Vulnerability in Agpt Autogpt_classic
CVE-2023-37275
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…
EPSS: 0.004 (30.0th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 3.1 (Low). Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:L/A:N.
Affected products
- Agpt Autogpt_classic
- Significant-gravitas Auto-gpt — versions < 0.4.3
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (x_refsource_CONFIRM, Patch, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
Frequently asked questions
- What is CVE-2023-37275?
- CVE-2023-37275 is a low-severity vulnerability in Agpt Autogpt_classic, classified under Improper Output Neutralization for Logs. CVSS score: 3.1/10. Published 2023-07-13.
- How severe is CVE-2023-37275?
- Low severity. CVSS v3 base score is 3.1 out of 10.
- Is CVE-2023-37275 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.