Security readout for executives and security teams
Plain-English summary
AutoGPT versions before 0.6.63 can be abused to fill server disk space and disrupt service. A workflow can repeatedly download many files through built-in blocks until storage is exhausted. The issue is a denial-of-service risk, not a data theft or code execution issue based on the provided sources.
Executive priority
Prioritize remediation for internet-accessible or multi-user AutoGPT deployments. The business risk is service outage from disk exhaustion. Upgrade planning should be near-term, especially where users outside the core admin team can run workflows.
Technical view
CVE-2025-32422 is a CWE-400 resource consumption flaw in AutoGPT. StepThroughItemsBlock can loop through many items without a loop limit and feed downloads to FileStoreBlock. FileStoreBlock has download time limits but no working-directory disk consumption limit. This can exhaust disk space and cause denial of service. Fixed in 0.6.63.
Likely exposure
Organizations running AutoGPT before 0.6.63 are potentially exposed, especially where untrusted users can create or run workflows using StepThroughItemsBlock and FileStoreBlock. Exposure depends on deployment access controls and available disk capacity.
Exploitation context
The CVSS vector indicates network access, low complexity, no privileges, and no user interaction. The provided sources do not state active exploitation, and the CVE is not listed as KEV in the supplied bundle.
Researcher notes
The advisory attributes the flaw to missing loop limits in StepThroughItemsBlock and missing disk consumption limits in FileStoreBlock. Impact is availability only in the provided CVSS data. No public exploit details or active exploitation evidence are included in the supplied sources.
Mitigation direction
- Upgrade AutoGPT to version 0.6.63 or later.
- Restrict who can create or run AutoGPT workflows.
- Review workflows using StepThroughItemsBlock and FileStoreBlock together.
- Monitor disk usage on AutoGPT hosts.
- Check the GitHub advisory for any updated vendor guidance.
Validation and detection
- Inventory AutoGPT deployments and confirm running versions.
- Identify any instances below version 0.6.63.
- Review access controls for workflow creation and execution.
- Check logs and storage metrics for abnormal download-driven disk growth.
- Confirm disk monitoring and alerting exist for AutoGPT working directories.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
CWE-400: Exact CWE lookup
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Open ATT&CK lookupCVE-2025-32422 mapping review
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Open ATT&CK lookup- Severity
- High
- CVSS
- 8.7 (4.0)
- Known Exploited
- No
- Published
Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
CNA and ADP enrichment extracted from CVE v5
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
SSVC decision data
CVSS vector scores
1 official scoreWe collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N——GitHub_MVulnerability scoring details
Base CVSS 4.0 score
8.7HighVector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
Vulnerability timeline
Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.
- CVE reservedCVE Program
The CVE ID was reserved by the assigning CNA.
- CVE publishedCVE Program
The CVE record was published.
- CVE updatedCVE Program
The CVE record metadata indicates this as the latest update time.
ADP provider summaries
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/Significant-Gravitas/AutoGPT/security/advisories/GHSA-9fr4-9jj9-mhh6CVE reference, GitHub_M · x_refsource_CONFIRM
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Uncontrolled Resource Consumption
Uncontrolled Resource Consumption represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.