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CVE-2026-76843
high
CVSS 7.8
Unsafe Deserialization in CVE-2026-76843 (CVE-2026-76843)
Summary
vulnerability in CVE-2026-76843 (CVE-2026-76843). Successful exploitation can lead to full system takeover.
AI summary snake-internal / snake-material-v2
A vulnerability tracked as **CVE-2026-76843** has been found in CVE-2026-76843.
Successful exploitation can lead to full system takeover. CVSS score: 7.8/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "CVE-2026-76843 CVE-2026-76843" on the vendor's site.
CVE-2026-76843 (CVE-2026-76843) — CWE-502 / CVSS v3 7.8
Attack vector: local / unauthenticated
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
**unsafe deserialization** (CWE-502) exists in CVE-2026-76843.
📍 Affected scope
CVE-2026-76843 — .
🔥 Severity
Severity: High (CVSS 7.8/10). Successful exploitation can lead to full system takeover
🔧 How to fix
Update to the patched release per vendor advisory.
🛡️ 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. Audit SBOM/dependencies to find affected services.
Response Actions (7 steps)
Concrete steps and command examples for SOC/SRE teams to execute in order
-
1Identify exposure identify
Audit SBOM/dependencies for affected components.依存マニフェストで影響コンポーネントを特定する。
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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。
References
- web https://nvd.nist.gov/vuln/detail/CVE-2026-76843
- web https://github.com/flairNLP/flair
- web https://github.com/flairNLP/flair/blob/v0.15.1/flair/models/clustering.py
- web https://pypi.org/project/flair/0.15.1
- web https://www.vulncheck.com/advisories/flair-and-deserialization-of-untrusted-data-via-clusteringmodel-load
- web https://github.com/advisories/GHSA-58g9-h5rx-pf95
- web [email protected]
- web https://github.com/flairNLP/flair/blob/v0.14.0/flair/models/clustering.py