GHSA-G84Q-54HF-36RG
Vulnerability from github – Published: 2024-09-11 15:31 – Updated: 2024-09-18 22:11
VLAI
Summary
AutoGPT bypass of the shell commands denylist settings
Details
A vulnerability in significant-gravitas/autogpt version 0.5.1 allows an attacker to bypass the shell commands denylist settings. The issue arises when the denylist is configured to block specific commands, such as whoami and /bin/whoami. An attacker can circumvent this restriction by executing commands with a modified path, such as /bin/./whoami, which is not recognized by the denylist.
Severity
9.8 (Critical)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "agpt"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "0.5.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2024-6091"
],
"database_specific": {
"cwe_ids": [
"CWE-78"
],
"github_reviewed": true,
"github_reviewed_at": "2024-09-18T22:11:39Z",
"nvd_published_at": "2024-09-11T13:15:03Z",
"severity": "CRITICAL"
},
"details": "A vulnerability in significant-gravitas/autogpt version 0.5.1 allows an attacker to bypass the shell commands denylist settings. The issue arises when the denylist is configured to block specific commands, such as `whoami` and `/bin/whoami`. An attacker can circumvent this restriction by executing commands with a modified path, such as `/bin/./whoami`, which is not recognized by the denylist.",
"id": "GHSA-g84q-54hf-36rg",
"modified": "2024-09-18T22:11:39Z",
"published": "2024-09-11T15:31:12Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-6091"
},
{
"type": "WEB",
"url": "https://github.com/significant-gravitas/autogpt/commit/ef691359b774a1f9f80cf4f5ace9821967b718ed"
},
{
"type": "PACKAGE",
"url": "https://github.com/Significant-Gravitas/AutoGPT"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/8a742c13-bb5e-4bc9-8b86-049d8a386050"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "AutoGPT bypass of the shell commands denylist settings"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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