CVE-2025-32394: AutoGPT: There is a DoS vulnerability in AITextSummarizerBlock
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.
Security readout for executives and security teams
Plain-English summary
CVE-2025-32394 is a denial-of-service issue in AutoGPT before version 0.6.32. A malicious authenticated user can submit input that causes the AITextSummarizerBlock to consume excessive memory, potentially exhausting server resources and disrupting service.
Executive priority
Treat this as a moderate operational risk. Prioritize patching internet-accessible or multi-user AutoGPT deployments because the likely business impact is service disruption, not data theft.
Technical view
AutoGPT AITextSummarizerBlock before 0.6.32 improperly controls resource consumption. The advisory describes input amplification where relatively small user content can trigger very large memory use. CVSS 4.0 is 5.3, with network access, low attack complexity, low privileges, no user interaction, and low availability impact.
Likely exposure
Organizations running Significant-Gravitas AutoGPT versions earlier than 0.6.32 are potentially exposed, especially where untrusted or semi-trusted users can access workflows using AITextSummarizerBlock.
Exploitation context
The source bundle does not report active exploitation, and the CVE is not listed as KEV. Exploitation requires low privileges and targets availability rather than confidentiality or integrity.
Researcher notes
The public details identify CWE-405 and CWE-770 resource-consumption weaknesses. Evidence is limited to the CVE record and GitHub advisory. Do not assume broader AutoGPT components are affected beyond AITextSummarizerBlock unless vendor guidance expands scope.
Mitigation direction
Upgrade AutoGPT to version 0.6.32 or later.
Review vendor advisory GHSA-955p-gpfx-r66j for current guidance.
Restrict access to AutoGPT workflows from untrusted users where possible.
Monitor memory usage and service stability on affected deployments.
Validation and detection
Identify deployed AutoGPT versions and confirm whether any are below 0.6.32.
Inventory workflows using AITextSummarizerBlock.
Check authentication and authorization around users who can submit summarization inputs.
Review logs and monitoring for unexplained memory exhaustion or service restarts.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
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 · low confidence lookup
CWE-405: 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.
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.
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.
We 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.
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
CWE-405 · source CWE mapping
Asymmetric Resource Consumption (Amplification)
Asymmetric Resource Consumption (Amplification) represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.
Allocation of Resources Without Limits or Throttling
Allocation of Resources Without Limits or Throttling represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.