Vulnerability in AutoGPT (CVE-2025-32394)
Summary
Vulnerability in AutoGPT (CVE-2025-32394). Risk of unauthorized operations or information disclosure. Mitigation: upgrade to 0.6.32 or later.
Original description
The description as published by the source.
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.32, there is a DoS vulnerability in AITextSummarizerBlock. Malicious users can amplify their input. For example, if a malicious user inputs 10K of content, the server will consume 50G of memory, eventually causing memory resources to be exhausted, resulting in DoS. This vulnerability is fixed in 0.6.32.
Source: NIST National Vulnerability Database NVD
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-2025-32394 has been found in AutoGPT.
Risk of unauthorized operations or information disclosure.
What to do: upgrade AutoGPT to 0.6.32 or later.
If unsure, ask your IT team or search "AutoGPT CVE-2025-32394" on the vendor's site.
CVE-2025-32394 (AutoGPT) — CWE-405
Patched: 0.6.32 — apply immediately
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-405) exists in AutoGPT.
Check the vendor advisory for the affected versions of AutoGPT.
Severity: ?. Risk of unauthorized operations or information disclosure.
Update to 0.6.32.
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 'AutoGPT' . 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
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1Identify exposure identify
grep -r 'AutoGPT' . | 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
AutoGPTを grep し、稼働しているサービス・バージョンを把握する。 -
2Apply patch patch
Upgrade AutoGPT to 0.6.32ステージング環境で 0.6.32 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。
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3Post-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。