Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessIdentify exposed AutoGPT instance (<0.6.63)
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DeliverySubmit malicious workflow graph
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ExploitStepThroughItemsBlock loops attacker URL list
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ExecutionFileStoreBlock downloads files repeatedly
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PersistWorking-directory disk fills
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ImpactAutoGPT and co-hosted services unavailable
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A06:2025 - Insecure Design
ASVS 5.0
V2 - Validation and Business Logic Resource consumption limits
MITRE ATT&CK
1 technique across 1 tactic: Impact The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Attacker must be able to submit or execute an AutoGPT workflow graph (in default deployments this is the platform's primary, network-exposed capability, hence PR:N in CVSS) and the graph must include |
| Impact | The CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H) is internally consistent: remote, low-complexity, no privileges, no user interaction, and impact restricted to availability of the vulnerable system - which matches the description of a disk-exhaustion DoS with no confidentiality or integrity loss. The 8.7 score reflects how easy the abuse is rather than catastrophic impact; in practice severity scales with the deployment model - a multi-tenant or internet-exposed AutoGPT instance accepting attacker-controlled workflows is at meaningful risk, while a single-user local instance is largely self-DoS. No EPSS score, KEV listing, or POC was provided in the intelligence inputs, so this is not (yet) confirmed actively exploited - no public exploit identified at time of analysis. Net: a real but bounded availability issue, prioritize for hosted/shared deployments, lower urgency for isolated single-user setups. |
| Exploit ScenarioDerived | An attacker with access to submit or trigger an AutoGPT workflow constructs a graph in which |
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Alert meAnalysisAIv1 – Jun 18, 2026
Denial of service in AutoGPT versions prior to 0.6.63 allows remote unauthenticated attackers to exhaust disk space on the host running the workflow automation platform by abusing the StepThroughItemsBlock to repeatedly drive FileStoreBlock downloads. The platform's StepThroughItemsBlock has no loop cap and FileStoreBlock enforces no working-directory disk quota, so an attacker can iteratively download moderately sized files (e.g., 100MB) until storage is exhausted. No public exploit identified at time of analysis, but the GitHub Security Advisory GHSA-9fr4-9jj9-mhh6 confirms the issue and the fix in 0.6.63.
RemediationAI
Vendor-released patch: upgrade AutoGPT to version 0.6.63 or later, which addresses the issue per advisory GHSA-9fr4-9jj9-mhh6 (https://github.com/Significant-Gravitas/AutoGPT/security/advisories/GHSA-9fr4-9jj9-mhh6). Where immediate patching is not possible, compensating controls include restricting who can create or submit workflows so untrusted users cannot author graphs containing StepThroughItemsBlock+FileStoreBlock chains (trade-off: limits multi-tenant functionality), placing the AutoGPT working directory on a dedicated filesystem or volume with a hard quota so disk exhaustion cannot impact the rest of the host (trade-off: legitimate large workflows may fail), and adding monitoring/alerting on working-directory growth rate plus egress traffic from FileStore downloads to detect abuse early (trade-off: detective rather than preventive). Network-level egress filtering to constrain which URLs FileStoreBlock can reach further reduces the attack surface but may break legitimate agent workflows.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
AutoGPT (cpe:2.3:a:significant-gravitas:autogpt) is a Python-based workflow automation platform that chains together composable 'blocks' to build autonomous AI agent pipelines. Two such blocks interact unsafely here: StepThroughItemsBlock iterates over an arbitrary input list and forwards each element to the next block, and FileStoreBlock retrieves a file from a URL into the current working directory. The root cause maps to CWE-400 (Uncontrolled Resource Consumption): neither block enforces an upper bound - StepThroughItemsBlock has no maximum iteration count, and FileStoreBlock enforces only a per-download time/access window rather than a cumulative disk-space quota. Chained together, they form an unbounded download loop that writes to local storage with no aggregate ceiling.
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Severity by source
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
Network-reachable workflow submission with no auth or interaction in default AutoGPT deployments yields AV:N/AC:L/PR:N/UI:N; impact is pure disk-exhaustion DoS, so C:N/I:N/A:H.
Primary rating from Vendor (GitHub_M).
CVSS VectorVendor: GitHub_M
Lifecycle Timeline
1DescriptionCVE.org
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.63, StepThroughItemsBlock can iterate all the contents in a list and send them to FileStoreBlock for downloading one by one. Although FileStoreBlock has access time limits for downloading files, StepThroughItemsBlock can be used to slowly iterate and download relatively small files (e.g., 100M) multiple times. StepThroughItemsBlock does not limit the number of loops. In addition, FileStoreBlock does not limit the amount of disk space consumed in the current working directory. When a malicious user chooses to download too many videos, the disk space will eventually run out, causing a DoS. Version 0.6.63 patches the issue.
Executive ViewAI
Organizations using AutoGPT for workflow automation face critical service disruption risk due to a denial-of-service vulnerability (CVE-2025-32422, CVSS 8.7) that allows remote attackers to exhaust disk storage without authentication. Unpatched deployments can experience complete automation platform outages. Immediate upgrade to version 0.6.63 or later is essential to restore security posture and prevent operational disruption.
Apply vendor patch (AutoGPT 0.6.63 or later). If patching cannot be completed within 7 days: restrict network access to AutoGPT services, enforce OS-level disk quotas to prevent exhaustion, and implement real-time storage alerting to detect anomalous file download patterns.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Denial of Service attacks render applications or systems unavailable by overwhelming resources or triggering failure conditions.
DOM-based cross-site scripting in AutoGPT versions prior to 0.6.62 allows remote attackers to execute arbitrary JavaScri
Resource exhaustion denial-of-service in Significant Gravitas AutoGPT versions prior to 0.6.63 allows remote unauthentic
Denial of service in Significant-Gravitas AutoGPT prior to 0.6.63 allows remote attackers to exhaust host disk space by
Denial of service in AutoGPT prior to 0.6.63 allows remote unauthenticated users to exhaust host disk space by chaining
Server-side request forgery in the AutoGPT Platform (versions prior to 0.6.52) lets an authenticated user abuse the Send
Webhook signature verification bypass in AutoGPT Platform before 0.6.70 allows unauthenticated remote attackers to trigg
Insecure deserialization in Significant-Gravitas AutoGPT platform versions 0.6.34 through 0.6.51 lets an attacker who ca
Unauthenticated denial-of-service in AutoGPT Platform versions 0.4.2 through 0.6.51 allows remote attackers to exhaust s
Disk exhaustion denial-of-service in Significant Gravitas AutoGPT prior to version 0.6.63 allows authenticated platform
Authenticated session hijacking in Significant Gravitas AutoGPT versions 0.6.36 through 0.6.50 allows any logged-in user
Improper access control in AutoGPT’s webhook ping endpoint allows any authenticated user to enumerate other users’ webho
Memory exhaustion in AutoGPT's AITextSummarizerBlock allows authenticated users to trigger extreme resource amplificatio
EUVD-2025-210280
NVD
CVE.org
EPSS
Vulnrichment
GitHub
VulDB
Exploit-DB