brew-aider-cve-2021-25291
Vulnerability from osv_homebrew
Published
2026-08-13 16:35
Modified
2026-09-09 23:40
Summary
Out of bounds read in Pillow
Details
An issue was discovered in Pillow before 8.2.0. In TiffDecode.c, there is an out-of-bounds read in TiffreadRGBATile via invalid tile boundaries.
Severity
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "pillow",
"resource_purl": "pkg:pypi/pillow@12.1.1",
"upstream_fixed_in": "8.2.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "aider",
"purl": "pkg:brew/aider"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.86.2"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/pillow@12.1.1",
"name": "pillow",
"resource": "pillow",
"strategy": "registry",
"subject_version": "12.1.1"
}
]
},
"details": "An issue was discovered in Pillow before 8.2.0. In `TiffDecode.c`, there is an out-of-bounds read in `TiffreadRGBATile` via invalid tile boundaries.",
"id": "BREW-aider-CVE-2021-25291",
"modified": "2026-09-09T23:40:56Z",
"published": "2026-08-13T16:35:12Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-25291"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/commit/8b8076bdcb3815be0ef0d279651d8d1342b8ea61"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/commit/cbdce6c5d054fccaf4af34b47f212355c64ace7a"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-mvg9-xffr-p774"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/pillow/PYSEC-2021-37.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/python-pillow/Pillow"
},
{
"type": "WEB",
"url": "https://pillow.readthedocs.io/en/stable/releasenotes/8.1.1.html"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202107-33"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Out of bounds read in Pillow",
"upstream": [
"GHSA-mvg9-xffr-p774",
"BIT-pillow-2021-25291",
"CVE-2021-25291",
"PYSEC-2021-37"
]
}
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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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