BREW-ANSIBLE@12-CVE-2014-4678 (GHSA-66C7-5PWV-MM3J)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:35 – Updated: 2026-09-09 23:41 – Source website
VLAI
Summary
Ansible Code Injection Vulnerability
Details
The safe_eval function in Ansible before 1.6.4 does not properly restrict the code subset, which allows remote attackers to execute arbitrary code via crafted instructions. NOTE: this vulnerability exists because of an incomplete fix for CVE-2014-4657.
Severity
9.8 (Critical)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"upstream_fixed_in": "1.6.4"
},
"package": {
"ecosystem": "Homebrew",
"name": "ansible@12",
"purl": "pkg:brew/ansible%4012"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "12.3.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/ansible@12.3.0",
"name": "ansible",
"strategy": "registry",
"subject_version": "12.3.0"
},
{
"ecosystem": "Debian",
"key": "Debian/ansible",
"name": "ansible",
"strategy": "distro"
},
{
"ecosystem": "PyPI",
"key": "upstream:pkg:pypi/ansible@12.3.0",
"name": "ansible",
"strategy": "distro",
"subject_version": "12.3.0"
},
{
"ecosystem": "Ubuntu",
"key": "Ubuntu/ansible",
"name": "ansible",
"strategy": "distro"
}
]
},
"details": "The safe_eval function in Ansible before 1.6.4 does not properly restrict the code subset, which allows remote attackers to execute arbitrary code via crafted instructions. NOTE: this vulnerability exists because of an incomplete fix for CVE-2014-4657.",
"id": "BREW-ansible@12-CVE-2014-4678",
"modified": "2026-09-09T23:41:06Z",
"published": "2026-08-13T16:35:22Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2014-4678"
},
{
"type": "WEB",
"url": "https://github.com/ansible/ansible/commit/5429b85b9f6c2e640074176f36ff05fd5e4d1916"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/ansible/PYSEC-2020-203.yaml"
},
{
"type": "WEB",
"url": "https://groups.google.com/forum/message/raw?msg=ansible-announce/ieV1vZvcTXU/5Q93ThkY9rIJ"
},
{
"type": "WEB",
"url": "https://security-tracker.debian.org/tracker/CVE-2014-4678"
},
{
"type": "WEB",
"url": "https://www.openwall.com/lists/oss-security/2014/06/26/30"
},
{
"type": "WEB",
"url": "https://www.openwall.com/lists/oss-security/2014/07/02/2"
},
{
"type": "WEB",
"url": "https://www.rapid7.com/db/vulnerabilities/freebsd-vid-2c493ac8-205e-11e5-a4a5-002590263bf5"
},
{
"type": "WEB",
"url": "https://www.rapid7.com/db/vulnerabilities/gentoo-linux-cve-2014-4678"
}
],
"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 Code Injection Vulnerability",
"upstream": [
"GHSA-66c7-5pwv-mm3j",
"CVE-2014-4678",
"PYSEC-2020-203"
]
}
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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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