Vulnerability in scikit-learn (CVE-2024-5206)

Summary

vulnerability in scikit-learn (CVE-2024-5206). Confidential information can be exposed externally. Exploitable via ``stop_words_``. Mitigation: upgrade to `70ca21f106b603b611da73012c9ade7cd8e438b8, 1.5.0` or later.

AI summary snake-internal / snake-material-v2

A vulnerability tracked as **CVE-2024-5206** has been found in scikit-learn. Attackers can target a specific entry point like ``stop_words_`` over the network to misuse the product. Confidential information can be exposed externally. CVSS score: ?/10. What to do: upgrade scikit-learn to **70ca21f106b603b611da73012c9ade7cd8e438b8, 1.5.0** or later. If unsure, ask your IT team or search "scikit-learn CVE-2024-5206" on the vendor's site.

CVE-2024-5206 (scikit-learn) — Attack vector: local / no user interaction Attack surface: `stop_words_` Patched: `70ca21f106b603b611da73012c9ade7cd8e438b8, 1.5.0` — 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** (unclassified) exists in scikit-learn. Attackers reach the vulnerable code path via ``stop_words_`` without authentication.

📍 Affected scope

scikit-learn — . Attack surface: `stop_words_`.

🔥 Severity

Severity: ?. Confidential information can be exposed externally

🔧 How to fix

Update to **70ca21f106b603b611da73012c9ade7cd8e438b8, 1.5.0**.

🛡️ 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 request patterns matching this CVE's known IOCs. Run `grep -r 'scikit-learn' .` 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 'scikit-learn' . | 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 `scikit-learn` 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 scikit-learn to 70ca21f106b603b611da73012c9ade7cd8e438b8, 1.5.0
```
ステージング環境で 70ca21f106b603b611da73012c9ade7cd8e438b8, 1.5.0 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。
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 scikit-learn

[{"repo":"https:\/\/github.com\/scikit-learn\/scikit-learn","type":"GIT","events":[{"introduced":"0"},{"fixed":"70ca21f106b603b611da73012c9ade7cd8e438b8"}]},{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.5.0"}]}]