CVE-2023-37275
LowCVSS 3.1Exploitation Probability (EPSS)
Low risk30th percentile - higher than 30% of all known CVEs
Summary
Auto-GPT is an experimental open-source application that, before version 0.4.3, allowed malicious external resources to trigger misleading messages in the console by using ANSI escape sequences. The issue has been patched in release version 0.4.3.
Risk Assessment
Malicious websites could mislead users, potentially leading to incorrect command execution. This posed a risk of unauthorized access or unintended actions within the system.
Recommendation
It is recommended to update Auto-GPT to version 0.4.3 or later to protect against this type of attack.
Other vulnerabilities in Auto-GPT
See all- CVE-2023-37274High
Auto-GPT is an experimental open-source application that had a vulnerability in the `execute_python_code` command before version 0.4.3, allowing for a path traversal attack. This enables overwriting .py files outside the workspace directory, potentially leading to arbitrary code execution on the host.
- CVE-2023-37273High
Auto-GPT versions prior to 0.4.3 have a vulnerability that allows the docker-compose.yml file in the container to be overwritten, potentially leading to control over the host system. This issue has been patched in version 0.4.3.
Original NVD description (English source)
Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. The Auto-GPT command line UI makes heavy use of color-coded print statements to signify different types of system messages to the user, including messages that are crucial for the user to review and control which commands should be executed. Before v0.4.3, it was possible for a malicious external resource (such as a website browsed by Auto-GPT) to cause misleading messages to be printed to the console by getting the LLM to regurgitate JSON encoded ANSI escape sequences (`\u001b[`). These escape sequences were JSON decoded and printed to the console as part of the model's "thinking process". The issue has been patched in release version 0.4.3.
Vulnerability data from NVD (NIST) · CISA KEV · EPSS