Vulnerability in InvokeAI (CVE-2026-65012)
Summary
Vulnerability in InvokeAI (CVE-2026-65012). Risk of unauthorized operations or information disclosure. Exploitable via GET /api/v2/models/scan_folder.
Original description
The description as published by the source.
InvokeAI before 6.13.7 contains an unauthenticated directory enumeration vulnerability in the GET /api/v2/models/scan_folder endpoint that accepts attacker-controlled scan_path parameters. Unauthenticated attackers can recursively enumerate arbitrary server filesystem directories and use HTTP response codes to determine file existence and readability, bypassing multi-user mode access controls.
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-2026-65012 has been found in InvokeAI.
Attackers can target a specific entry point like GET /api/v2/models/scan_folder over the network to misuse the product.
Risk of unauthorized operations or information disclosure. CVSS score: 5.3/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "InvokeAI CVE-2026-65012" on the vendor's site.
CVE-2026-65012 (InvokeAI) — CWE-306 / CVSS v3 5.3
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Attack surface: GET /api/v2/models/scan_folder
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-306) exists in InvokeAI. Attackers reach the vulnerable code path via GET /api/v2/models/scan_folder without authentication.
Check the vendor advisory for the affected versions of InvokeAI. Attack surface: GET /api/v2/models/scan_folder.
Severity: Medium (CVSS 5.3/10). 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 GET /api/v2/models/scan_folder requests with malformed payloads or SQL meta-characters. Run grep -r 'InvokeAI' . 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 'InvokeAI' . | 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
InvokeAIを grep し、稼働しているサービス・バージョンを把握する。 -
2Hunt for indicators of compromise detect
grep 'GET /api/v2/models/scan_folder' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'アクセスログで
GET /api/v2/models/scan_folderへの異常なリクエスト (不正な認証ヘッダ・SQLメタ文字)を過去 30〜90日分捜索。WAF/SIEM があれば該当パスのアラート発火履歴を確認。 -
3Post-deployment verification verify
Replay attack against GET /api/v2/models/scan_folder on staging to confirm patch closes the vector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 2 と同じログクエリでアラート再発が無いか継続監視。
References
- advisory nvd.nist.gov
- advisory vulncheck.com
- advisory github.com
- package github.com
- patch github.com
- patch github.com
- patch github.com
- report github.com
- web github.com