BREW-BBOT-CVE-2021-3701 (GHSA-WWCH-CMQR-HHRM)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:37 – Updated: 2026-09-09 23:43 – Source website
VLAI
Summary
ansible-runner has default temporary files written to world R/W locations
Details
A flaw was found in ansible-runner where the default temporary files configuration in ansible-2.0.0 are written to world R/W locations. This flaw allows an attacker to pre-create the directory, resulting in reading private information or forcing ansible-runner to write files as the legitimate user in a place they did not expect. The highest threat from this vulnerability is to confidentiality and integrity.
Severity
6.6 (Medium)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "ansible-runner",
"resource_purl": "pkg:pypi/ansible-runner@2.4.3",
"upstream_fixed_in": "2.1.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "bbot",
"purl": "pkg:brew/bbot"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.0.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/ansible-runner@2.4.3",
"name": "ansible-runner",
"resource": "ansible-runner",
"strategy": "registry",
"subject_version": "2.4.3"
}
]
},
"details": "A flaw was found in ansible-runner where the default temporary files configuration in ansible-2.0.0 are written to world R/W locations. This flaw allows an attacker to pre-create the directory, resulting in reading private information or forcing ansible-runner to write files as the legitimate user in a place they did not expect. The highest threat from this vulnerability is to confidentiality and integrity.",
"id": "BREW-bbot-CVE-2021-3701",
"modified": "2026-09-09T23:43:32Z",
"published": "2026-08-13T16:37:10Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-3701"
},
{
"type": "WEB",
"url": "https://github.com/ansible/ansible-runner/issues/738"
},
{
"type": "WEB",
"url": "https://github.com/ansible/ansible-runner/pull/742"
},
{
"type": "WEB",
"url": "https://github.com/ansible/ansible-runner/pull/742/commits"
},
{
"type": "WEB",
"url": "https://access.redhat.com/security/cve/CVE-2021-3701"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1977959"
},
{
"type": "PACKAGE",
"url": "https://github.com/ansible/ansible-runner"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/ansible-runner/PYSEC-2022-43067.yaml"
}
],
"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"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "ansible-runner has default temporary files written to world R/W locations",
"upstream": [
"GHSA-wwch-cmqr-hhrm",
"CVE-2021-3701",
"PYSEC-2022-43067"
]
}
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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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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