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.
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 ExtractTextInformationBlock. 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.
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. In versions prior to 0.6.52, the Fill Text Template block is vulnerable to a Denial of Service (DoS) attack. While the backend implements a SandboxedEnvironment to prevent unauthorized attribute access (e.g., blocking __class__), it fails to limit the computational complexity or execution time of the expressions. An attacker can input computationally expensive Python/Jinja2 expressions that consume the server's CPU and memory, leading to a complete system hang or crash. In multi-tenant or self-hosted environments, this results in a complete service outage and "noisy neighbor" effects that require manual administrative intervention to recover. This issue has been fixed in version 0.6.52.
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Versions prior to 0.6.62 have a DOM-based Cross-Site Scripting (XSS) vulnerability in AutoGPT's signup page. The application improperly trusts a URL parameter (`next`), which is passed to `router.push`. An attacker can craft a malicious link that, when opened by an authenticated user, performs a client-side redirect and executes arbitrary JavaScript in the context of their browser. This could lead to credential theft, internal network pivoting, and unauthorized actions performed on behalf of the victim. Version 0.6.62 patches the issue.
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.63, `MediaDurationBlock` will download and store the video in a temporary directory without deleting before all noded are done. `StepThroughItemsBlock` can be used to iterate `MediaDurationBlock` multiple times. `StepThroughItemsBlock` does not limit the number of loops. In addition, `MediaDurationBlock ` does not limit the amount of disk space consumed in the current working directory and does not delete the video after outputing the result. When a malicious user chooses to screen shot many web pages, the disk space will eventually run out, causing a DoS. Version 0.6.63 patches the issue.
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.63, `AddAudioToVideoBlock` will download and store the video and audio in a temporary directory without deleting before all noded are done. `StepThroughItemsBlock` can be used to iterate `MediaDurationBlock` multiple times. `StepThroughItemsBlock` does not limit the number of loops. In addition, `AddAudioToVideoBlock` does not limit the amount of disk space consumed in the current working directory and does not delete the video after outputing the result. When a malicious user chooses to screen shot many web pages, the disk space will eventually run out, causing a DoS. Version 0.6.63 patches the issue.
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.63, ScreenshotWebPageBlock will store the captured screenshots in a temporary directory. `StepThroughItemsBlock` can be used to iterate `ScreenshotWebPageBlock` multiple times. `StepThroughItemsBlock` does not limit the number of loops. In addition, `ScreenshotWebPageBlock` does not limit the amount of disk space consumed in the current working directory. When a malicious user chooses to screen shot many web pages, the disk space will eventually run out, causing a DoS. Version 0.6.63 patches the issue.
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.
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.63, AutoGPT's LoopVideoBLock allows users to input a video file and process the video, such as looping it 5 times or extending the time, and finally writing it to disk. However, there is no limit on the resources that can be allocated during execution. For example, the number of loops is user-controllable and unlimited. When a malicious attacker loops too many times, the generated video is too large, and after writing it to disk, the disk space is exhausted, eventually causing DoS. Version 0.6.63 patches the issue.
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.59, POST /api/blocks/{block_id}/execute endpoint executes blocks without consuming any credits, regardless of the user's balance. The credit check that exists in the graph execution path (manager.py) is never reached when blocks are called directly via the external API, allowing unlimited free execution of all blocks. This vulnerability is fixed in 0.6.59.
AutoGPT versions 0.6.34 through 0.6.51 contain a deserialization vulnerability where Redis cache data is deserialized using pickle.loads without integrity or authenticity checks. This allows an attacker who can poison a shared Redis cache key to execute arbitrary commands in the backend container, impacting confidentiality, integrity, and availability. The issue is fixed in version 0.6.52.
AutoGPT versions 0.4.2 through 0.6.51 contain a vulnerability where the download_agent_file endpoint creates temporary files that are not deleted after use. This allows an unauthenticated attacker to repeatedly invoke this endpoint, causing uncontrolled disk space consumption. The resulting exhaustion of disk space can lead to failures in the database or other system services, causing a denial of service that renders the AutoGPT backend unavailable. The issue is fixed in version 0.6.52.
AutoGPT versions 0.6.36 through 0.6.50 contain a missing authorization vulnerability that allows authenticated users to hijack other users' sessions. The PATCH /sessions/{session_id}/assign-user endpoint does not verify session ownership, enabling attackers who know another user's session_id to reassign that session to themselves. This lets the attacker read messages in the hijacked session and lock out the legitimate user. The vulnerability is fixed in version 0.6.51.
AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. In AutoGPT, the execution process is recorded to the console (stdout/stderr), and deployed in container mode, which is automatically captured by Docker and stored as "container logs". However, prior to 0.6.32, there is no limit on the log size when the container is deployed. When the number of user accesses is too large, the log on the server disk will be too large, causing disk resource exhaustion and eventually causing DoS.autogpt-platform-beta-v0.6.32 fixes the issue.
CVE-2025-62616 is a critical Server-Side Request Forgery (SSRF) vulnerability affecting Significant-Gravitas AutoGPT versions prior to autogpt-platform-beta-v0.6.34. The flaw arises from unfiltered user input URLs passed directly to aiohttp. ClientSession(). get in the SendDiscordFileBlock function, allowing attackers to induce the server to make arbitrary HTTP requests. This vulnerability requires no authentication or user interaction and can lead to high confidentiality and integrity impacts by enabling internal network scanning, data exfiltration, or interaction with internal services. The issue has been patched in version 0.6.34.
CVE-2025-62615 is a critical Server-Side Request Forgery (SSRF) vulnerability in Significant-Gravitas AutoGPT versions prior to autogpt-platform-beta-v0.6.34. The issue arises from the unfiltered use of urllib.request.urlopen in the RSSFeedBlock component, allowing attackers to craft malicious URLs that the server will fetch. This can lead to unauthorized internal network access and potential data exposure. The vulnerability requires no authentication or user interaction and has a CVSS 4.0 score of 9.3, indicating high impact on confidentiality and integrity.
CVE-2026-22038 is a high-severity vulnerability in Significant-Gravitas AutoGPT versions prior to autogpt-platform-beta-v0.6.46. The issue involves the insertion of sensitive information, specifically API keys and authentication secrets, into log files in plaintext via logger.info() calls within three Stagehand integration blocks. This exposure can lead to confidentiality breaches and potential denial of service due to availability impact. The vulnerability requires network access and low privileges but no user interaction, making exploitation feasible in many environments. The flaw has been patched in version 0.6.46.
AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. Prior to autogpt-platform-beta-v0.6.44, AutoGPT Platform's block execution endpoints (both main web API and external API) allow executing blocks by UUID without checking the `disabled` flag. Any authenticated user can execute the disabled `BlockInstallationBlock`, which writes arbitrary Python code to the server filesystem and executes it via `__import__()`, achieving Remote Code Execution. In default self-hosted deployments where Supabase signup is enabled, an attacker can self-register; if signup is disabled (e.g., hosted), the attacker needs an existing account.autogpt-platform-beta-v0.6.44 contains a fix.
AutoGPT versions 0.3.4 and earlier are vulnerable to a Server-Side Template Injection (SSTI) that could lead to Remote Code Execution (RCE). The vulnerability arises from the improper handling of user-supplied format strings in the `AgentOutputBlock` implementation, where malicious input is passed to the Jinja2 templating engine without adequate security measures. Attackers can exploit this flaw to execute arbitrary commands on the host system. The issue is fixed in version 0.4.0.
A command injection vulnerability exists in the workflow-checker.yml workflow of significant-gravitas/autogpt. The untrusted user input `github.head.ref` is used insecurely, allowing an attacker to inject arbitrary commands. This vulnerability affects versions up to and including the latest version. An attacker can exploit this by creating a branch name with a malicious payload and opening a pull request, potentially leading to reverse shell access or theft of sensitive tokens and keys.