High

Crawl4AI: LLM credential exfiltration in Docker server via request base_url and env: token resolution

  • Disclosed: 16.06.2026
  • Updated: 11.10.2026 14:18

Summary

The Docker API server let a request control where LLM calls were sent and which environment variable an LLM token resolved from. Both could be abused to exfiltrate server-held secrets. The Docker API is unauthenticated by default.

Vector 1 - attacker base_url

/md, /llm, and /llm/job accepted a base_url in the request and used it as the LLM endpoint while still attaching the server's configured provider API key. An attacker set base_url to a server they control and received the provider key (and any provider keys the server holds) in the inbound request.

Vector 2 - arbitrary environment variable read via env:

LLMConfig(api_token="env:NAME") resolved NAME from the server environment with os.getenv. Because request bodies were deserialized into LLMConfig (via a crawler config / extraction strategy), an attacker could set api_token="env:SECRET_KEY" (or env:REDIS_PASSWORD, etc.) and, paired with an attacker base_url, exfiltrate that secret. Reading the server's SECRET_KEY enables forging authentication tokens.

Impact

Disclosure of LLM provider API keys and other server secrets to an attacker-controlled endpoint; reading the JWT SECRET_KEY can lead to authentication bypass.

Fix

  • The LLM endpoints ignore a request-supplied base_url; the endpoint is always derived server-side from the provider name. The field is still accepted but no longer honored (no breaking 4xx).
  • LLMConfig refuses env: resolution of protected environment-variable names (names containing SECRET/PASSWORD/PRIVATE, prefixes CRAWL4AI*/AWS_SECRET*, and SECRET_KEY/REDIS_PASSWORD/TOKEN). Normal provider keys (e.g. OPENAI_API_KEY) are unaffected.

Workarounds

  • Upgrade to the patched version.
  • Enable authentication (CRAWL4AI_API_TOKEN).
  • Do not place sensitive secrets in the server environment alongside provider keys.

Credits

  • Geo (geo-chen) - reported the LLM credential exfiltration via request base_url.
  • Internal security audit (Crawl4AI maintainers) - the env: arbitrary-variable read.

Affected software

Click a technology to see all vulnerabilities affecting it.

PlatformPackageVulnerable versionsFixed in
Python (PyPI) crawl4ai < 0.8.8 0.8.8

References

CVSS score 8.2/10
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N
Weakness (CWE)
CWE-200, CWE-522, CWE-918
Platform
Python (PyPI)
Package
crawl4ai
Disclosed
16.06.2026
Updated
11.10.2026 14:18

Sources and licenses

OSV / GitHub Advisory Database - PYSEC-2026-3448 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-f989-c77f-r2cq - CC BY 4.0

Vulnerability history: crawl4ai

All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.

All (12) in the archive
Total entries
12
First → latest
04.2025 06.2026
Without a fix
1
Exploited in attacks
0

Severity breakdown

  • Critical 6
  • High 5
  • Medium 1

Disclosures per year

  1. 2025: 1
  2. 2026: 11
Severity:
  1. Crawl4AI: LLM credential exfiltration in Docker server via request base_url and env: token resolution this entry
    High · 8.2 CVE-2026-56259 < 0.8.8 0.8.8
  2. Critical · 8.6 CVE-2026-26217 < 0.8.0 0.8.0

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