Vulnerability in Network-AI (CVE-2026-109330)
Summary
Vulnerability in Network-AI (CVE-2026-109330). Risk of unauthorized operations or information disclosure.
Original description
The description as published by the source.
Network-AI 5.0.0 before 5.15.2 contains a cross-site WebSocket hijacking vulnerability in DashboardServer that allows remote attackers to read live agent topology because handleUpgrade performs no Origin or token validation. Attackers can lure a victim running the dashboard to a malicious page that opens a WebSocket to the loopback dashboard and exfiltrates agent IDs, roles, task descriptions, and token budgets.
Source: NIST National Vulnerability Database NVD GitHub Advisory
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2026-109330 has been found in Network-AI.
Risk of unauthorized operations or information disclosure. CVSS score: 4.3/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "Network-AI CVE-2026-109330" on the vendor's site.
CVE-2026-109330 (Network-AI) — CWE-1385 / CVSS v3 4.3
Attack vector: remote (network-reachable) / 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.
A vulnerability (CWE-1385) exists in Network-AI.
Check the vendor advisory for the affected versions of Network-AI.
Severity: Medium (CVSS 4.3/10). Risk of unauthorized operations or information disclosure.
Update to the patched release per vendor advisory.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'Network-AI' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
-
1Identify exposure identify
grep -r 'Network-AI' . | 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
Network-AIを grep し、稼働しているサービス・バージョンを把握する。 -
2Post-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。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。
References
- web github.com
- web disclosure@vulncheck.com
- web nvd.nist.gov
- web github.com