Reinier van der Leer

9 exploits Active since Jun 2024
CVE-2026-30950 WRITEUP HIGH WRITEUP
AutoGPT has Authenticated Session Hijacking via IDOR
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Versions 0.6.36 through 0.6.50 are vulnerable to Authenticated Session Hijacking via IDOR. If an authenticated attacker can determine the session_id of another user's session, they can take it over, reading any messages in it and locking the legitimate user out. The PATCH /sessions/{session_id}/assign-user endpoint authenticates the caller but never verifies session ownership: the service layer invokes the session lookup with user_id=None, which the data access layer interprets as a privileged/system call that bypasses the ownership filter, allowing any authenticated user to reassign an arbitrary session to themselves. This issue has been patched in version 0.6.51.
CVSS 7.1
CVE-2025-32425 WRITEUP MEDIUM WRITEUP
AutoGPT < 0.6.32 Platform Containers - Docker Log Disk Exhaustion Denial of Service
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.
CVSS 5.5
CVE-2026-26006 WRITEUP MEDIUM WRITEUP
AutoGPT 0.4.0-0.6.31 - Regular Expression Denial of Service in Code Extraction Block
AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. The autogpt before 0.6.32 is vulnerable to Regular Expression Denial of Service due to the use of regex at Code Extraction Block. The two Regex are used containing the corresponding dangerous patterns \s+[\s\S]*? and \s+(.*?). They share a common characteristic — the combination of two adjacent quantifiers that can match the same space character (\s). As a result, an attacker can supply a long sequence of space characters to trigger excessive regex backtracking, potentially leading to a Denial of Service (DoS). This vulnerability is fixed in 0.6.32.
CVSS 6.5
CVE-2024-1879 WRITEUP HIGH WRITEUP
autogpt_classic v0.5.0 - Cross-Site Request Forgery via Unprotected API Endpoint
A Cross-Site Request Forgery (CSRF) vulnerability in significant-gravitas/autogpt version v0.5.0 allows attackers to execute arbitrary commands on the AutoGPT server. The vulnerability stems from the lack of protections on the API endpoint receiving instructions, enabling an attacker to direct a user running AutoGPT in their local network to a malicious website. This site can then send crafted requests to the AutoGPT server, leading to command execution. The issue is exacerbated by CORS being enabled for arbitrary origins by default, allowing the attacker to read the response of all cross-site queries. This vulnerability was addressed in version 5.1.
CVSS 8.8
CVE-2024-1880 WRITEUP HIGH WRITEUP
agpt/autogpt_classic < 0.5.1 - OS Command Injection via MacOSTTS _speech Method
An OS command injection vulnerability exists in the MacOS Text-To-Speech class MacOSTTS of the significant-gravitas/autogpt project, affecting versions up to v0.5.0. The vulnerability arises from the improper neutralization of special elements used in an OS command within the `_speech` method of the MacOSTTS class. Specifically, the use of `os.system` to execute the `say` command with user-supplied text allows for arbitrary code execution if an attacker can inject shell commands. This issue is triggered when the AutoGPT instance is run with the `--speak` option enabled and configured with `TEXT_TO_SPEECH_PROVIDER=macos`, reflecting back a shell injection snippet. The impact of this vulnerability is the potential execution of arbitrary code on the instance running AutoGPT. The issue was addressed in version 5.1.0.
CVSS 7.8
CVE-2024-1881 WRITEUP CRITICAL WRITEUP
agpt/autogpt_classic 0.5.0-<0.5.1 - OS Command Injection via Shell Command Validation Bypass
AutoGPT, a component of significant-gravitas/autogpt, is vulnerable to an improper neutralization of special elements used in an OS command ('OS Command Injection') due to a flaw in its shell command validation function. Specifically, the vulnerability exists in versions v0.5.0 up to but not including 5.1.0. The issue arises from the application's method of validating shell commands against an allowlist or denylist, where it only checks the first word of the command. This allows an attacker to bypass the intended restrictions by crafting commands that are executed despite not being on the allowlist or by including malicious commands not present in the denylist. Successful exploitation of this vulnerability could allow an attacker to execute arbitrary shell commands.
CVSS 9.8
CVE-2025-0454 WRITEUP HIGH WORKING POC
agpt/autogpt_platform < 0.4.0 - Server-Side Request Forgery via Hostname Confusion
A Server-Side Request Forgery (SSRF) vulnerability was identified in the Requests utility of significant-gravitas/autogpt versions prior to v0.4.0. The vulnerability arises due to a hostname confusion between the `urlparse` function from the `urllib.parse` library and the `requests` library. A malicious user can exploit this by submitting a specially crafted URL, such as `http://localhost:\@google.com/../`, to bypass the SSRF check and perform an SSRF attack.
CVSS 7.5
CVE-2025-32393 WRITEUP MEDIUM WRITEUP
AutoGPT <autogpt-platform-beta-v0.6.32 - DoS
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-v0.6.32, there is a DoS vulnerability in ReadRSSFeedBlock. In RSSBlock, feedparser.parser is called to obtain the XML file according to the URL input by the user, parse the XML, and finally obtain the parsed result. However, during the parsing process, there is no limit on the parsing time and the resources that can be allocated for parsing. When a malicious user lets RSSBlock parse a carefully constructed, deep XML, it will cause memory resources to be exhausted, eventually causing DoS. This issue has been patched in autogpt-platform-beta-v0.6.32.
CVSS 6.5
CVE-2025-53944 WRITEUP HIGH WRITEUP
autogpt_platform <= v0.6.15 - Authenticated Authorization Bypass via graph_exec_id Parameter
AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents. In v0.6.15 and below, the external API's get_graph_execution_results endpoint has an authorization bypass vulnerability. While it correctly validates user access to the graph_id, it fails to verify ownership of the graph_exec_id parameter, allowing authenticated users to access any execution results by providing arbitrary execution IDs. The internal API implements proper validation for both parameters. This is fixed in v0.6.16.
CVSS 7.7