BREW-ANSIBLE-CVE-2014-4657 (GHSA-QG47-5PX9-32G7)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:35 – Updated: 2026-09-10 18:51 – Source website
VLAI
Summary
Ansible Remote Code Execution
Details
The safe_eval function in Ansible before 1.5.4 does not properly restrict the code subset, which allows remote attackers to execute arbitrary code via crafted instructions.
Severity
9.8 (Critical)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"upstream_fixed_in": "1.5.4"
},
"package": {
"ecosystem": "Homebrew",
"name": "ansible",
"purl": "pkg:brew/ansible"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "14.3.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/ansible@14.4.0",
"name": "ansible",
"strategy": "registry",
"subject_version": "14.4.0"
},
{
"ecosystem": "Debian",
"key": "Debian/ansible",
"name": "ansible",
"strategy": "distro"
},
{
"ecosystem": "GIT",
"key": "upstream:https://github.com/ansible/ansible",
"name": "https://github.com/ansible/ansible",
"strategy": "distro",
"subject_version": "14.4.0"
},
{
"ecosystem": "PyPI",
"key": "upstream:pkg:pypi/ansible@14.4.0",
"name": "ansible",
"strategy": "distro",
"subject_version": "14.4.0"
}
]
},
"details": "The `safe_eval` function in Ansible before 1.5.4 does not properly restrict the code subset, which allows remote attackers to execute arbitrary code via crafted instructions.",
"id": "BREW-ansible-CVE-2014-4657",
"modified": "2026-09-10T18:51:05Z",
"published": "2026-08-13T16:35:22Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2014-4657"
},
{
"type": "WEB",
"url": "https://github.com/ansible/ansible/commit/998793fd0ab55705d57527a38cee5e83f535974c"
},
{
"type": "PACKAGE",
"url": "https://github.com/ansible/ansible"
},
{
"type": "WEB",
"url": "https://github.com/ansible/ansible/blob/release1.5.5/CHANGELOG.md"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/ansible/PYSEC-2020-199.yaml"
},
{
"type": "WEB",
"url": "https://web.archive.org/web/20210120133852/https://www.securityfocus.com/bid/68232"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/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": "Ansible Remote Code Execution",
"upstream": [
"GHSA-qg47-5px9-32g7",
"CVE-2014-4657",
"PYSEC-2020-199"
]
}
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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.
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- 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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