Vulnerability in automad (CVE-2026-19965)
Summary
Vulnerability in automad (CVE-2026-19965). Risk of unauthorized operations or information disclosure.
Original description
The description as published by the source.
A vulnerability was determined in automad up to 2.0.0-beta.32. This vulnerability affects the function requestPasswordResetToken of the file automad/src/server/Controllers/API/UserController.php of the component Password Reset Endpoint. This manipulation of the argument name-or-email causes observable response discrepancy. The attack can be initiated remotely. The attack's complexity is rated as high. It is stated that the exploitability is difficult. The exploit has been publicly disclosed and may be utilized. Upgrading to version 2.0.0-beta.33 is able to resolve this issue. Patch name: eac0b05dafdb0ddf8b9139dad8929aaba86568ca. You should upgrade the affected component.
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-2026-19965 has been found in automad.
Risk of unauthorized operations or information disclosure. CVSS score: 3.7/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "automad CVE-2026-19965" on the vendor's site.
CVE-2026-19965 (automad) — CWE-203 / CVSS v3 3.7
Attack vector: remote (network-reachable) / unauthenticated / 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.
A vulnerability (CWE-203) exists in automad.
Check the vendor advisory for the affected versions of automad.
Severity: Low (CVSS 3.7/10). 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 'automad' . 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 'automad' . | 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
automad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 nvd.nist.gov
- web cna@vuldb.com
- web cna@vuldb.com
- web cna@vuldb.com
- web cna@vuldb.com
- web vuldb.com
- web cna@vuldb.com
- web cna@vuldb.com
- web github.com