Path Traversal in Jevon-Zhong Ai-doctor (CVE-2026-19326)
Summary
Path traversal in Jevon-Zhong Ai-doctor (CVE-2026-19326). Risk of unauthorized operations or information disclosure.
Original description
The description as published by the source.
A vulnerability was detected in Jevon-Zhong Ai-doctor 0.0.1. This vulnerability affects the function deleteImage of the file ai-doctor-server/src/filemanagement/filemanagement.service.ts. Performing a manipulation of the argument imagePath results in path traversal. The attack must be initiated from a local position. The project was informed of the problem early through an issue report but has not responded yet.
Source: GitHub Security Advisories (Global) 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-2026-19326 has been found in Jevon-Zhong Ai-doctor.
Risk of unauthorized operations or information disclosure. CVSS score: 4.4/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "Jevon-Zhong Ai-doctor CVE-2026-19326" on the vendor's site.
CVE-2026-19326 (Jevon-Zhong Ai-doctor) — CWE-22 / CVSS v3 4.4
Attack vector: local / no user interaction
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.
Path traversal (CWE-22) exists in Jevon-Zhong Ai-doctor.
Check the vendor advisory for the affected versions of Jevon-Zhong Ai-doctor.
Severity: Medium (CVSS 4.4/10). 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. Audit SBOM/dependencies to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
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1Identify exposure identify
Audit SBOM/dependencies for affected components.資産台帳・SBOM・依存マニフェストで Jevon-Zhong Ai-doctor を使っているサービスとバージョンを洗い出す。
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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 nvd.nist.gov
- web github.com
- web github.com
- web cna@vuldb.com
- web cna@vuldb.com
- web cna@vuldb.com
- web cna@vuldb.com
- web github.com
- web cna@vuldb.com