Security readout for executives and security teams
Plain-English summary
AutoGPT versions before 0.6.63 can be driven to fill local disk space through repeated webpage screenshot captures. If disk fills, the AutoGPT service or host may stop functioning. This is a denial-of-service issue, not a data theft or code execution vulnerability based on the provided sources.
Executive priority
Prioritize remediation for exposed or shared AutoGPT environments because an unauthenticated attacker may be able to disrupt service availability. Upgrade is available, so this should be handled in the next urgent patch cycle for affected deployments.
Technical view
CVE-2025-32424 affects Significant-Gravitas AutoGPT before 0.6.63. ScreenshotWebPageBlock stores screenshots in a temporary directory without limiting disk consumption, and StepThroughItemsBlock lacks a loop limit. A malicious unauthenticated network user can cause high availability impact by triggering many screenshot captures. CWE-400 applies.
Likely exposure
Exposure is most likely where AutoGPT instances before 0.6.63 allow untrusted users or externally reachable workflows to run screenshot and iteration blocks. Internal-only deployments with trusted workflow authors have lower practical exposure, but still depend on local access controls and workflow governance.
Exploitation context
The CVSS vector indicates network access, low complexity, no privileges, and no user interaction. The provided sources do not report active exploitation, and CISA KEV status is false. The described impact is disk exhaustion causing denial of service.
Researcher notes
Evidence comes from the CVE record and GitHub advisory. The root cause is uncontrolled resource consumption through screenshot storage plus unbounded iteration. Sources do not provide exploit code, observed exploitation, or additional affected products beyond AutoGPT before 0.6.63.
Mitigation direction
- Upgrade AutoGPT to version 0.6.63 or later.
- Review the GitHub advisory for any updated vendor guidance.
- Restrict untrusted users from creating or running AutoGPT workflows.
- Monitor AutoGPT hosts for abnormal disk growth and service degradation.
Validation and detection
- Inventory AutoGPT deployments and identify versions below 0.6.63.
- Review workflows using ScreenshotWebPageBlock and StepThroughItemsBlock.
- Check whether AutoGPT workflow execution is exposed to untrusted users.
- Confirm hosts have disk monitoring and alerting in place.
- Verify remediation by confirming AutoGPT reports version 0.6.63 or later.
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
Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
Open ATT&CK lookupCVE-2025-32424 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
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-7g34-7fvq-xxq6CVE 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.