLS_Cred = "/etc/freeDiameter/cert.pem", "/etc/freeDiameter/privkey.pem";
TLS_CA = "/etc/freeDiameter/cert.pem";
TLS_DH_File = "/etc/freeDiameter/dh.pem";

Next up we’ll need to define the Diameter peers we’ll be routing between.

For each connection / peer / host we’ll need to define here:

ConnectPeer = "mme01.mnc001.mcc001.3gppnetwork.org" { ConnectTo = "10.98.0.10"; No_TLS; };
ConnectPeer = "hss01" { ConnectTo = "10.0.1.252"; No_TLS; Port = 3868; Realm = "mnc001.mcc001.3gppnetwork.org";};

And we’ll configure our HSS and MME defined in the ConnectPeers to connect/accept connections from, dra.mnc001.mcc001.3gppnetwork.org.

Now if we start freeDiameter, we can start routing between the hosts. No config needed.

If we define another HSS in the ConnectPeers, any S6a requests from the MME may get routed to that as well (50/50 split).

In our next post, we’ll look at using the rt_default extension to control how we route and look at some more advanced use cases.

Diameter Routing Agents (Why you need them, and how to build them) – Part 2 – Routing

What I typically refer to as Diameter interfaces / reference points, such as S6a, Sh, Sx, Sy, Gx, Gy, Zh, etc, etc, are also known as Applications.

Diameter Application Support

If you look inside the Capabilities Exchange Request / Answer dialog, what you’ll see is each side advertising the Applications (interfaces) that they support, each one being identified by an Application ID.

CER showing support for the 3GPP Zh Application-ID (Interface)

If two peers share a common Application-Id, then they can communicate using that Application / Interface.

For example, the above screenshot shows a peer with support for the Zh Interface (Spoiler alert, XCAP Gateway / BSF coming soon!). If two Diameter peers both have support for the Zh interface, then they can use that to send requests / responses to each other.

This is the basis of Diameter Routing.

Diameter Routing Tables

Like any router, our DRA needs to have logic to select which peer to route each message to.

For each Diameter connection to our DRA, it will build up a Diameter Routing table, with information on each peer, including the realm and applications it advertises support for.

Then, based on the logic defined in the DRA to select which Diameter peer to route each request to.

In its simplest form, Diameter routing is based on a few things:

  1. Look at the DestinationRealm, and see if we have any peers at that realm
  2. If we do then look at the DestinationHost, if that’s set, and the host is connected, and if it supports the specified Application-Id, then route it to that host
  3. If no DestinationHost is specified, look at the peers we have available and find the one that supports the specified Application-Id, then route it to that host
Simplified Diameter Routing Table used by DRAs

With this in mind, we can go back to looking at how our DRA may route a request from a connected MME towards an HSS.

Let’s look at some examples of this at play.

The request from MME02 is for DestinationRealm mnc001.mcc001.3gppnetwork.org, which our DRA knows it has 4 connected peers in (3 if we exclude the source of the request, as we don’t want to route it back to itself of course).

So we have 3 contenders still for who could get the request, but wait! We have a DestinationHost specified, so the DRA confirms the host is available, and that it supports the requested ApplicationId and routes it to HSS02.

So just because we are going through a DRA does not mean we can’t specific which destination host we need, just like we would if we had a direct link between each Diameter peer.

Conversely, if we sent another S6a request from MME01 but with no DestinationHost set, let’s see how that would look.

Again, the request is from MME02 is for DestinationRealm mnc001.mcc001.3gppnetwork.org, which our DRA knows it has 3 other peers it could route this to. But only two of those peers support the S6a Application, so the request would be split between the two peers evenly.

Clever Routing with DRAs

So with our DRA in place we can simplify the network, we don’t need to build peer links between every Diameter device to every other, but let’s look at some other ways DRAs can help us.

Load Control

We may want to always send requests to HSS01 and only use HSS02 if HSS01 is not available, we can do this with a DRA.

Or we may want to split load 75% on one HSS and 25% on the other.

Both are great use cases for a DRA.

Routing based on Username

We may want to route requests in the DRA based on other factors, such as the IMSI.

Our IMSIs may start with 001010001xxx, but if we introduced an MVNO with IMSIs starting with 001010002xxx, we’d need to know to route all traffic where the IMSI belongs to the home network to the home network HSS, and all the MVNO IMSI traffic to the MVNO’s HSS, and DRAs handle this.

Inter-Realm Routing

One of the main use cases you’ll see for DRAs is in Roaming scenarios.

For example, if we have a roaming agreement with a subscriber who’s IMSIs start with 90170, we can route all the traffic for their subs towards their HSS.

But wait, their Realm will be mnc901.mcc070.3gppnetwork.org, so in that scenario we’ll need to add a rule to route the request to a different realm.

DRAs handle this also.

In our next post we’ll start actually setting up a DRA with a default route table, and then look at some more advanced options for Diameter routing like we’ve just discussed.

One slight caveat, is that mutual support does not always mean what you may expect.
For example an MME and an HSS both support S6a, which is identified by Auth-Application-Id 16777251 (Vendor ID 10415), but one is a client and one is a server.
Keep this in mind!

Diameter Routing Agents (Why you need them, and how to build them) – Part 1

Answer Question 1: Because they make things simpler and more flexible for your Diameter traffic.
Answer Question 2: With free software of course!

All about DRAs

But let’s dive a little deeper. Let’s look at the connection between an MME and an HSS (the S6a interface).

Direct Diameter link between two Diameter Peers

We configure the Diameter peers on MME1 and HSS01 so they know about each other and how to communicate, the link comes up and presto, away we go.

But we’re building networks here! N+1 redundancy and all that, so now we have two HSSes and two MMEs.

Direct Diameter link between 4 Diameter peers

Okay, bit messy, but that’s okay…

But then our network grows to 10 MMEs, and 3 HSSes and you can probably see where this is going, but let’s drive the point home.

Direct Diameter connections for a network with 10x MME and 3x HSS

Now imagine once you’ve set all this up you need to do some maintenance work on HSS03, so need to shut down the Diameter peer on 10 different MMEs in order to isolate it and deisolate it.

The problem here is pretty evident, all those links are messy, cumbersome and they just don’t scale.

If you’re someone with a bit of networking experience (and let’s face it, you’re here after all), then you’re probably thinking “What if we just had a central system to route all the Diameter messages?”

An Agent that could Route Diameter, a Diameter Routing Agent perhaps…

By introducing a DRA we build Diameter peer links between each of our Diameter devices (MME / HSS, etc) and the DRA, rather than directly between each peer.

Then from the DRA we can route Diameter requests and responses between them.

Let’s go back to our 10x MME and 3x HSS network and see how it looks with a DRA instead.

So much cleaner!

Not only does this look better, but it makes our life operating the network a whole lot easier.

Each MME sends their S6a traffic to the DRA, which finds a healthy HSS from the 3 and sends the requests to it, and relays the responses as well.

We can do clever load balancing now as well.

Plus if a peer goes down, the DRA detects the failure and just routes to one of the others.

If we were to introduce a new HSS, we wouldn’t need to configure anything on the MMEs, just add HSS04 to the DRA and it’ll start getting traffic.

Plus from an operations standpoint, now if we want to to take an HSS offline for maintenance, we just shut down the link on the HSS and all HSS traffic will get routed to the other two HSS instances.

In our next post we’ll talk about the Routing part of the DRA, how the decisions are made and all the nuances, and then in the following post we’ll actually build a DRA and start routing some traffic around!

FreeDiameter – Generating Certificates

Even if you’re not using TLS in your FreeDiameter instance, you’ll still need a certificate in order to start the stack.

Luckily, creating a self-signed certificate is pretty simple,

Firstly we generate your a private key and public certificate for our required domain – in the below example I’m using dra01.epc.mnc001.mcc001.3gppnetwork.org, but you’ll need to replace that with the domain name of your freeDiameter instance.

openssl req -new -batch -x509 -days 3650 -nodes     \
   -newkey rsa:1024 -out /etc/freeDiameter/cert.pem -keyout /etc/freeDiameter/privkey.pem \
   -subj /CN=dra01.epc.mnc001.mcc001.3gppnetwork.org

Next we generate a new set of Diffie-Hellman parameter set using OpenSSL.

openssl dhparam -out /etc/freeDiameter/dh.pem 1024 

Lastly we’ll put all this config into the freeDiameter config file:

TLS_Cred = "/etc/freeDiameter/cert.pem", "/etc/freeDiameter/privkey.pem";
TLS_CA = "/etc/freeDiameter/cert.pem";
TLS_DH_File = "/etc/freeDiameter/dh.pem";

If you’re using freeDiameter as part of another software stack (Such as Open5Gs) the below filenames will contain the config for that particular freeDiameter components of the stack:

  • freeDiameter.conf – Vanilla freeDiameter
  • mme.conf – Open5Gs MME
  • pcrf.conf – Open5Gs PCRF
  • smf.conf – Open5Gs SMF / P-GW-C
  • hss.conf – Open5Gs HSS

Cisco ITP / SS7 STP – Viewing MTP3 traffic from TDM Links

Okay, so a little late to the party on this one…

The other day I had to setup a TDM (E1) based SS7 link (oh yes my friend – they still exist) to interconnect with another operator.

I’m using Cisco’s ITP product as the STP / Signaling Gateway, and my trusty port mirror for what’s going on doesn’t extend down to TDM links.

But I found out you can mirror MTP3 traffic from TDM links in the STP!

Firstly we’ve got to define the remote destination to send the TDM mirrored traffic to, and an access list to match all SS7 traffic:

cs7 paklog your.ip.for.sniffing dest-port 514
access-list 2700 instance 0 permit all

Next up we start a debug session for traffic matching that access list:

debug cs7 mtp3 paklog 2700

And then over on your monitoring box (the IP you specified in your.ip.for.sniffing ) fire up Wireshark and voila!

All our MTP3 traffic!

This was super useful for ensuring the ITP was working correctly as a signaling gateway and passing the M3UA packets over onto MTP3 MSUs.

CGrateS in Baby Steps – Part 4 – Rating Calls

In our last few posts we got CGrateS setup in order to have rates and tariffs in the system, so we can price a call.

Where we ended we were able to use the APIerSv1.GetCost method to get the cost of a call, and today, we’re going to actually create some rated CDRs.

So again this will be done through the API, using the CDRsV1.ProcessExternalCDR method.

So let’s give it a whirl:

#Add a CDR
print("Testing call..")
cdr = CGRateS_Obj.SendData({"method": "CDRsV1.ProcessExternalCDR", "params": [ { \
"Direction": "*out",
    "Category": "call",
    "RequestType": "*raw",
    "ToR": "*monetary",
    "Tenant": "cgrates.org",
    "Account": "1002",
    "Subject": "1002",
    "Destination": "61411111",
    "AnswerTime": "2022-02-15 13:07:39",
    "SetupTime": "2022-02-15 13:07:30",
    "Usage": "181s",
    "OriginID": "API Function Example"
    }], "id": 0})
pprint.pprint(cdr)

So the output of this, you may notice returns “Partially Executed” in the output, that’s no good.

{'method': 'CDRsV1.ProcessExternalCDR', 'params': [{'Direction': '*out', 'Category': 'call', 'RequestType': '*raw', 'ToR': '*monetary', 'Tenant': 'cgrates.org', 'Account': '1002', 'Subject': '1002', 'Destination': '61411111', 'AnswerTime': '2022-02-15 13:07:39', 'SetupTime': '2022-02-15 13:07:30', 'Usage': '181s', 'OriginID': 'API Function Example'}], 'id': 0}
OrderedDict([('id', 0), ('result', None), ('error', 'PARTIALLY_EXECUTED')])

So what’s going on here?

Well, there’s another concept I haven’t introduced yet, and that’s ChargerS, this is a concept / component we’ll dig into deeper for derived charging, but for now just know we need to add a ChargerS rule in order to get CDRs rated:

#Define Charger
print(CGRateS_Obj.SendData({
    "method": "APIerSv1.SetChargerProfile",
    "params": [
        {
            "Tenant": "cgrates.org",
            "ID": "DEFAULT",
            'FilterIDs': [],
            'AttributeIDs' : ['*none'],
            'Weight': 0,
        }
    ]   }   ))   
#Set Charger
print("GetChargerProfile: ")
GetChargerProfile = CGRateS_Obj.SendData({"jsonrpc": "2.0", "method": "ApierV1.GetChargerProfile", "params": [{"TPid": "cgrates.org", "ID" : "DEFAULT"}]})
print("GetChargerProfile: ")
pprint.pprint(GetChargerProfile)

Now if we try rating the CDR again we should get a successful output:

{'method': 'CDRsV1.ProcessExternalCDR', 'params': [{'Direction': '*out', 'Category': 'call', 'RequestType': '*raw', 'ToR': '*monetary', 'Tenant': 'cgrates.org', 'Account': '1002', 'Subject': '1002', 'Destination': '6141111124211', 'AnswerTime': '2022-02-15 13:07:39', 'SetupTime': '2022-02-15 13:07:30', 'Usage': '181s', 'OriginID': 'API Function Example'}], 'id': 0}
OrderedDict([('id', 0), ('result', 'OK'), ('error', None)])

Great, so where did the CDR go?

Well, if you’ve got CDR storage in StoreDB enabled (And you probably do if you’ve been following up until this point), then the answer is a MySQL table, and we can retrive the data with:

sudo mysql cgrates -e "select * from cdrs \G"

For those of you with a bit of MySQL experience under your belt, you’d be able to envisage using the SUM function to total a monthly bill for a customer from this.

Of course we can add CDRs via the API, and you probably already guessed this, but we can retrive CDRs via the API as well, filtering on the key criteria:

#Get CDRs
cdrs = CGRateS_Obj.SendData({"method": "ApierV1.GetCDRs", "params": [ { \
"Direction": "*out",
   "Tenants": ["cgrates.org"],
   "Accounts": ["1002"],
    "TimeStart": "2022-02-14 13:07:39",
    "TimeEnd": "2022-02-16 13:07:39",
    "Limit": 100
    }], "id": 0})
pprint.pprint(cdrs)

This would be useful for generating an invoice or populating recent calls for a customer portal.

Maybe creating rated CDRs and sticking them into a database is exactly what you’re looking to achieve in CGrateS – And if so, great, this is where you can stop – but for many use cases, there’s a want for an automated solution – For your platform to automatically integrate with CGrateS.

If you’ve got an Asterisk/FreeSWITCH/Kamailio or OpenSIPs based platform, then you can integrate CGrateS directly into your platform to add the CDRs automatically, as well as access features like prepaid credit control, concurrent call limits, etc, etc.
The process is a little different on each of these platforms, but ultimately under the hood, all of these platforms have some middleware that generates the same API calls we just ran to create the CDR.

So far this tutorial has been heavy on teaching the API, because that’s what CGrateS ultimately is – An API service.

Our platforms like Asterisk and Kamailio with the CGrateS plugins are just CGrateS API clients, and so once we understand how to use and interact with the API it’s a breeze to plug in the module for your platform to generate the API calls to CGrateS required to integrate.

You can find all the code used in today’s lesson in the GitHub repo for this tutorial series.

CGrateS in Baby Steps – Part 3 – RatingProfiles & RatingPlans

In our last post we introduced the CGrateS API and we used it to add Rates, Destinations and define DestinationRates.

In this post, we’ll create the RatingPlan that references the DestinationRate we just defined, and the RatingProfile that references the RatingPlan, and then, as the cherry on top – We’ll rate some calls.

For anyone looking at the above diagram for the first time, you might be inclined to ask why what is the purpose of having all these layers?

This layered architecture allows all sorts of flexibility, that we wouldn’t otherwise have, for example, we can have multiple RatingPlans defined for the same Destinations, to allow us to have different Products defined, with different destinations and costs.

Likewise we can have multiple RatingProfiles assigned for the same destinations to allow us to generate multiple CDRs for each call, for example a CDR to bill the customer with and a CDR with our wholesale cost.

All this flexibility is enabled by the layered architecture.

Define RatingPlan

Picking up where we left off having just defined the DestinationRate, we’ll need to create a RatingPlan and link it to the DestinationRate, so let’s check on our DestinationRates:

print("GetTPRatingProfileIds: ")
TPRatingProfileIds = CGRateS_Obj.SendData({"jsonrpc": "2.0", "method": "ApierV1.GetRatingProfileIDs", "params": [{"TPid": "cgrates.org"}]})
print("TPRatingProfileIds: ")
pprint.pprint(TPRatingProfileIds)

From the output we can see we’ve got the DestinationRate defined, there’s a lot of info returned (I’ve left out most of it), but you can see the Destination, and the Rate associated with it is returned:

OrderedDict([('id', 1),
             ('result',
              OrderedDict([('TPid', 'cgrates.org'),
                           ('ID', 'DestinationRate_AU'),
                           ('DestinationRates',
                            [OrderedDict([('DestinationId', 'Dest_AU_Fixed'),
                                          ('RateId', 'Rate_AU_Fixed_Rate_1'),
                                          ('Rate', None),
                                          ('RoundingMethod', '*up'),
                                          ('RoundingDecimals', 4),
                                          ('MaxCost', 0),
                                          ('MaxCostStrategy', '')]),
                             OrderedDict([('DestinationId', 'Dest_AU_Mobile'),
                                          ('RateId', 'Rate_AU_Mobile_Rate_1'),
                                          ('Rate', None),
                                          ...

So after confirming that our DestinationRates are there, we’ll create a RatingPlan to reference it, for this we’ll use the APIerSv1.SetTPRatingPlan API call.

TPRatingPlans = CGRateS_Obj.SendData({
    "id": 3,
    "method": "APIerSv1.SetTPRatingPlan",
    "params": [
        {
            "TPid": "cgrates.org",
            "ID": "RatingPlan_VoiceCalls",
            "RatingPlanBindings": [
                {
                    "DestinationRatesId": "DestinationRate_AU",
                    "TimingId": "*any",
                    "Weight": 10
                }
            ]
        }
    ]
})

RatingPlan_VoiceCalls = CGRateS_Obj.SendData(
    {"jsonrpc": "2.0", "method": "ApierV1.GetTPRatingPlanIds", "params": [{"TPid": "cgrates.org"}]})
print("RatingPlan_VoiceCalls: ")
pprint.pprint(RatingPlan_VoiceCalls)
print("\n\n\n")

In our basic example, this really just glues the DestinationRate_AU object to RatingPlan_VoiceCalls.

It’s worth noting that you can use a RatingPlan to link to multiple DestinationRates, for example, we might want to have a different RatingPlan for each region / country, we can do that pretty easily too, in the below example I’ve referenced other Destination Rates (You’d go about defining the DestinationRates for these other destinations / rates the same way as we did in the last example).

{
    "id": 3,
    "method": "APIerSv1.SetTPRatingPlan",
    "params": [
        {
            "TPid": "cgrates.org",
            "ID": "RatingPlan_VoiceCalls",
            "RatingPlanBindings": [
                {
                    "DestinationRatesId": "DestinationRate_USA",
                    "TimingId": "*any",
                    "Weight": 10
                },
                    "DestinationRatesId": "DestinationRate_UK",
                    "TimingId": "*any",
                    "Weight": 10
                },
                    "DestinationRatesId": "DestinationRate_AU",
                    "TimingId": "*any",
                    "Weight": 10
                },
                ...

One last step before we can test this all end-to-end, and that’s to link the RatingPlan we just defined with a RatingProfile.

StorDB & DataDB

Psych! Before we do that, I’m going to subject you to learning about backends for a while.

So far we’ve skirted around CGrateS architecture, but this is something we need to know for now.

To keep everything fast, a lot of data is cached in what is called a DataDB (if you’ve followed since part 1, then your DataDB is Redis, but there are other options).

To keep everything together, databases are used for storage, called StorDB (in our case we are using MySQL, but again, we can have other options) but calls to this database are minimal to keep the system fast.

If you’re an astute reader, you may have noticed many of our API calls have TP in method name, if the API call has TP in the name, it is storing it in the StoreDB, if it doesn’t, it means it’s storing it only in DataDB.

Why does this matter? Well, let’s look a little more closely and it will become clear:

ApierV1.SetRatingProfile will set the data only in DataDB (Redis), because it’s in the DataDB the change will take effect immediately.

ApierV1.SetTPRatingProfile will set the data only in StoreDB (MySQL), it will not take effect until it is copied from the database (StoreDB) to the cache (DataDB).

To do this we need to run:

cgr-console "load_tp_from_stordb Tpid=\"cgrates.org\" Cleanup=true Validate=true DisableDestinations=false"

Which pulls the data from the database into the cache, as you may have guessed there’s also an API call for this:

{"method":"APIerSv1.LoadTariffPlanFromStorDb","params":[{"TPid":"cgrates.org","DryRun":False,"Validate":True,"APIOpts":None,"Caching":None}],"id":0}

After we define the RatingPlan, we need to run this command prior to creating the RatingProfile, so it has something to reference, so we’ll do that by adding:

print(CGRateS_Obj.SendData({"method":"APIerSv1.LoadTariffPlanFromStorDb","params":[{"TPid":"cgrates.org","DryRun":False,"Validate":True,"APIOpts":None,"Caching":None}],"id":0}))

Now, on with the show!

Defining a RatingProfile

The last piece of the puzzle to define is the RatingProfile.

We define a few key things in the rating profile:

  • The Tenant – CGrateS is multitenant out of the box (in our case we’ve used tenant named “cgrates.org“, but you could have different tenants for different customers).
  • The Category – As we covered in the first post, CGrateS can bill voice calls, SMS, MMS & Data consumption, in this scenario we’re billing calls so we have the value set to *call, but we’ve got many other options. We can use Category to link what RatingPlan is used, for example we might want to offer a premium voice service with guaranteed CLI rates, using a different RatingPlan that charges more per call, or maybe we’re doing mobile and we want a different RatingPlan for use when Roaming, we can use Category to switch that.
  • The Subject – This is loosely the Source / Calling Party; in our case we’re using a wildcard value *any which will match any Subject
  • The RatingPlanActivations list the RatingPlanIds of the RatingPlans this RatingProfile uses

So let’s take a look at what we’d run to add this:

#Reload data from StorDB
print(CGRateS_Obj.SendData({"method":"APIerSv1.LoadTariffPlanFromStorDb","params":[{"TPid":"cgrates.org","DryRun":False,"Validate":True,"APIOpts":None,"Caching":None}],"id":0}))

#Create RatingProfile
print(CGRateS_Obj.SendData({
    "method": "APIerSv1.SetRatingProfile",
    "params": [
        {
            "TPid": "RatingProfile_VoiceCalls",
            "Overwrite": True,
            "LoadId" : "APItest",
            "Tenant": "cgrates.org",
            "Category": "call",
            "Subject": "*any",
            "RatingPlanActivations": [
                {
                    "ActivationTime": "2014-01-14T00:00:00Z",
                    "RatingPlanId": "RatingPlan_VoiceCalls",
                    "FallbackSubjects": ""
                }
            ]
        }
    ]
}))

print("GetTPRatingProfileIds: ")
TPRatingProfileIds = CGRateS_Obj.SendData({"jsonrpc": "2.0", "method": "ApierV1.GetRatingProfileIDs", "params": [{"TPid": "cgrates.org"}]})
print("TPRatingProfileIds: ")
pprint.pprint(TPRatingProfileIds)

Okay, so at this point, all going well, we should have some data loaded, we’ve gone through all those steps to load this data, so now let’s simulate a call to a Mobile Number (22c per minute) for 123 seconds.

We can do this from the CLI:

cgr-console 'cost Category="call" Tenant="cgrates.org" Subject="1001" Destination="6140000" AnswerTime="2025-08-04T13:00:00Z" Usage="123s"'

We should get the cost back of 66 cents, as 3x 22 cents.

Call showing 66 cent cost

If that’s worked, breath a sigh of relief. That’s the worst done.*

As you may have guessed we can also check this through API calls,

print("Testing call..")
cdr = CGRateS_Obj.SendData({"method": "APIerSv1.GetCost", "params": [ { \
    "Tenant": "cgrates.org", \
    "Category": "call", \
    "Subject": "1001", \
    "AnswerTime": "2025-08-04T13:00:00Z", \
    "Destination": "6140000", \
    "Usage": "123s", \
    "APIOpts": {}
    }], "id": 0})
pprint.pprint(cdr)

And you should get the same output.

If you’ve had issues with this, I’ve posted a copy of the code in GitHub.

We’re done here. Well done. This one was a slog.

CGrateS in Baby Steps – Part 2 – Adding Rates and Destinations through the API

In our last post we dipped a toe into CGrateS.

We cheated a fair bit, to show something that worked, but it’s not something you’d probably want to use in real life, loading static CSV files gets us off the ground, but in reality we don’t want to manage a system through CSV files.

Instead, we’d want to use an API.

Fair warning – There is some familiarity expected with JSON and RESTful APIs required, we’ll use Python3 for our examples, but you can use any programing language you’re comfortable with, or even CURL commands.

So we’re going to start by clearing out all the data we setup in CGrateS using the cgr-loader tool from those imported CSVs:

redis-cli flushall
sudo mysql -Nse 'show tables' cgrates | while read table; do sudo mysql -e "truncate table $table" cgrates; done
cgr-migrator -exec=*set_versions -stordb_passwd=CGRateS.org
sudo systemctl restart cgrates

So what have we just done?
Well, we’ve just cleared all the data in CGrateS.
We’re starting with a blank slate.

In this post, we’re going to define some Destinations, some Rates to charge and then some DestinationRates to link each Destination to a Rate.

But this time we’ll be doing this through the CGrateS API.

Introduction to the CGrateS API

CGrateS is all API driven – so let’s get acquainted with this API.

I’ve written a simple Python wrapper you can find here that will make talking to CGRateS a little easier, so let’s take it for a spin and get the Destinations that are loaded into our system:

import cgrateshttpapi
CGRateS_Obj = cgrateshttpapi.CGRateS('172.16.41.133', 2080) #Replace this IP with the IP Address of your CGrateS instance...

destinations = CGRateS_Obj.SendData({'method':'ApierV1.GetTPDestinationIDs','params':[{"TPid":"cgrates.org"}]})['result']

#Pretty print the result:
print("Destinations: ")
pprint.pprint(destinations)

All going well you’ll see something like this back:

Initializing with host 172.16.41.133 on port 2080
Sending Request with Body:
{'method': 'ApierV2.Ping', 'params': [{'Tenant': 'cgrates.org'}]}
Sending Request with Body:
{'method': 'ApierV2.GetTPDestinationIDs', 'params': [{"TPid":"cgrates.org"}]}
Destinations from CGRates: []

So what did we just do?
Well, we sent a JSON formatted string to the CGRateS API at 172.16.41.133 on port 2080 – You’ll obviously need to change this to the IP of your CGrateS instance.

In the JSON body we sent we asked for all the Destinations using the ApierV1.GetTPDestinationIDs method, for the TPid ‘cgrates.org’,

And it looks like no destinations were sent back, so let’s change that!

Note: There’s API Version 1 and API Version 2, not all functions exist in both (at least not in the docs) so you have to use a mix.

Adding Destinations via the API

So now we’ve got our API setup, let’s see if we can add a destination!

To add a destination, we’ll need to go to the API guide and find the API call to add a destination – in our case the API call is ApierV2.SetTPDestination and will look like this:

{'method': 'ApierV2.SetTPDestination', 'params': [
    {"TPid": "cgrates.org", "ID": "Dest_AU_Mobile",
        "Prefixes": ["614"]}]}

So we’re creating a Destination named Dest_AU_Mobile and Prefix 614 will match this destination.

Note: I like to prefix all my Destinations with Dest_, all my rates with Rate_, etc, so it makes it easy when reading what’s going on what object is what, you may wish to do the same!

So we’ll use the Python code we had before to list the destinations, but this time, we’ll use the ApierV2.SetTPDestination API call to add a destination before listing them, let’s take a look:

import cgrateshttpapi
import pprint
import sys
CGRateS_Obj = cgrateshttpapi.CGRateS('172.16.41.133', 2080)

CGRateS_Obj.SendData({'method':'ApierV2.SetTPDestination','params':[{"TPid":"cgrates.org","ID":"Dest_AU_Mobile","Prefixes":["614"]}]})

destinations = CGRateS_Obj.SendData({'method':'ApierV1.GetTPDestinationIDs','params':[{"TPid":"cgrates.org"}]})['result']
print("Destinations: ")
pprint.pprint(destinations)
print("\n\n\n")

Now if you run the code you’ll see something like this:

Initializing with host 172.16.41.133 on port 2080
Sending Request with Body:

Sending Request with Body:
{'method': 'ApierV2.SetTPDestination', 'params': [{'TPid': 'cgrates.org', 'ID': 'Dest_AU_Mobile', 'Prefixes': ['614']}]}

{'method': 'ApierV1.GetTPDestinationIDs', 'params': [{'TPid': 'cgrates.org'}]}
Destinations: 
['Dest_AU_Mobile']

Boom! There’s our added destination, le’s add a few more using the same process, so we’ve got a few other destinations defined:

CGRateS_Obj = cgrateshttpapi.CGRateS('172.16.41.133', 2080)

CGRateS_Obj.SendData({'method':'ApierV2.SetTPDestination','params':[{"TPid":"cgrates.org","ID":"Dest_AU_Fixed","Prefixes":["612", "613", "617", "618"]}]})
CGRateS_Obj.SendData({'method':'ApierV2.SetTPDestination','params':[{"TPid":"cgrates.org","ID":"Dest_AU_Mobile","Prefixes":["614"]}]})
CGRateS_Obj.SendData({'method':'ApierV2.SetTPDestination','params':[{"TPid":"cgrates.org","ID":"Dest_AU_TollFree","Prefixes":["6113", "6118"]}]})



print("Destinations: ")
for destination in destinations:
    destination = CGRateS_Obj.SendData({'method':'ApierV1.GetTPDestination','params':[{"TPid":"cgrates.org", "ID" : str(destination)}]})['result']
    pprint.pprint(destination)
print("\n\n\n")
sys.exit()

After adding some prettier printing and looping through all the destinations, here’s what your destinations should look like:

OrderedDict([('TPid', 'cgrates.org'),
             ('ID', 'Dest_AU_Fixed'),
             ('Prefixes', ['612', '613', '617', '618'])])

OrderedDict([('TPid', 'cgrates.org'),
             ('ID', 'Dest_AU_Mobile'),
             ('Prefixes', ['614'])])

OrderedDict([('TPid', 'cgrates.org'),
             ('ID', 'Dest_AU_TollFree'),
             ('Prefixes', ['6113', '6118'])])

Notice for AU Fixed, we defined multiple prefixes under the same Destination? Just as items in the list.

So we’ve created a bunch of Destinations, like so:

NamePrefix
Dest_AU_TollFree6113 & 6118
Dest_AU_Fixed612, 613, 617 & 618
Dest_AU_Mobile614
Destinations we just created

Next let’s create some rates which we can then associate with these destinations.

Adding Rates via the API

So to begin with let’s see if we’ve got any rates defined, we can do this with another API call, this time the ApierV1.GetTPRateIds call.

{"method":"ApierV1.GetTPRateIds","params":[{"TPid":"cgrates.org"}]}

And at the moment that returns no results, so let’s add some rates.

For this we’ll use the ApierV1.SetTPRate function:

{"method":"ApierV1.SetTPRate","params":[{"ID":"Rate_AU_Mobile_Rate_1","TPid":"cgrates.org","RateSlots":[{"ConnectFee":0,"Rate":22,"RateUnit":"60s","RateIncrement":"60s","GroupIntervalStart":"0s"}]}],"id":1}

If we post this to the CGR engine, we’ll create a rate, named Rate_AU_Mobile_Rate_1 that bills 22 cents per minute, charged every 60 seconds.

Let’s add a few rates:

CGRateS_Obj.SendData({"method":"ApierV1.SetTPRate","params":[{"ID":"Rate_AU_Mobile_Rate_1","TPid":"cgrates.org","RateSlots":[{"ConnectFee":0,"Rate":22,"RateUnit":"60s","RateIncrement":"60s","GroupIntervalStart":"0s"}]}],"id":1})
CGRateS_Obj.SendData({"method":"ApierV1.SetTPRate","params":[{"ID":"Rate_AU_Fixed_Rate_1","TPid":"cgrates.org","RateSlots":[{"ConnectFee":0,"Rate":14,"RateUnit":"60s","RateIncrement":"60s","GroupIntervalStart":"0s"}]}],"id":1})
CGRateS_Obj.SendData({"method":"ApierV1.SetTPRate","params":[{"ID":"Rate_AU_Toll_Free_Rate_1","TPid":"cgrates.org","RateSlots":[{"ConnectFee":25,"Rate":0,"RateUnit":"60s","RateIncrement":"60s","GroupIntervalStart":"0s"}]}],"id":1})

TPRateIds = CGRateS_Obj.SendData({"method":"ApierV1.GetTPRateIds","params":[{"TPid":"cgrates.org"}]})['result']
print(TPRateIds)
for TPRateId in TPRateIds:
    print("\tRate: " + str(TPRateId))

All going well, when you add the above, we’ll have added 3 new rates:

Rate NameCost
Rate_AU_Fixed_Rate_114c per minute charged every 60s
Rate_AU_Mobile_Rate_122c per minute charged every 60s
Rate_AU_Toll_Free_Rate_125c connection, untimed
Rates we just created

Linking Rates to Destinations

So now with Destinations defined, and Rates defined, it’s time to link these two together!

Destination Rates link our Destinations and Route rates, this decoupling means that we can have one Rate shared by multiple Destinations if we wanted, and makes things very flexible.

For this example, we’re going to map the Destinations to rates like this:

DestinationRate NameDestination NameRate Name
DestinationRate_AUDest_AU_FixedRate_AU_Fixed_Rate_1
DestinationRate_AUDest_AU_MobileRate_AU_Mobile_Rate_1
DestinationRate_AUDest_AU_TollFreeRate_AU_Toll_Free_Rate_1
Destination_Rate_AU we will create

So let’s go about making this link in CGrateS, for this we’ll use the ApierV1.SetTPDestinationRate method to add the DestinationRate, and the ApierV1.GetTPDestinationRateIds to get the list of them.

CGRateS_Obj.SendData({"method": "ApierV1.SetTPDestinationRate", "params": \
    [{"ID": "DestinationRate_AU", "TPid": "cgrates.org", "DestinationRates": \
        [ {"DestinationId": "Dest_AU_Fixed", "RateId": "Rate_AU_Fixed_Rate_1", "Rate": None, "RoundingMethod": "*up", "RoundingDecimals": 4, "MaxCost": 0, "MaxCostStrategy": ""} ]\
    }]})

TPDestinationRates = CGRateS_Obj.SendData({"jsonrpc":"2.0","method":"ApierV1.GetTPDestinationRateIds","params":[{"TPid":"cgrates.org"}]})['result']
for TPDestinationRate in TPDestinationRates:
    pprint.pprint(TPDestinationRate)

All going well, you’ll see the new DestinationRate we added.

Here’s a good chance to show how we can add multiple bits of data in one API call, we can tweak the ApierV1.SetTPDestinationRate method and include all the DestinationRates we need in one API call:

CGRateS_Obj.SendData({"method": "ApierV1.SetTPDestinationRate", "params": [
        {"ID": "DestinationRate_AU", "TPid": "cgrates.org", "DestinationRates": [ \
            {"DestinationId": "Dest_AU_Fixed", "RateId": "Rate_AU_Fixed_Rate_1", "Rate": None, "RoundingMethod": "*up", "RoundingDecimals": 4, "MaxCost": 0, "MaxCostStrategy": ""},\
            {"DestinationId": "Dest_AU_Mobile", "RateId": "Rate_AU_Mobile_Rate_1", "Rate": None, "RoundingMethod": "*up", "RoundingDecimals": 4, "MaxCost": 0, "MaxCostStrategy": ""}, \
            {"DestinationId": "Dest_AU_TollFree", "RateId": "Rate_AU_Toll_Free_Rate_1", "Rate": None, "RoundingMethod": "*up", "RoundingDecimals": 4, "MaxCost": 0, "MaxCostStrategy": ""}\
     ]},
    ]})

As we’ve only created one DestinationRate, let’s take a look at the detail:

TPDestinationRate = CGRateS_Obj.SendData({"jsonrpc":"2.0","method":"ApierV1.GetTPDestinationRate","params":[{"ID":"DestinationRate_AU","TPid":"cgrates.org"}],"id":1})
pprint.pprint(TPDestinationRate)

Phew, okay, if you made it this far, congratulations.

So where we stand now is we’ve created Rates, Destinations and tied the two together.

I’ve put a copy of all the Python code on GitHub here, in case you’re having issues you can work with that.

In our next post, we’ll keep working our way up this diagram, by creating RatingPlans and RatingProfiles to reference the DestinationRate we just created.

USSD Gateway with Osmocom

Unstructured Supplementary Service Data or “USSD” is the stack used in Cellular Networks to offer interactive text based menus and systems to Subscribers.

If you remember topping up your mobile phone credit via a text menu on your flip phone, there’s a good chance that was USSD*.

For a period, USSD Services provided Sporting Scores, Stock Prices and horoscopes on phones and networks that were not enabled for packet data.

Unlike plain SMS-PP, USSD services are transaction stateful, which means that there is a session / dialog between the subscriber and the USSD gateway that keeps track of the session and what has happened in the session thus far.

T-Mobile website from 2003 covering the features of their USSD based product at the time

Today USSD is primarily used in the network at times when a subscriber may not have balance to access packet data (Internet) services, so primarily is used for recharging with vouchers.

Osmocom’s HLR (osmo-hlr) has an External USSD interface to allow you to define the USSD logic in another entity, for example you could interface the USSD service with a chat bot, or interface with a billing system to manage credit.

Osmocom Osmo-HLR with External USSD Gateway interfaces and MSC Interface

Using the example code provided I made a little demo of how the service could be used:

Communication between the USSD Gateway and the HLR is MAP but carried GSUP (Rather than the full MTP3/SCCP/TCAP layers that traditionally MAP stits on top of), and inside the HLR you define the prefixes and which USSD Gateway to route them to (This would allow you to have multiple USSD gateways and route the requests to them based on the code the subscriber sends).

Here’s my Osmo-HLR config:

ctrl
 bind 127.0.0.1
hlr
 database /var/lib/osmocom/hlr.db
 subscriber-create-on-demand 15 cs+ps
 gsup
  bind ip 10.0.1.201
  ipa-name unnamed-HLR
 euse nicktest-00-00-00-00-00-00
 ussd route prefix *#100# internal own-msisdn
 ussd route prefix *#101# internal own-imsi
 ussd route prefix *#102# external nicktest-00-00-00-00-00-00
 ussd default-route external nicktest-00-00-00-00-00-00

Then I’m just running a slightly modified version of the example code that ships with Osmo-HLR.

(I had hoped to make a Python example and actually interface it with some external systems, but another day!)

The signaling is fairly straight forward, when the subscriber kicks off the USSD request, the HLR calls a MAP Invoke operation for “processUnstructuredSS-Request”

Unfortunately is seems the stock Android does not support interactive USSD.
This is exposed in the Android SDK so applications can access USSD interfaces (including interactive USSD) but the stock dialer on the few phones I played with did not, which threw a bit of a spanner in the works. There are a few apps that can help with this however I didn’t go into any of them.

(or maybe they used SIM Toolkit which had a similar interface)

Some thoughts on NRF Security in 5G Core

So I’ve been waxing lyrical about how cool in the NRF is, but what about how it’s secured?

A matchmaking service for service-consuming NFs to find service-producing NFs makes integration between them a doddle, but also opens up all sorts of attack vectors.

Theoretical Nasty Attacks (PoC or GTFO)

Sniffing Signaling Traffic:
A malicious actor could register a fake UDR service with a higher priority with the NRF. This would mean UDR service consumers (Like the AUSF or UDM) would send everything to our fake UDR, which could then proxy all the requests to the real UDR which has a lower priority, all while sniffing all the traffic.

Stealing SIM Credentials:
Brute forcing the SUPI/IMSI range on a UDR would allow the SIM Card Crypto values (K/OP/Private Keys) to be extracted.

Sniffing User Traffic:
A dodgy SMF could select an attacker-controlled / run UPF to sniff all the user traffic that flows through it.

Obviously there’s a lot more scope for attack by putting nefarious data into the NRF, or querying it for data gathering, and I’ll see if I can put together some examples in the future, but you get the idea of the mischief that could be managed through the NRF.

This means it’s pretty important to secure it.

OAuth2

3GPP selected to use common industry standards for HTTP Auth, including OAuth2 (Clearly lessons were learned from COMP128 all those years ago), however OAuth2 is optional, and not integrated as you might expect. There’s a little bit to it, but you can expect to see a post on the topic in the next few weeks.

3GPP Security Recommendations

So how do we secure the NRF from bad actors?

Well, there’s 3 options according to 3GPP:

Option 1 – Mutual TLS

Where the Client (NF) and the Server (NRF) share the same TLS info to communicate.

This is a pretty standard mechanism to use for securing communications, but the reliance on issuing certificates and distributing them is often done poorly and there is no way to ensure the person with the certificate, is the person the certificate was issued to.

3GPP have not specified a mechanism for issuing and securely distributing certificates to NFs.

Option 2 – Network Domain Security (NDS)

Split the network traffic on a logical level (VLANs / VRFs, etc) so only NFs can access the NRF.

Essentially it’s logical network segregation.

Option 3 – Physical Security

Split the network like in NDS but a physical layer, so the physical cables essentially run point-to-point from NF to NRF.

Thoughts?

What’s interesting is these are presented as 3 options, rather than the layered approach.

OAuth2 is used, but

Summary


NRF and NF shall authenticate each other during discovery, registration, and access token request. If the PLMN uses
protection at the transport layer as described in clause 13.1, authentication provided by the transport layer protection
solution shall be used for mutual authentication of the NRF and NF.
If the PLMN does not use protection at the transport layer, mutual authentication of NRF and NF may be implicit by
NDS/IP or physical security (see clause 13.1).
When NRF receives message from unauthenticated NF, NRF shall support error handling, and may send back an error
message. The same procedure shall be applied vice versa.
After successful authentication between NRF and NF, the NRF shall decide whether the NF is authorized to perform
discovery and registration.
In the non-roaming scenario, the NRF authorizes the Nnrf_NFDiscovery_Request based on the profile of the expected
NF/NF service and the type of the NF service consumer, as described in clause 4.17.4 of TS23.502 [8].In the roaming
scenario, the NRF of the NF Service Provider shall authorize the Nnrf_NFDiscovery_Request based on the profile of
the expected NF/NF Service, the type of the NF service consumer and the serving network ID.
If the NRF finds NF service consumer is not allowed to discover the expected NF instances(s) as described in clause
4.17.4 of TS 23.502[8], NRF shall support error handling, and may send back an error message.
NOTE 1: When a NF accesses any services (i.e. register, discover or request access token) provided by the NRF ,
the OAuth 2.0 access token for authorization between the NF and the NRF is not needed.

TS 133 501 – 13.3.1 Authentication and authorization between network functions and the NRF