Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. When Auto-GPT is executed directly on the host system via the provided run.sh or run.bat files, custom Python code execution is sandboxed using a temporary dedicated docker container which should not have access to any files outside of the Auto-GPT workspace directory.
Before v0.4.3, the execute_python_code command (introduced in v0.4.1) does not sanitize the basename arg before writing LLM-supplied code to a file with an LLM-supplied name. This allows for a path traversal attack that can overwrite any .py file outside the workspace directory by specifying a basename such as ../../../main.py. This can further be abused to achieve arbitrary code execution on the host running Auto-GPT by e.g. overwriting autogpt/main.py which will be executed outside of the docker environment meant to sandbox custom python code execution the next time Auto-GPT is started. The issue has been patched in version 0.4.3. As a workaround, the risk introduced by this vulnerability can be remediated by running Auto-GPT in a virtual machine, or another environment in which damage to files or corruption of the program is not a critical problem.
CVE-2023-37274
This high-severity CVE scores 7.5 under NVD CVSS v3. EPSS exploit probability: 0.4%, top 72% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- High severity, but no confirmed exploitation yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 7.5
- EG Score
- 7.5(medium)
- EG Risk
- 34(Track)EG Risk 34/100SSVC: Track
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity75% × 45%Exploitation0% × 40%Automatability0% × 15%Action: Routine — remediate on your standard cadence. - EPSS PROB
- 0%
- EPSS %ILE
- 28%
- KEV
- Not listed
Published
July 13, 2023
Last Modified
February 24, 2026
References (4)
- security-advisories@githubhttps://github.com/Significant-Gravitas/Auto-GPT/pull/4756
- security-advisories@githubhttps://github.com/Significant-Gravitas/Auto-GPT/security/advisories/GHSA-5h38-mgp9-rj5f
- af854a3a-2127-422b-91ae-364da2661108https://github.com/Significant-Gravitas/Auto-GPT/pull/4756
- af854a3a-2127-422b-91ae-364da2661108https://github.com/Significant-Gravitas/Auto-GPT/security/advisories/GHSA-5h38-mgp9-rj5f
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 6× in last 7d / 31× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
Showing the most recent 100 of 149 total refreshes for this CVE.
- 2026-08-30 01:20 UTCEPSS rescore
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Related CVEs(same CWE)
Same CWE
10 shownCWE-94
- CVE-2003-1432EG 10.0EPSS p94HIGH
- CVE-2002-0495EG 10.0EPSS p96HIGH
- CVE-1999-0702EG 10.0EPSS p98HIGH
- CVE-1999-0509EG 10.0EPSS p98HIGH
- CVE-2006-1318EG 9.3EPSS p97HIGH
- CVE-2006-1301EG 9.3EPSS p95HIGH
- CVE-2006-1308EG 9.3EPSS p95HIGH
- CVE-2006-1309EG 9.3EPSS p95HIGH
- CVE-2006-1304EG 9.3EPSS p96HIGH
- CVE-2006-1306EG 9.3EPSS p95HIGH
Frequently asked(5)
What is CVE-2023-37274?
When was CVE-2023-37274 disclosed?
Is CVE-2023-37274 actively exploited?
What is the CVSS score of CVE-2023-37274?
How do I remediate CVE-2023-37274?
Dependency Blast Radius
Explore the affected products and dependency analysis for CVE-2023-37274
Is Your Infrastructure Affected by CVE-2023-37274?
EchelonGraph automatically scans your cloud infrastructure and maps CVE exposure using blast radius analysis.