GitHub Advisoryadvisory · PyPI
GHSA-5jmr-gcrj-2c9q LiteLLM: Arbitrary file write via path traversal in Skills archive extraction
MEDIUM
Official page ↗
- Aliases
- CVE-2026-59820
- Ecosystem
- PyPI
- Packages
- litellm
- Severity
- Moderate
- CVSS vector
- CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N
- Weaknesses
- CWE-22
- Reviewed
- 2026-07-22
Affected packages
• PyPI litellm: < 1.83.7 → fixed in 1.83.7
Description
Impact
LiteLLM Skills archive extraction did not sufficiently validate file paths from uploaded skill ZIP archives. An authenticated user with access to LiteLLM LLM API routes, or a key whose `allowed_routes` includes `/v1/skills`, `anthropic_routes`, or `llm_api_routes`, could upload a crafted skill archive containing path traversal entries.
When the skill was processed for execution, those entries could be written outside the intended extraction/staging directory. This could allow arbitrary file write and may lead to code execution depending on deployment configuration and writable paths.
Patches
The issue is fixed in `1.83.7-stable`.
LiteLLM recommens upgrading to `1.83.7-stable` or later.
Workarounds
If upgrading is not immediately possible:
1. Block `POST /v1/skills` at your reverse proxy or API gateway.
2. Restrict Skills API access to trusted users only.
Related
Alias · CVE (1)
- CVE-2026-59820 LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. vulnerability
Weakness · CWE (1)
- CWE-22 Improper Limitation of a Pathname to a Restricted Directory weakness
References
- https://github.com/BerriAI/litellm/security/advisories/GHSA-5jmr-gcrj-2c9q web
- https://nvd.nist.gov/vuln/detail/CVE-2026-59820 advisory
- https://github.com/BerriAI/litellm/pull/25475 web
- https://github.com/BerriAI/litellm/commit/6a15adcd64137d37f73dee76dfe7481f8c2d9196 web
- https://github.com/BerriAI/litellm package
- https://github.com/BerriAI/litellm/releases/tag/v1.83.7-stable web