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CVE-2024-35225

Vulnerability in jupyter-server-proxy (CVE-2024-35225)

Summary

vulnerability in jupyter-server-proxy (CVE-2024-35225). Risk of unauthorized operations or information disclosure. Exploitable via `GET /proxy/`. Mitigation: upgrade to `7abc9dc5bbb0b4b440548a5375261b8b8192fc22, ff78128087e73fb9d0909e1366f8bf051e8ea878, 3.2.4, 4.2.0` or later.

AI summary snake-internal / snake-material-v2

A vulnerability tracked as **CVE-2024-35225** has been found in jupyter-server-proxy. Attackers can target a specific entry point like `GET /proxy/` over the network to misuse the product. Risk of unauthorized operations or information disclosure. CVSS score: ?/10. What to do: upgrade jupyter-server-proxy to **7abc9dc5bbb0b4b440548a5375261b8b8192fc22, ff78128087e73fb9d0909e1366f8bf051e8ea878, 3.2.4, 4.2.0** or later. If unsure, ask your IT team or search "jupyter-server-proxy CVE-2024-35225" on the vendor's site.
CVE-2024-35225 (jupyter-server-proxy) — CWE-116 / Attack vector: remote (network-reachable) / unauthenticated Attack surface: GET /proxy/ / `host` Patched: `7abc9dc5bbb0b4b440548a5375261b8b8192fc22, ff78128087e73fb9d0909e1366f8bf051e8ea878, 3.2.4, 4.2.0` — 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.
❓ What is the problem
**A vulnerability** (CWE-116) exists in jupyter-server-proxy. Attackers reach the vulnerable code path via `GET /proxy/` without authentication.
📍 Affected scope
jupyter-server-proxy — . Attack surface: GET /proxy/ / `host`.
🔥 Severity
Severity: ?. Risk of unauthorized operations or information disclosure
🔧 How to fix
Update to **7abc9dc5bbb0b4b440548a5375261b8b8192fc22, ff78128087e73fb9d0909e1366f8bf051e8ea878, 3.2.4, 4.2.0**.
🛡️ 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 `GET /proxy/` requests with malformed payloads or SQL meta-characters. Run `grep -r 'jupyter-server-proxy' .` 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 'jupyter-server-proxy' . | 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 `jupyter-server-proxy` を grep し、稼働しているサービス・バージョンを把握する。

  2. 3
    Hunt for indicators of compromise detect
    grep 'GET /proxy/' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'

    アクセスログで `GET /proxy/` 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。

  3. 6
    Apply patch patch
    Upgrade jupyter-server-proxy to 7abc9dc5bbb0b4b440548a5375261b8b8192fc22, ff78128087e73fb9d0909e1366f8bf051e8ea878, 3.2.4, 4.2.0

    ステージング環境で 7abc9dc5bbb0b4b440548a5375261b8b8192fc22, ff78128087e73fb9d0909e1366f8bf051e8ea878, 3.2.4, 4.2.0 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 3 で見つけた異常検知の続報チェックを含めること。

  4. 7
    Post-deployment verification verify
    Replay attack against GET /proxy/ 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 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 jupyter-server-proxy
[{"repo":"https:\/\/github.com\/jupyterhub\/jupyter-server-proxy","type":"GIT","events":[{"introduced":"0"},{"fixed":"7abc9dc5bbb0b4b440548a5375261b8b8192fc22"},{"fixed":"ff78128087e73fb9d0909e1366f8bf051e8ea878"}]},{"type":"ECOSYSTEM","events":[{"introduced":"3.0.0"},{"fixed":"3.2.4"},{"introduced":"4.1.2"},{"fixed":"4.2.0"}]}]

References

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