BREW-MOLECULE-CVE-2023-5764 (GHSA-7J69-QFC3-2FQ9)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:14 – Updated: 2026-09-17 17:54 – Source website
VLAI
Summary
Ansible template injection vulnerability
Details
A template injection flaw was found in Ansible where a user's controller internal templating operations may remove the unsafe designation from template data. This issue could allow an attacker to use a specially crafted file to introduce templating injection when supplying templating data.
Severity
6.6 (Medium)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "ansible-core",
"resource_purl": "pkg:pypi/ansible-core@2.21.3",
"upstream_fixed_in": "2.16.1"
},
"package": {
"ecosystem": "Homebrew",
"name": "molecule",
"purl": "pkg:brew/molecule"
},
"ranges": [
{
"events": [
{
"introduced": "5.0.1"
},
{
"fixed": "6.0.3"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/ansible-core@2.21.3",
"name": "ansible-core",
"resource": "ansible-core",
"strategy": "registry",
"subject_version": "2.21.3"
}
]
},
"details": "A template injection flaw was found in Ansible where a user\u0027s controller internal templating operations may remove the unsafe designation from template data. This issue could allow an attacker to use a specially crafted file to introduce templating injection when supplying templating data.",
"id": "BREW-molecule-CVE-2023-5764",
"modified": "2026-09-17T17:54:38Z",
"published": "2026-08-13T17:14:17Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-5764"
},
{
"type": "WEB",
"url": "https://github.com/ansible/ansible/commit/270b39f6ff02511a2199505161218cbd1a5ae34f"
},
{
"type": "WEB",
"url": "https://github.com/ansible/ansible/commit/7239d2d371bc6e274cbb7314e01431adce6ae25a"
},
{
"type": "WEB",
"url": "https://github.com/ansible/ansible/commit/fea130480d261ea5bf6fcd5cf19a348f1686ceb1"
},
{
"type": "WEB",
"url": "https://access.redhat.com/errata/RHSA-2023:7773"
},
{
"type": "WEB",
"url": "https://access.redhat.com/security/cve/CVE-2023-5764"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2247629"
},
{
"type": "WEB",
"url": "https://github.com/ansible/ansible"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/X7Q6CHPVCHMZS5M7V22GOKFSXZAQ24EU"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:N",
"type": "CVSS_V3"
}
],
"summary": "Ansible template injection vulnerability",
"upstream": [
"GHSA-7j69-qfc3-2fq9",
"CVE-2023-5764",
"PYSEC-2026-1122"
]
}
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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.
- 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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