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TelcoLadder

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Point it at a 5G core capture and get the call flow per subscriber, with every failure explained: NGAP, NAS, SBI, PFCP and GTP-U correlated into one timeline, each cause code resolved to the 3GPP clause it comes from, each network function named instead of shown as an IP. The output is Mermaid you can paste into GitHub, or an interactive viewer in your browser.

Drop a capture, get each subscriber's correlated ladder — failures explained with their 3GPP clause and the most common field causes

telcoladder analyze failed_attach.pcapng
sequenceDiagram
    autonumber
    participant gNB
    participant AMF
    Note over gNB,AMF: SUPI 001011234567895
    gNB->>AMF: #35;7 InitialUEMessage ▸ Registration request
    AMF->>gNB: #35;8 DownlinkNASTransport ▸ Authentication request
    rect rgb(255, 226, 226)
    gNB->>AMF: #35;9 UplinkNASTransport ▸ Authentication failure
    Note over AMF: Synch failure (#35;21) — 3GPP TS 24.501 §9.11.3.2
    end
    rect rgb(255, 226, 226)
    AMF->>gNB: #35;10 DownlinkNASTransport ▸ Registration reject
    Note over gNB: Protocol error, unspecified (#35;111) — 3GPP TS 24.501 §9.11.3.2
    end

That is real output from tests/fixtures/ki-mismatch, not an illustration — a UE provisioned with the wrong key, captured on a local Open5GS testbed. Note that it is not the MAC failure you would expect: a UE whose K does not match computes an AUTS the network cannot resynchronise from, so you get #21 and then a bare #111. The cause table says so because we ran it, not because it sounded right.

Reading a 5G call flow in the Wireshark GUI means scrolling packet by packet, and every unfamiliar cause code sends you back to the specs. TelcoLadder turns the capture into a diagram, names the network functions, and cites the clause the cause code comes from.

The same capture in the browser: a packet list with real tshark display filters, per-frame decode tree and hex, the subscriber list, the ladder, and a per-PDU-session correlation matrix where every cell cites the frame it came from.

telcoladder serve            # → http://localhost:3005, drop a capture on the page

TelcoLadder browser interface

Named after the ladder diagram — the call-flow drawing every telecom engineer has squinted at. The name is narrower than the tool: the browser view, the per-procedure xDR export and the PDU-session matrix are not ladders. It stuck anyway.

Operating guide for real captures (workflows and capability boundaries): docs/user-guide.md

Status: early. N2/NAS (NGAP + NAS-5GS), SBI, N4 (PFCP), and N3 (GTP-U) are each exercised against real testbed captures, including one that carries N2, SBI and N4 from a single registration, and one where the N3 tunnel endpoint is byte-for-byte the one NGAP promised. What those captures do not contain is the long tail — see Honest limitations before you rely on it.


What it does today

  • Reads NGAP, NAS-5GS, HTTP/2 SBI, PFCP and GTP-U (5G); S1AP, NAS-EPS and GTPv2-C (4G/EPC); SIP and Diameter (IMS) from pcap / pcapng via tshark — three generations of signalling on one timeline, not three separate tools.
  • Names the network functions instead of showing IP addresses, and shows the IP when the evidence is ambiguous rather than guessing. The 23 roles the test captures actually produce: gNB, AMF, AUSF, UDM, UDR, PCF, BSF, NRF, SMF, UPF, SCP (5G); eNB, MME, SGW, PGW, HSS, PCRF, PCEF, DRA (4G/EPC); UE, P-CSCF, I-CSCF, S-CSCF (IMS).
  • Understands relays. A production core almost always has one — a 5G SCP, a Diameter DRA, a SIP proxy — and then every message's wire peer is the middlebox, not the network function you care about. TelcoLadder reads the target the message names (3gpp-Sbi-Target-apiRoot for SBI) rather than the address it was sent to, labels the relay as what it is, and refuses to attribute the services behind it to it. The relay keeps its own lane, so a forward that never happened is still visible.
  • Correlates one subscriber across identifiers and across protocols: SUPI (recovered from a null-scheme SUCI in NAS, and from imsi-… / suci-… in SBI resource paths) and RAN/AMF UE NGAP IDs. On a testbed capture — null-scheme SUCI, cleartext h2c — the NGAP/NAS attach and the SBI exchanges behind it land in one flow. On a production trace with TLS on SBI and ECIES-protected SUCIs the N2 side still forms its own per-UE flow; what could not be read is counted and reported, not silently dropped. HTTP/2 stream IDs are tracked separately, pairing a request with its response.
  • Needs to be told how to decode non-standard ports. A capture that starts after the TCP connections are up has no HTTP/2 preface for tshark to find, so SBI silently decodes as raw data. Adapters declare the common cases (DECODE_AS); anything else goes through --decode-as.
  • One row per packet by default, with the carrier and its payload stacked on the same line (DownlinkNASTransport ▸ Authentication request). Pass --flow to spread them out and draw NAS UE↔AMF instead — NAS is a UE↔AMF protocol that the gNB only relays, and seeing it that way is easier when you are learning a procedure rather than scanning one.
  • Times every gap. The gutter carries the absolute timestamp and the delta from the row above, with second-long gaps highlighted — signalling runs on millisecond rhythms, so a hole that big is a timer waiting.
  • Cites the spec for cause codes, from a hand-checked static table. Never generated, never guessed.
  • Reads Diameter — S6a/S6d, Cx/Dx and Gx today, plus the base protocol (CER, DWR, DPR). It names the network functions from who initiates which command — that is the only way to tell an I-CSCF from an S-CSCF, since their addresses look identical — spots a DRA from the Route-Record it is required to leave behind, and joins one subscriber's S6a, Gx and Cx exchanges into a single flow. Two separate cause tables, because Result-Code 5001 (AVP unsupported) and Experimental-Result-Code 5001 (user unknown) are different questions with the same number.
  • Splits a subscriber's traffic into procedures — registration, PDU session establishment, service request, deregistration — each with its own outcome, cause, root cause and duration. A long capture of one subscriber is three attaches, not one undifferentiated flow, and the question engineers actually ask is "why did the second one fail".
  • Exports procedure records as JSON (--xdr), one object per procedure: who, which procedure, outcome, cause and root cause, duration. Byte-for-byte reproducible for the same capture, so jq can answer "what is the failure rate across this batch" without anyone reading a diagram.
  • Speaks English or Traditional Chinese--lang zh_TW, or the EN / 中文 switch in the browser. Deliberately not the system locale; see Language.
  • Summarises a capture for an AI agent, or for a ticket (summarize): one page of deterministic facts — frames decoded, what could not be read, network elements, subscribers, procedures with outcomes, every failure with its 3GPP cause reference. Markdown or JSON, byte-for-byte reproducible. Nothing in it is generated: unobserved fields are null, not estimates.
  • Runs as an MCP server (telcoladder mcp) so Claude Code, Cursor or any MCP client can call summarize_capture, list_subscribers, get_subscriber_callflow and diagnose_failures as tools. Stdio only, no network listener, no extra dependencies.
  • Three ways to look at it: analyze writes Mermaid — a text file you can version-control, diff, and paste into GitHub; serve opens an interactive browser view of the same capture (packet list with real tshark display filters, per-frame decode tree, the call-flow ladder, a PDU-session correlation matrix); summarize writes the one-page summary above. There is no rendered report format — see the note on the retired --html report below.

Install

Requires Python 3.11+ and tshark (Wireshark 4.0 or newer recommended). Tested on macOS, Linux, and Windows — Windows users: a full PowerShell walkthrough is below.

brew install --cask wireshark                       # macOS
sudo apt install tshark                             # Debian/Ubuntu
winget install WiresharkFoundation.Wireshark        # Windows

pip install git+https://github.com/gollumw/TelcoLadder
telcoladder check                  # verifies tshark and dissectors

Not on PyPI yet. Install from git until the first tagged release. There is no build step: the browser interface is committed as a built bundle, so you do not need Node.

Neither the macOS nor the Windows installer puts tshark on your PATH — macOS hides it inside Wireshark.app, and the Windows installer leaves the "Add to PATH" box unchecked by default. TelcoLadder looks in the standard install directories, so it finds it anyway.

Windows, step by step

The one-liner above works on Windows too, but if you prefer an isolated install (or pip is not on your PATH), use a venv. In PowerShell:

winget install WiresharkFoundation.Wireshark
winget install Python.Python.3.12          # skip if you already have 3.11+

git clone https://github.com/gollumw/TelcoLadder.git
cd TelcoLadder
py -m venv .venv
.venv\Scripts\pip install -e .
.venv\Scripts\telcoladder check           # ✓ tshark + ✓ dissectors = ready

Then either activate the venv (.venv\Scripts\Activate.ps1) and use telcoladder directly, or call .venv\Scripts\telcoladder each time:

.venv\Scripts\telcoladder analyze capture.pcapng
.venv\Scripts\telcoladder serve           # browser interface on 127.0.0.1:3005

Three Windows-specific things are already handled — nothing to do: the unchecked "Add to PATH" box (searched automatically), console encoding (output pinned to UTF-8, so > redirection works), and quotes from Explorer's "Copy as path" (stripped automatically). More detail in the user guide.

If you installed somewhere else, or you need to pin a specific Wireshark version, point TELCOLADDER_TSHARK at the binary:

export TELCOLADDER_TSHARK=/path/to/tshark                      # macOS/Linux
setx TELCOLADDER_TSHARK "C:\Program Files\Wireshark\tshark.exe"  # Windows

Usage

telcoladder analyze capture.pcapng                     # diagram to stdout
telcoladder analyze capture.pcapng -o flow.mmd         # write Mermaid to a file
telcoladder analyze capture.pcapng --flow              # one row per message
telcoladder analyze capture.pcapng --max-messages 80
telcoladder analyze capture.pcapng --no-frames         # drop packet numbers
telcoladder analyze capture.pcapng --xdr flows.json    # procedure records for scripts
telcoladder summarize capture.pcapng                   # one-page summary (Markdown)
telcoladder summarize capture.pcapng --json            # same facts as JSON

On a large capture, narrow it before you draw it:

telcoladder analyze big.pcapng --subscriber 001011234567895
telcoladder analyze big.pcapng --since 120 --until 180
telcoladder analyze big.pcapng --filter 'ngap || http2'

Narrowing by subscriber expands in two steps — the packets that carry the identifier, then the TCP streams and SCTP associations those belong to — because most packets carry no identifier at all and filtering on it directly would drop the whole N2 interface. Whatever it could not reach is listed explicitly, never silently dropped.

The diagram goes to stdout and the summary to stderr, so telcoladder analyze x.pcapng > flow.mmd gives you a clean file.

Language

Everything the tool says — --help, the analysis summary, error messages, the browser interface — is English by default and available in Traditional Chinese:

telcoladder analyze capture.pcapng --lang zh_TW
export TELCOLADDER_LANG=zh_TW                    # or set it once

In the browser there is an EN / 中文 switch in the header; the choice is remembered per browser. The tool deliberately ignores the system locale and the browser's Accept-Language: the same command on two machines should print the same words, because the output gets pasted into tickets.

The Mermaid diagram itself is language-independent — cause names are the spec's own English, and clause citations are clause citations. GitHub, GitLab, Obsidian and Notion render Mermaid inline, so the .mmd pastes straight into an issue or an RCA document; telcoladder serve shows it rendered right now.

Output is Mermaid, and it stays that way

The diagram is text. It diffs, it reviews, it pastes into a GitHub comment or a ticket, and it survives your company's document pipeline — which is more than a screenshot of a probe UI can say.

Output is byte-for-byte reproducible: no generation timestamp, so two runs over the same capture diff cleanly.

There used to be a --html report. It was retired in August 2026. It drew its own SVG in Python, which meant every layout rule — lane order, colour groups, the slow-gap threshold — existed twice: once there and once in the browser UI. Two implementations of the same judgement drift, and the drift is silent. The browser view is now the only rendered surface; Mermaid is the only file this tool writes.

Two views

The default is the wire view: one row per packet, carrier and payload stacked on the same line, protocol stack labelled. It is what you want when you look at captures all day and already know the procedures — a whole registration fits on one screen.

--flow gives you the other one: a captured NGAP frame carrying a NAS message becomes two arrows, and the NAS one is drawn UE↔AMF because that is who is actually talking. Looser, but it reads like a call flow, which is easier when you are trying to understand a procedure rather than scan for the break.

Either way the browser ladder carries the delta from the previous message, and gaps past one second are flagged: signalling runs on millisecond rhythms, so a second-long hole is almost always a timer waiting, and that is usually where the fault is.

In the browser

telcoladder serve            # → http://localhost:3005

Drop a capture onto the page, or paste a path. This is the full interface: a Wireshark-style packet list with real tshark display filters, per-frame decode trees and hex, the subscriber list, the call-flow ladder, and a PDU-session correlation matrix where every cell cites the message and frame it came from.

Paste the path for anything large. It reads the file where it already is: no copy, no temp file, starts immediately. Pushing a few hundred MB through HTTP to a server on the same machine buys you nothing.

Uploaded files are different: drilling into a capture means reading it again on later requests, so an upload is kept in the system temp directory (mode 0600) until you release it or it idles out — 15 minutes by default, --idle-ttl to change, --no-viewer to refuse uploads entirely. That path is for convenience, not for the 2 GB capture from a customer site.

The server binds 127.0.0.1 only and checks the Host header. It runs tshark on paths you hand it, so do not put it on a public interface. Drag-and-drop needs JavaScript; the paste-a-path form does not — which means the large-capture path works with scripting turned off.

When something was hidden from us, the page says so. A capture with ciphered NAS or ECIES-protected SUCIs gets a banner counting exactly what could not be read, above everything else — because a clean-looking procedure list is indistinguishable from one where the failure is inside a message we could not open. Not seeing a failure is not the same as there not being one.

For an AI agent

telcoladder summarize capture.pcapng            # paste into the prompt, or into the ticket
claude mcp add telcoladder -- telcoladder mcp   # or mount it as tools

summarize is the same analysis as analyze and serve, written as one page an agent can read without hallucinating a state machine: what the capture contains, what could not be read (ciphered NAS, ECIES-protected SUCIs, frames no dissector claimed — per port, and whether --decode-as would help or the capture has to be retaken — narrowing, automatic decode adjustments), the network elements and their roles, every subscriber with its PDU sessions, every procedure with its outcome and duration, and every failure with its 3GPP cause — table, value, name, spec and — where a human has transcribed it — clause, all from the hand-checked table. --json gives the same facts with a pinned field set; both are byte-for-byte reproducible.

The MCP server exposes the same facts as four tools over stdio. It is spawned by the client on the same machine and runs tshark on the paths it is handed, so there is deliberately no HTTP transport. One analysis per file is cached in memory for the session; nothing is copied or written to disk.

Large captures. Dissection runs at roughly 0.19 s/MB, so a 145 MB file takes about 28 seconds and a 2 GB one several minutes — past most MCP clients' request timeout. When the client supplies a progressToken, the server emits notifications/progress every two seconds while it works, which is what the protocol asks implementations to reset their timeout on; the agent still makes one call and gets one answer. The heartbeat reports elapsed seconds and no percentage, because the analysis makes one to three passes and a frame count would go backwards. All four tools also take since / until / filter so an agent can bound the work, and whatever was narrowed is always reported back in not_visible — the answer never silently describes a subset. Narrowing by subscriber is deliberately not exposed: it drops the whole N2 interface, and that trade-off should not be made implicitly.

One honest gap: the summary lists only identifiers the adapters actually extract — there is no 5G-GUTI/TMSI field, because nothing reads one yet. The cause explanations and common root causes are bilingual — English is the source, Chinese the translation, side by side in the same YAML entry — while the spec names and clause numbers are language-neutral and never translated.

Where this is going

The real gap in the open-source tooling is not drawing 5G call flows — it is correlating one subscriber across protocol boundaries. Debugging VoLTE or VoWiFi spans SIP (IMS), Diameter (Cx/Dx/Rx/S6a/SWx/SWm), GTP/NAS (EPC), and NGAP (5G), and no open tool stitches those into a single diagram.

That gap is now closed for the control plane. S1AP, NAS-EPS, GTPv2-C, SIP and Diameter all ship today, and they correlate: in the 4G VoLTE test capture, one subscriber's S1-MME attach, S11 bearer setup and Gm registration land in a single flow of 21 messages — bridged by the IMSI that GTPv2-C carries and by the no-ISIM IMPU that SIP derives back to it. The second subscriber does the same in 9. Neither is stitched by hand.

"Adding a protocol means adding an adapter rather than rewriting the core" was listed here as a goal, not a proven property. It is now measured: the core names zero adapters (tools/archmap.py reports it, and a test fails if the count leaves zero). Getting there took two rounds of paying that debt down — SBI had forced DECODE_AS into the contract, and NAS-5GS and SBI had left the pipeline importing them by name, which is now the optional blind_spots() hook. The three most recent adapters each landed without the core changing a line.

What is still missing, honestly:

  • The 4G and IMS cause tables. 286 cause values are extracted and none are explained yet — describe() says "not in this tool" rather than guessing. Spec-cited explanation is the whole point of this tool, so this is the next piece of work, not polish.
  • Media. SIP records the SDP ports; nothing reads them yet. RTP/RTCP correlation is the next adapter.
  • A real IMS capture. The 4G/IMS fixtures are hand-written byte by byte, with tshark as the oracle. What that cannot prove is listed in each scenario.md, and the CI badge does not cover it.

After that: local-LLM root-cause narration over the extracted facts and the cause table. The model narrates; it never produces a clause number — that rule is in CONTRIBUTING.md and it applies to the model too.

Prior art, and why this exists anyway

These tools came first and are worth your time. TelcoLadder is not trying to replace them.

Project What it does Why TelcoLadder still exists
telekom/5g-trace-visualizer pcap → SVG sequence diagrams for 5GC (HTTP/2, NAS, PFCP). Deutsche Telekom, Apache-2.0. Unmaintained since Aug 2023. PlantUML output needs plantuml.jar; driven from Jupyter notebooks with a large config surface aimed at k8s deployments.
irontec/sngrep Excellent, actively maintained ncurses SIP flow viewer. Terminal-only and SIP-only — you cannot paste its output into a document, and it does not touch 5G.
sipcapture/homer Full capture platform: server, agents, database, web UI. It is infrastructure you deploy and operate. TelcoLadder is a command you run against one file.
dgudtsov/pcap2uml IMS call flows across SIP/Diameter/MAP/CAMEL → PlantUML. The closest in spirit. No 5G support (no NGAP/NAS-5GS), PlantUML output.
agranig/pcap2mermaid SIP → Mermaid, in Perl. Two days of commits in January 2019, then nothing. It proved people want this; nobody picked it up.

What none of them do together: 5G and IMS in one correlated diagram, Mermaid as the output, and a spec-cited explanation of what went wrong.

How it is verified

Getting a diagram to appear is easy. Getting a complete one is the hard part — a flow missing three messages looks exactly like a correct one, with no error anywhere. So the test suite cross-checks against tshark as an independent oracle rather than only asserting on our own parse:

pytest
  • Message counts must match tshark -Y ngap -T fields -e frame.number | wc -l.
  • Procedure-code and NAS message-type names are compared against tshark's own info column, so a typo in the spec tables fails the build.
  • Every cause table entry must declare its spec; the clause is there when a human has transcribed it, and absent otherwise (the Diameter tables, today).
  • The multi-message frame case is pinned with a real capture where one frame carries four HTTP/2 streams.

Test captures live in tests/fixtures/, one directory per scenario, each with the capture, the core network's own logs, and a scenario.md explaining what it contains and how to regenerate it. 5gc-registration/ (N2 only) and 5gc-e2e/ (N2 + SBI + N4, captured at three disjoint points and merged) were both produced on a local Open5GS + UERANSIM testbed, so they carry this repo's licence and no third-party constraints.

What the badge does and does not mean. Every push runs the full suite on Python 3.11/3.12/3.13 on Linux, plus macOS and Windows on 3.13 — all on every push. The cross-checks above genuinely run there — the fixtures are in the repo, so nothing is skipped for want of a capture. It does not cover IMS, TLS-protected SBI, ECIES-protected SUCIs, or any deployment other than the one Open5GS topology the fixtures came from. Those gaps are real and are named at the top of .github/workflows/ci.yml.

Honest limitations

  • SBI is verified against exactly one deployment. tests/fixtures/5gc-e2e/ is Open5GS with an SCP in the path, so the service-name-to-NF mapping and the SUPI extraction are exercised — but only for the services that deployment emits, and only for null-scheme SUCIs. Real SBI is usually TLS-encrypted, so on a production trace you will not see inside SBI — but N2 is unaffected: you still get the per-UE registration flow, every NGAP cause, and NAS causes up to Security Mode Command, plus an explicit count of the SBI frames that could not be read. Testbeds and cleartext h2c are where the SBI correlation is exercised.
  • Relay detection needs the deployment to say so. It keys on the target the message names — 3gpp-Sbi-Target-apiRoot in SBI. A fully transparent SCP that sends no such header is indistinguishable from the real endpoint, and its address falls back to an unlabelled IP. That is the correct failure direction, but it is a real gap. Diameter will be sturdier here: a DRA may not rewrite Origin-Host, and it signs its own passage with a Route-Record.
  • Diameter covers three interfaces, and no clause numbers. S6a/S6d, Cx/Dx and Gx have network-function roles and curated causes; the other twenty-odd 3GPP applications decode and display their Application-Id but get no role inference and no cause lookup — an honest "not done yet" rather than a guess. The cause names are pinned against tshark's own tables by a test; the clause numbers are not transcribed, so a Diameter cause prints its spec (3GPP TS 29.230, RFC 6733) without a section. No clause in this repo is machine-generated, and an absent one is better than a wrong one. The fixture is written byte by byte from RFC 6733 rather than captured — it has no SCTP, no message reassembly and invented timing; see tests/fixtures/diameter-epc-ims/scenario.md.
  • Diameter procedures are cut by Session-Id, not by the window heuristic the 5G side uses — RFC 6733 already marks the boundary on the wire. On a stateless interface like S6a that means one transaction per procedure, which is what the protocol actually does. Messages with no Session-Id (CER, DWR, DPR) are peer maintenance and stay out of the procedure list rather than padding it. A request relayed through a DRA is seen twice; it is counted as one failure, keyed on the End-to-End Identifier that RFC 6733 §6.2 requires a relay to preserve.
  • PFCP carries no cause explanations. The adapter reads message types and SEIDs and marks failures, but TS 29.244's cause table has not been transcribed yet, so a failed N4 message is highlighted without a clause citation. Transcribing that table is manual work by design — no clause number in this repo is machine-generated.
  • N4 joins the subscriber through the GTP-U tunnel endpoint, not the SEID. No message carries both a SUPI and a PFCP SEID. What both sides do carry is the F-TEID the UPF allocates: it appears in the PFCP Session Establishment Response and again in NGAP's UP transport layer information on its way to the gNB. Keying on (address, TEID) merges them — flow counts drop from 9 to 7 on 5gc-e2e and 25 to 15 on multi-imsi. The address matters: one capture had two different endpoints both using TEID 3. The same key now also joins the user plane: see the next entry.
  • Failure highlighting is verified against real testbed captures, not synthetic ones — see tests/fixtures/, where each scenario ships the core-network log that independently confirms the cause code. What is not covered is the long tail: the cause table holds the codes we have actually seen, and anything else prints "not in this tool's cause table yet" rather than a guess.
  • GTP-U joins the subscriber, but carries no KPIs yet. The gtp adapter (2026-08-21) keys each packet on (destination address, TEID) — the same gtp_tunnel() the signalling side emits — so user-plane packets land in the right subscriber's flow, QFI included (verified against a testbed capture where the N3 TEID is byte-for-byte the one NGAP promised, and the message count is cross-checked against tshark). What it does not do yet is aggregate: no throughput, no sequence-gap loss, no Echo RTT. Every G-PDU is one row — honest, but heavy user-plane captures will want --since/--until.
  • NAS after Security Mode Command is encrypted and its content is invisible. Those packets still appear as their NGAP carrier. This is how the network works, not a parsing failure.
  • Mermaid gets slow with very large flows. Use --max-messages; truncation is always stated inside the diagram, never silent.

Contributing, and reporting problems

CONTRIBUTING.md is short. It has two rules that matter more than anything else in it: no real subscriber or customer data, anywhere, and every spec clause is verified by a human, never generated.

Found a vulnerability? SECURITY.md — not a public issue.

License

Apache-2.0. See LICENSE.

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