BREW-PYTHON-FREETHREADIN… (GHSA-5XP3-JFQ3-5Q8X)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:29 – Updated: 2026-09-10 01:00 – Source website
VLAI
Summary
Improper Input Validation in pip
Details
A flaw was found in python-pip in the way it handled Unicode separators in git references. A remote attacker could possibly use this issue to install a different revision on a repository. The highest threat from this vulnerability is to data integrity. This is fixed in python-pip version 21.1.
Severity
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "pip",
"resource_purl": "pkg:pypi/pip@26.2.1",
"upstream_fixed_in": "21.1"
},
"package": {
"ecosystem": "Homebrew",
"name": "python-freethreading",
"purl": "pkg:brew/python-freethreading"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.14.7"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/pip@26.2.1",
"name": "pip",
"resource": "pip",
"strategy": "registry",
"subject_version": "26.2.1"
}
]
},
"details": "A flaw was found in python-pip in the way it handled Unicode separators in git references. A remote attacker could possibly use this issue to install a different revision on a repository. The highest threat from this vulnerability is to data integrity. This is fixed in python-pip version 21.1.",
"id": "BREW-python-freethreading-CVE-2021-3572",
"modified": "2026-09-10T01:00:20Z",
"published": "2026-08-13T17:29:47Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-3572"
},
{
"type": "WEB",
"url": "https://github.com/pypa/pip/pull/9827"
},
{
"type": "WEB",
"url": "https://github.com/pypa/pip/commit/e46bdda9711392fec0c45c1175bae6db847cb30b"
},
{
"type": "WEB",
"url": "https://access.redhat.com/errata/RHSA-2021:3254"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1962856"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-5xp3-jfq3-5q8x"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/pip/PYSEC-2021-437.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/pypa/pip"
},
{
"type": "WEB",
"url": "https://packetstormsecurity.com/files/162712/USN-4961-1.txt"
},
{
"type": "WEB",
"url": "https://security.netapp.com/advisory/ntap-20240621-0006"
},
{
"type": "WEB",
"url": "https://www.oracle.com/security-alerts/cpuapr2022.html"
},
{
"type": "WEB",
"url": "https://www.oracle.com/security-alerts/cpujul2022.html"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:H/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Improper Input Validation in pip",
"upstream": [
"GHSA-5xp3-jfq3-5q8x",
"CVE-2021-3572",
"PYSEC-2021-437"
]
}
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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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