Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2023-37275

3.1 · LOW
Published Jul 13, 2023 agpt CWE-117 EPSS 0.44% (37th pctl)

Overview

CVE-2023-37275 is a low-severity vulnerability affecting agpt autogpt_classic. It was published on July 13, 2023 and has a CVSS 3.1 base score of 3.1 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.1, rated LOW. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

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.

Remediation

Check the references section for vendor advisories and patches from agpt. Update autogpt_classic to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status
agpt autogpt_classic >= 0, < 0.4.3 Affected

Frequently Asked Questions

What is CVE-2023-37275?

CVE-2023-37275 is a low-severity vulnerability affecting agpt autogpt_classic. It was published on July 13, 2023 and has a CVSS 3.1 base score of 3.1 (LOW).

How severe is CVE-2023-37275?

This vulnerability has a CVSS 3.1 base score of 3.1, rated LOW. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2023-37275?

Check the references section for vendor advisories and patches from agpt. Update autogpt_classic to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2023-37275?

CyberStrike's AI-powered security agents can automatically detect CVE-2023-37275 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.