Path Traversal in crawl4ai (CVE-2026-26217)
Summary
Path traversal in crawl4ai (CVE-2026-26217). Confidential information can be exposed externally. Exploitable via POST /execute_js. Mitigation: upgrade to 0.8.0 or later.
Original description
The description as published by the source.
A local file inclusion vulnerability exists in the Crawl4AI Docker API. The /execute_js, /screenshot, /pdf, and /html endpoints accept file:// URLs, allowing attackers to read arbitrary files from the server filesystem.
Attack Vector:
POST /execute_js
{
"url": "file:///etc/passwd",
"scripts": ["document.body.innerText"]
}
Impact
An unauthenticated attacker can:
- Read sensitive files (/etc/passwd, /etc/shadow, application configs)
- Access environment variables via /proc/self/environ
- Discover internal application structure
- Potentially read credentials and API keys
Workarounds
- Disable the Docker API
- Add authentication to the API
- Use network-level filtering
Source: OSV.dev (Open Source Vulnerabilities) NVD GitHub Advisory OSV
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-2026-26217 has been found in crawl4ai.
Attackers can target a specific entry point like POST /execute_js over the network to misuse the product.
Confidential information can be exposed externally. CVSS score: 8.6/10.
What to do: upgrade crawl4ai to 0.8.0 or later.
If unsure, ask your IT team or search "crawl4ai CVE-2026-26217" on the vendor's site.
CVE-2026-26217 (crawl4ai) — CWE-22 / CVSS v3 8.6
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Attack surface: POST /execute_js
Patched: 0.8.0 — apply immediately
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.
Path traversal (CWE-22) exists in crawl4ai. Attackers reach the vulnerable code path via POST /execute_js without authentication.
Check the vendor advisory for the affected versions of crawl4ai. Attack surface: POST /execute_js.
Severity: High (CVSS 8.6/10). Confidential information can be exposed externally.
Update to 0.8.0.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual POST /execute_js requests with malformed payloads or SQL meta-characters. 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。 -
2Hunt for indicators of compromise detect
grep 'POST /execute_js' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'アクセスログで
POST /execute_jsへの異常なリクエスト (不正な認証ヘッダ・SQLメタ文字)を過去 30〜90日分捜索。WAF/SIEM があれば該当パスのアラート発火履歴を確認。 -
3Apply patch patch
Upgrade crawl4ai to 0.8.0ステージング環境で 0.8.0 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスと、Step 2 で見つけた異常検知の続報チェックを含めること。
-
4Post-deployment verification verify
Replay attack against POST /execute_js on staging to confirm patch closes the vector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 Step 2 と同じログクエリでアラート再発が無いか継続監視。
Affected packages
References
- advisory disclosure@vulncheck.com
- advisory nvd.nist.gov
- package github.com
- patch disclosure@vulncheck.com
- web disclosure@vulncheck.com
- web github.com
- web github.com
- web github.com
- web github.com