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CVE-2026-71433 medium CVSS 5.3

Information Disclosure in langgraph-checkpoint-postgres (CVE-2026-71433)

Summary

vulnerability in langgraph-checkpoint-postgres (CVE-2026-71433). Confidential information can be exposed externally. Exploitable via ``memories.alice``. Mitigation: upgrade to `3.1.1` or later.

AI summary snake-internal / snake-material-v2

A vulnerability tracked as **CVE-2026-71433** has been found in langgraph-checkpoint-postgres. Attackers can target a specific entry point like ``memories.alice`` over the network to misuse the product. Confidential information can be exposed externally. CVSS score: 5.3/10. What to do: upgrade langgraph-checkpoint-postgres to **3.1.1** or later. If unsure, ask your IT team or search "langgraph-checkpoint-postgres CVE-2026-71433" on the vendor's site.
CVE-2026-71433 (langgraph-checkpoint-postgres) — CWE-200 / CVSS v3 5.3 Attack vector: remote (network-reachable) / no user interaction Attack surface: `memories.alice` / `LIKE` / `search` / `list_namespaces` Patched: `3.1.1` — 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
**information disclosure** (CWE-200) exists in langgraph-checkpoint-postgres. Attackers reach the vulnerable code path via ``memories.alice`` without authentication.
📍 Affected scope
langgraph-checkpoint-postgres — . Attack surface: `memories.alice` / `LIKE` / `search` / `list_namespaces`.
🔥 Severity
Severity: Medium (CVSS 5.3/10). Confidential information can be exposed externally
🔧 How to fix
Update to **3.1.1**.
🛡️ 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 'langgraph-checkpoint-postgres' .` 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. 1
    Identify exposure identify 
    grep -r 'langgraph-checkpoint-postgres' . | 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 `langgraph-checkpoint-postgres` を grep し、稼働しているサービス・バージョンを把握する。

  2. 6
    Apply patch patch 
    Upgrade langgraph-checkpoint-postgres to 3.1.1

    ステージング環境で 3.1.1 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。

  3. 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

pip langgraph-checkpoint-postgres
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"3.1.1"}]}]
pip langgraph-checkpoint-sqlite
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"3.1.1"}]}]

References

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