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CVE-2026-42313
high
CVSS 8.3
Vulnerability in pyload-ng (CVE-2026-42313)
Summary
vulnerability in pyload-ng (CVE-2026-42313). Confidential information can be exposed externally. Exploitable via ``ADMIN_ONLY_CORE_OPTIONS``. Mitigation: upgrade to `0.5.0b3.dev100` or later.
AI summary snake-internal / snake-material-v2
A vulnerability tracked as **CVE-2026-42313** has been found in pyload-ng.
Attackers can target a specific entry point like ``ADMIN_ONLY_CORE_OPTIONS`` over the network to misuse the product.
Confidential information can be exposed externally. CVSS score: 8.3/10.
What to do: upgrade pyload-ng to **0.5.0b3.dev100** or later.
If unsure, ask your IT team or search "pyload-ng CVE-2026-42313" on the vendor's site.
CVE-2026-42313 (pyload-ng) — CWE-441 / CVSS v3 8.3
Attack vector: remote (network-reachable) / no user interaction
Attack surface: `ADMIN_ONLY_CORE_OPTIONS` / `SETTINGS` / `proxy.username` / `proxy.password`
Patched: `0.5.0b3.dev100` — 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-441) exists in pyload-ng. Attackers reach the vulnerable code path via ``ADMIN_ONLY_CORE_OPTIONS`` without authentication.
📍 Affected scope
pyload-ng — . Attack surface: `ADMIN_ONLY_CORE_OPTIONS` / `SETTINGS` / `proxy.username` / `proxy.password`.
🔥 Severity
Severity: High (CVSS 8.3/10). Confidential information can be exposed externally
🔧 How to fix
Update to **0.5.0b3.dev100**.
🛡️ 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 'pyload-ng' .` 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
-
1Identify exposure identify
grep -r 'pyload-ng' . | 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 `pyload-ng` を grep し、稼働しているサービス・バージョンを把握する。
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6Apply patch patch
Upgrade pyload-ng to 0.5.0b3.dev100ステージング環境で 0.5.0b3.dev100 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。
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7Post-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
pyload-ng
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.5.0b3.dev100"}]}]
PyPI
pyload-ng
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.5.0b3.dev100"}]}]
References
- advisory https://github.com/advisories/GHSA-4744-96p5-mp2j
- advisory https://github.com/advisories/GHSA-ppvx-rwh9-7rj7
- advisory https://github.com/advisories/GHSA-r7mc-x6x7-cqxx
- advisory https://github.com/advisories/GHSA-w48f-wwwf-f5fr
- advisory https://nvd.nist.gov/vuln/detail/CVE-2026-42313
- package https://github.com/pyload/pyload
- web https://github.com/pyload/pyload/security/advisories/GHSA-pg67-9wjv-mr85
- web https://github.com/advisories/GHSA-pg67-9wjv-mr85