Unsafe Deserialization in Crawl4AI (CVE-2026-109237)
Summary
Vulnerability in Crawl4AI (CVE-2026-109237). Confidential information can be exposed externally.
Original description
The description as published by the source.
Crawl4AI from 0.9.0 before 0.9.4 contains an untrusted-config gate bypass that allows non-admin API clients to construct forbidden config objects by wrapping them in dict-type wrappers. Attackers can send a laundered LLMConfig with api_token set to an env reference via /config/dump to read SECRET_KEY and provider keys, enabling admin JWT forgery.
Source: GitHub Security Advisories (Global) NVD GitHub Advisory
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2026-109237 has been found in Crawl4AI.
Confidential information can be exposed externally. CVSS score: 8.1/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "Crawl4AI CVE-2026-109237" on the vendor's site.
CVE-2026-109237 (Crawl4AI) — CWE-502 / CVSS v3 8.1
Attack vector: remote (network-reachable) / no user interaction
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
Unsafe deserialization (CWE-502) exists in Crawl4AI.
Check the vendor advisory for the affected versions of Crawl4AI.
Severity: High (CVSS 8.1/10). Confidential information can be exposed externally.
Update to the patched release per vendor advisory.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'Crawl4AI' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
-
1Identify exposure identify
grep -r 'Crawl4AI' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で
Crawl4AIを grep し、稼働しているサービス・バージョンを把握する。 -
2Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。
References
- web disclosure@vulncheck.com
- web nvd.nist.gov
- web disclosure@vulncheck.com
- web github.com