GitHub_MCVELIST:CVE-2023-37275CVE-2023-37275 System logs spoofable in Auto-GPT via ANSI control sequences
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
REQUIRED
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
LOW
Availability Impact
NONE
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:L/A:N
AI Score
Confidence
High
EPSS
Percentile
30.9%
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.
CNA Affected
[
{
"vendor": "Significant-Gravitas",
"product": "Auto-GPT",
"versions": [
{
"version": "< 0.4.3",
"status": "affected"
}
]
}
]Related
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
REQUIRED
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
LOW
Availability Impact
NONE
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:L/A:N
AI Score
Confidence
High
EPSS
Percentile
30.9%