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AI agent vulnerability · OpenClaw

GHSA-xwcj-hwhf-h378: OpenClaw Telegram media fetch errors exposed bot tokens in logged file URLs

mediumCVSS 4.0 6.9

Summary openclaw versions /..., so the resulting error strings could leak bot tokens into logs, console output, or any downstream error surface that rendered the exception text. This issue is in scope under OpenClaw's trust model because the leaked secret is an OpenClaw-operated integration credential, not a user-supplied third-party secret.

Published Mar 16, 2026

Affected packages

openclaw

Ecosystem
npm
Affected
<= 2026.3.12
Fixed in
2026.3.13
Check
npm ls openclaw

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

Summary

openclaw versions <= 2026.3.12 could include raw Telegram bot tokens in media fetch error strings when inbound Telegram media downloads failed.

Affected Packages / Versions

  • Package: openclaw (npm)
  • Affected versions: <= 2026.3.12
  • Fixed version: 2026.3.13

Details

The vulnerable path was fetchRemoteMedia() in src/media/fetch.ts. In affected releases, fetch and HTTP error paths embedded the original Telegram file URL into MediaFetchError messages. For Telegram media, those URLs can include /file/bot<TOKEN>/..., so the resulting error strings could leak bot tokens into logs, console output, or any downstream error surface that rendered the exception text.

This issue is in scope under OpenClaw's trust model because the leaked secret is an OpenClaw-operated integration credential, not a user-supplied third-party secret.

Fix

[email protected] redacts sensitive media URLs before constructing fetch error messages. Current code routes the source URL and follow-on error paths through redactMediaUrl() / redactSensitiveText(), so Telegram bot tokens are no longer emitted in those error strings.

Regression coverage exists in src/media/fetch.test.ts (redacts Telegram bot tokens from fetch failure messages and redacts Telegram bot tokens from HTTP error messages).

Fix Commit(s)

  • 7a53eb7ea8295b08be137e231c9a98c1a79b5cd5

Thanks @space08 for reporting.

Credited to space08.

References

How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology

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