Vulnerability in langchain-experimental (CVE-2023-44467)

Summary

vulnerability in langchain-experimental (CVE-2023-44467). Successful exploitation can lead to full system takeover. Mitigation: upgrade to `4c97a10bd0d9385cfee234a63b5bd826a295e483, 0.0.15` or later.

AI summary snake-internal / snake-material-v2

A vulnerability tracked as **CVE-2023-44467** has been found in langchain-experimental. Successful exploitation can lead to full system takeover. CVSS score: ?/10. What to do: upgrade langchain-experimental to **4c97a10bd0d9385cfee234a63b5bd826a295e483, 0.0.15** or later. If unsure, ask your IT team or search "langchain-experimental CVE-2023-44467" on the vendor's site.

CVE-2023-44467 (langchain-experimental) — Attack vector: remote (network-reachable) / unauthenticated / no user interaction Patched: `4c97a10bd0d9385cfee234a63b5bd826a295e483, 0.0.15` — 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** (unclassified) exists in langchain-experimental.

📍 Affected scope

langchain-experimental — .

🔥 Severity

Severity: ?. Successful exploitation can lead to full system takeover

🔧 How to fix

Update to **4c97a10bd0d9385cfee234a63b5bd826a295e483, 0.0.15**.

🛡️ 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

1
Identify 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。
6
Apply patch patch
```
Upgrade langchain-experimental to 4c97a10bd0d9385cfee234a63b5bd826a295e483, 0.0.15
```
ステージング環境で 4c97a10bd0d9385cfee234a63b5bd826a295e483, 0.0.15 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。
7
Post-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

[{"repo":"https:\/\/github.com\/langchain-ai\/langchain","type":"GIT","events":[{"introduced":"0"},{"fixed":"4c97a10bd0d9385cfee234a63b5bd826a295e483"}]},{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.0.15"}]}]