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CVE-2026-43979

Cross-Site Scripting (XSS) in local-deep-research (CVE-2026-43979)

Summary

cross-site scripting in local-deep-research (CVE-2026-43979). Risk of unauthorized operations or information disclosure. Exploitable via `POST /api/start_research`. Mitigation: upgrade to `1.6.0` or later.

AI summary snake-internal / snake-material-v2

A vulnerability tracked as **CVE-2026-43979** has been found in local-deep-research. Attackers can target a specific entry point like `POST /api/start_research` over the network to misuse the product. Risk of unauthorized operations or information disclosure. CVSS score: ?/10. What to do: upgrade local-deep-research to **1.6.0** or later. If unsure, ask your IT team or search "local-deep-research CVE-2026-43979" on the vendor's site.
CVE-2026-43979 (local-deep-research) — CWE-79 / Attack vector: remote (network-reachable) / no user interaction Attack surface: POST /api/start_research / POST /api/v1/research/ / POST /api/v1/research/aaaa-bbbb-cccc-dddd/export/pdf / GET /latest/meta-data/iam/security-credentials/ Patched: `1.6.0` — 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
**Cross-site scripting (XSS)** (CWE-79) exists in local-deep-research. Attackers reach the vulnerable code path via `POST /api/start_research` without authentication.
📍 Affected scope
local-deep-research — . Attack surface: POST /api/start_research / POST /api/v1/research/ / POST /api/v1/research/aaaa-bbbb-cccc-dddd/export/pdf / GET /latest/meta-data/iam/security-credentials/.
🔥 Severity
Severity: ?. Risk of unauthorized operations or information disclosure
🔧 How to fix
Update to **1.6.0**.
🛡️ 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 `POST /api/start_research` requests with malformed payloads or SQL meta-characters. Run `grep -r 'local-deep-research' .` 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 'local-deep-research' . | 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 `local-deep-research` 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 'POST /api/start_research' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'

    アクセスログで `POST /api/start_research` 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 local-deep-research to 1.6.0

    ステージング環境で 1.6.0 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 POST /api/start_research 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

pip local-deep-research
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.6.0"}]}]
PyPI local-deep-research
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.6.0"}]}]

References

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