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GHSA-4xgf-cpjx-pc3j

Path Traversal in pydantic-settings (GHSA-4xgf-cpjx-pc3j)

Summary

path traversal in pydantic-settings (GHSA-4xgf-cpjx-pc3j). Risk of unauthorized operations or information disclosure. Exploitable via ``NestedSecretsSettingsSource``. Mitigation: upgrade to `2.14.2` or later.

AI summary snake-internal / snake-material-v2

A vulnerability tracked as **GHSA-4xgf-cpjx-pc3j** has been found in pydantic-settings. Attackers can target a specific entry point like ``NestedSecretsSettingsSource`` over the network to misuse the product. Risk of unauthorized operations or information disclosure. CVSS score: ?/10. What to do: upgrade pydantic-settings to **2.14.2** or later. If unsure, ask your IT team or search "pydantic-settings GHSA-4xgf-cpjx-pc3j" on the vendor's site.
GHSA-4xgf-cpjx-pc3j (pydantic-settings) — CWE-22 / Attack surface: `NestedSecretsSettingsSource` / `secrets_dir` / `secrets_dir_max_size` / `SettingsError` Patched: `2.14.2` — apply immediately Workaround: ensure the configured `secrets_dir` is fully owned and controlled by the application (no writable or attacker-influenced entries), or avoid `secrets_nested_subdir=True`. 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
**Path traversal** (CWE-22) exists in pydantic-settings. Attackers reach the vulnerable code path via ``NestedSecretsSettingsSource`` without authentication.
📍 Affected scope
pydantic-settings — . Attack surface: `NestedSecretsSettingsSource` / `secrets_dir` / `secrets_dir_max_size` / `SettingsError`.
🔥 Severity
Severity: ?. Risk of unauthorized operations or information disclosure
🔧 How to fix
Update to **2.14.2**.
🛡️ Workaround
Workaround: ensure the configured `secrets_dir` is fully owned and controlled by the application (no writable or attacker-influenced entries), or avoid `secrets_nested_subdir=True`.
🔍 Detection
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run `grep -r 'pydantic-settings' .` 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 'pydantic-settings' . | 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 `pydantic-settings` を grep し、稼働しているサービス・バージョンを把握する。

  2. 5
    Apply temporary workaround mitigate
    ensure the configured `secrets_dir` is fully owned and controlled by the application (no writable or attacker-influenced entries), or avoid `secrets_nested_subdir=True`.

    パッチが適用されるまでの応急処置として、ensure the configured `secrets_dir` is fully owned and controlled by the application (no writable or attacker-influenced entries), or avoid `secrets_nested_subdir=True`. を実施。回避策の副作用 (機能低下) を確認した上で。

  3. 6
    Apply patch patch
    Upgrade pydantic-settings to 2.14.2

    ステージング環境で 2.14.2 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
    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 pydantic-settings
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.14.2"}]}]

References

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