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Fencer Intel
high 8.1

GHSA-g5ff-637f-6q2m json

LiteLLM: internal_user_viewer arbitrary local file read via `vertex_ai_credentials`

published last mo. modified 15d ago

cvss
8.1
version 3.1, GitHub
cisa kev
Not listed
not in CISA's catalog
epss
—
no score, EPSS covers CVEs only
public exploits
0
none known

Summary

## 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.

Patch / fix

Is GHSA-g5ff-637f-6q2m in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.

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CVSS scores

assigned by version score vector
GitHub 3.1 8.1 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N

Affected packages

ecosystem package affected fixed in
pypi litellm
<1.95.0
1.95.0

Classification

Weakness
  • CWE-20 Improper Input Validation
  • CWE-22 Improper Limitation of a Pathname to a Restricted Directory

References

Sources

Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.

The maintainers of BerriAI/litellm published their own advisory on GitHub. Reviewed sources take precedence over it.