CVE-2023-37275 - CVE House
Back to Database
Status published Low CVE-2023-37275

System logs spoofable in Auto-GPT via ANSI control sequences

Vulnerability 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.

Impact Analysis

Refer to official advisory for detailed impact metrics.

Remediation

Ensure systems are updated to the latest vendor-supplied patch levels.

THREAT MONITOR

Am I Vulnerable?

Launch our assessment wizard to check if your infrastructure is exposed to • CVE-2023-37275

Credits & Attribution

No credits recorded in the NVD database.

Affected Vendor

Significant-Gravitas

View all reports →

Affected Software

Auto-GPT
Vulnerable Versions:
< 0.4.3

Timeline

Official Publish: July 13th, 2023
Last Modified: October 22nd, 2024
Added to House: July 22nd, 2026

CVSS Vectors

V3: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:L/A:N

Weaknesses (CWE)

MITRE ATT&CK TTPs

No associated TTPs found for this vulnerability.