A contributor should be able to run this with nothing installed but Docker: docker compose build TARGET=/path/to/repo docker compose run --rm ousast scan /target One image rather than two services, and the reason is the seam. The model layer reaches Joern by subprocess; putting both in the same image means Joern is simply on PATH, so there is no container-to-container call, no docker socket to mount, no host/container path translation, and no second code path in cpg/backend.py to get wrong. Sibling services would need the tool to exec into the engine's container, which means handing a linter the docker socket -- a large amount of privilege for something that reads source code. The image is big (a JRE plus ~2 GB of Joern); that is the honest cost of bundling an engine. I had started building the two-service version with a docker-wrapper mode in the backend and dropped it, tests included: once the engine is on PATH the wrapper is complexity with no purpose. Defaults chosen so an unfamiliar analyser is safe to try: the target mounts READ-ONLY, /work is a tmpfs so CPG scratch never outlives the run or touches the host, network_mode is `none` unless the LLM judge is wanted, and API keys pass through the environment rather than into an image layer. mem_limit is set because two Joern JVMs at once is what triggered an out-of-memory kill on a 7.7 GB machine during this feature's measurements. pyinfra deploy kept for persistent host installs, with the same version pin and the same checksum verification -- done as an explicit `sha512sum -c` step because pyinfra's files.download offers sha384/sha256/sha1/md5 and Joern publishes sha512. That mismatch was caught by validating against the installed pyinfra rather than trusting the API from memory. Both include php-cli: php2cpg drives PHP-Parser and shells out to a real interpreter, and without it a PHP tree fails with an opaque "Process exited with code 1" -- measured here, which is what makes a WordPress corpus feasible. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
ops
Infrastructure for the optional engines. Nothing here is a project dependency: the core install is
dependencies = [] and every engine below degrades to a recorded reason when it is absent.
Two ways to get the engine
Docker (recommended for contributors). The tool and Joern ship in one image, so nothing is installed on the host and there is no container-to-container call, no docker socket, and no host/container path translation:
docker compose build
TARGET=/path/to/repo docker compose run --rm ousast scan /target
The target is mounted read-only; /work is a tmpfs so CPG scratch never outlives the run. The LLM endpoint
is optional and passed through the environment, never baked into a layer — without it the model layer still
entails and only the suspicion band goes unasked. network_mode defaults to none; set it to bridge
only when you want the judge.
pyinfra (for a persistent host install). Same engine, same pin, same checksum, but on the machine:
uv pip install pyinfra # tooling only
pyinfra @local ops/joern.py # this machine
Pin the version and its checksum in an inventory rather than editing the deploy:
# inventory.py
hosts = [("@local", {"joern_version": "v4.0.623", "joern_prefix": "/opt/joern"})]
The checksum needs no inventory entry: the deploy fetches the .sha512 upstream publishes beside the
archive and runs sha512sum -c against it, before unpacking. (pyinfra's files.download offers
sha384/sha256/sha1/md5 but not sha512, which is what Joern publishes — so verification is an explicit
shell step rather than a download argument.)
Why this exists: Joern was first installed here by hand with curl and unzip, which is fine once and
unreproducible thereafter. The engine decides whether a finding is a suspicion or a model_entailed, and
every ceiling number in benchmarks/measurements is only comparable against a fixed version — so the version
is pinned, the download is checksum-verified, and a re-run with a matching stamp is a no-op.
It installs an engine; it does not become one. No sandbox, no container, no service. openultrasast.cpg.backend
reaches Joern by subprocess and this changes nothing about that.
What we actually use from Joern
A small, deliberately narrow surface — worth stating, because it is what determines whether a given Joern version works for us:
| entry point | use |
|---|---|
joern-parse <src> --output cpg.bin |
build the CPG |
joern --script q.sc --param k=v |
run a shipped CPGQL query, JSON fenced on stdout |
CPGQL steps, all of them in src/openultrasast/cpg/queries/*.sc:
| step | why |
|---|---|
cpg.call / cpg.method / cpg.identifier |
locate sinks, operations, sources |
.reachableByFlows |
the interprocedural dataflow the flat IR could not do |
.argument, .argumentIndexGt(0) |
arity and the safe-shape test — index 0 is the receiver, named args are −1 |
.ast.isLiteral |
constant abstraction; a keyword argument is assignment-shaped so the literal sits in its subtree |
.dominatedBy, .controlledBy |
guard dominance for absence bugs; controlledBy is what catches a check that runs after the fetch |
.controlStructure.condition |
identity branches |
.method.filename / .lineNumber / .lineNumberEnd |
closure scoping by line-range containment |
.methodFullName |
resolved sink matching |
ujson |
the fenced JSON payload |
No Joern server mode, no workspace/project management, no joern-scan, no overlays beyond the defaults.
Languages
Joern ships frontends for C/C++, Java (source and bytecode), JavaScript/TypeScript, Python, Kotlin, Go, C#, PHP, ABAP and Ghidra binaries. We currently model python, javascript, java, c.
PHP works but needs a PHP interpreter: php2cpg drives PHP-Parser and shells out to php, so on a host
without it a PHP tree fails to build with an opaque "Process exited with code 1". Set php_frontend: True in
the inventory to install php-cli alongside the JVM.