Security readout for executives and security teams
Plain-English summary
CVE-2025-32437 is a denial-of-service flaw in AutoGPT before 0.6.63. A malicious unauthenticated user can trigger repeated media duration processing that stores downloaded videos without adequate cleanup or disk limits. Over time, this can fill disk space and disrupt service availability.
Executive priority
Prioritize remediation for internet-facing or multi-user AutoGPT deployments. The main business risk is service outage from disk exhaustion, not data theft, based on the provided sources.
Technical view
AutoGPT’s MediaDurationBlock downloads video into a temporary directory and, before 0.6.63, does not delete it after output. StepThroughItemsBlock can repeatedly invoke it without loop limits. The issue is classified as CWE-400 resource consumption, with CVSS 4.0 score 8.7 and high availability impact.
Likely exposure
Systems running Significant-Gravitas AutoGPT versions earlier than 0.6.63 are affected. Exposure is higher where untrusted users can create or run workflows using MediaDurationBlock and StepThroughItemsBlock.
Exploitation context
The source describes network-accessible, low-complexity exploitation with no privileges or user interaction required. It does not cite active exploitation, and the CVE is not marked as CISA KEV in the provided data.
Researcher notes
Evidence is limited to the CVE record and GitHub advisory. The described root cause is missing resource limits and cleanup in workflow blocks. No exploit code, public exploitation, or additional affected products are identified in the provided sources.
Mitigation direction
- Upgrade AutoGPT to version 0.6.63 or later.
- Review vendor advisory GHSA-rg6v-m9x9-7wf9 for current guidance.
- Restrict untrusted workflow creation or execution until upgraded.
- Monitor disk usage on AutoGPT hosts for abnormal growth.
Validation and detection
- Inventory AutoGPT deployments and confirm installed versions.
- Identify workflows using MediaDurationBlock and StepThroughItemsBlock.
- Check whether untrusted users can submit or run workflows.
- Review host disk usage trends and temporary storage growth.
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-2025-32437 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-rg6v-m9x9-7wf9CVE 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.