GHSA-22c2-9gwg-mj59 — langroid
Fix: langroid/langroid@0d9e4a7GHSA-22c2-9gwg-mj59 is a Code Injection vulnerability in langroid. A fix is available for langroid — see the affected versions and patch details below.
Langroid has a Code Injection vulnerability in LanceDocChatAgent through vector_store
Exploitation Status
No confirmed exploitation observed yet
- CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
- A successful exploit gives an attacker total control of the affected component, not partial access.
- CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.
Exploitation and automatability from CISA’s SSVC triage for GHSA-22c2-9gwg-mj59.
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Real-World Exposure
langroidReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
Summary
LanceDocChatAgent uses pandas eval() through compute_from_docs():
https://github.com/langroid/langroid/blob/18667ec7e971efc242505196f6518eb19a0abc1c/langroid/vector_store/base.py#L136-L150
As a result, an attacker may be able to make the agent run malicious commands through QueryPlan.dataframe_calc compromising the host system.
Fix
Langroid 0.53.15 sanitizes input to the affected function by default to tackle the most common attack vectors, and added several warnings about the risky behavior in the project documentation.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | langroid | all versions | 0.53.15pip install --upgrade 'langroid==0.53.15' |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for langroid, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update langroid to 0.53.15 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-22c2-9gwg-mj59 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-22c2-9gwg-mj59 can be triaged on real exposure rather than presence alone.
Tailored to GHSA-22c2-9gwg-mj59. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-22c2-9gwg-mj59 in your dependencies?
O3 Security finds GHSA-22c2-9gwg-mj59 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.