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CVE-2024-27444
Vulnerability in langchain-experimental (CVE-2024-27444)
Summary
vulnerability in langchain-experimental (CVE-2024-27444). Successful exploitation can lead to full system takeover. Exploitable via ``__import__``. Mitigation: upgrade to `0.0.52` or later.
AI summary snake-internal / snake-material-v2
A vulnerability tracked as **CVE-2024-27444** has been found in langchain-experimental.
Attackers can target a specific entry point like ``__import__`` over the network to misuse the product.
Successful exploitation can lead to full system takeover. CVSS score: ?/10.
What to do: upgrade langchain-experimental to **0.0.52** or later.
If unsure, ask your IT team or search "langchain-experimental CVE-2024-27444" on the vendor's site.
CVE-2024-27444 (langchain-experimental) — CWE-749 /
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Attack surface: `__import__` / `__subclasses__` / `__builtins__` / `__globals__`
Patched: `0.0.52` — 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.
❓ What is the problem
**A vulnerability** (CWE-749) exists in langchain-experimental. Attackers reach the vulnerable code path via ``__import__`` without authentication.
📍 Affected scope
langchain-experimental — . Attack surface: `__import__` / `__subclasses__` / `__builtins__` / `__globals__`.
🔥 Severity
Severity: ?. Successful exploitation can lead to full system takeover
🔧 How to fix
Update to **0.0.52**.
🛡️ Workaround
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
🔍 Detection
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run `grep -r 'langchain-experimental' .` against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response Actions (7 steps)
Concrete steps and command examples for SOC/SRE teams to execute in order
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1Identify exposure identify
grep -r 'langchain-experimental' . | 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 `langchain-experimental` を grep し、稼働しているサービス・バージョンを把握する。
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6Apply patch patch
Upgrade langchain-experimental to 0.0.52ステージング環境で 0.0.52 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 3 で見つけた異常検知の続報チェックを含めること。
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7Post-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 Step 3 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
PyPI
langchain-experimental
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.0.52"}]}]
References
- advisory https://nvd.nist.gov/vuln/detail/CVE-2024-27444
- advisory https://github.com/advisories/GHSA-v8vj-cv27-hjv8
- package https://github.com/langchain-ai/langchain
- package https://pypi.org/project/langchain-experimental
- web https://github.com/langchain-ai/langchain/commit/de9a6cdf163ed00adaf2e559203ed0a9ca2f1de7