Capability
Source code auditing by an autonomous security researcher.
Vorthix AI's XOR-1 agent audits source code end to end without human guidance. It builds its own model of how your software fits together, looks for the ways an attacker could abuse it, and writes the proof-of-concept needed to show a bug is real. The Vorthix research team then verifies each result before it reaches your engineers.
- Languages
- 14 supported
- Input
- Source and compiled binaries
- Handoff
- PoC, root cause, patch
The problem
Reviews that arrive late or say too little.
A manual audit is a snapshot: a few consultants, a fixed window, and a report that is stale once the next release ships. Pattern-based scanners run on every commit, but they return long lists of suspicions that an engineer must investigate one by one.
Teams end up choosing between depth they cannot repeat and breadth they cannot trust.
How XOR-1 works on this
From first hypothesis to a verified report.
- 01
Ingest and model
XOR-1 compiles the target with sanitizers and coverage instrumentation, then maps modules, data flows, and trust boundaries.
- 02
Form hypotheses
It reasons about where the code is most likely to break and ranks each candidate by how an attacker could reach it.
- 03
Write the PoC
For every hypothesis the agent writes the input or exploit that triggers the flaw and runs it against an instrumented build.
- 04
Confirm and report
Only results that reproduce are kept. Each report carries a minimized reproducer, the runtime trace, the root-cause path, a suggested patch, and a regression test.
What your team receives
A handoff engineers can act on.
- A working proof-of-concept for every finding
- A minimized input that reproduces the issue
- Runtime trace and the exact root-cause location
- A suggested patch with a regression test
- Verification by the Vorthix research team before delivery
Published work
Findings you can read in full.
Questions
Common questions.
What does an automated source code audit from Vorthix cover?
It covers the repository you scope: memory-safety flaws, logic errors in parsers and protocol handlers, and weaknesses in dependencies your code actually reaches. The scope is agreed in a workshop before work starts.
Which languages can XOR-1 audit?
C, C++, Rust, Go, Python, TypeScript, JavaScript, Java, Kotlin, Ruby, PHP, Swift, Assembly, and Solidity. Compiled binaries can be analyzed as well.
How is this different from a SAST scanner?
A SAST scanner matches patterns and reports suspicion. XOR-1 writes and runs a working PoC for each candidate and drops anything it cannot demonstrate, so engineers receive findings they can run themselves.
How long does a focused audit take?
Initial findings for a focused engagement typically arrive within 24 to 48 hours of kickoff. Larger scopes are planned case by case.
Keep exploring
More from Vorthix Sec.
Bring us the code that matters most.
Tell us about your software and we will scope the right engagement.