BREW-PILLOW-CVE-2026-59198 (CVE-2026-59198)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:28 – Updated: 2026-09-10 20:25 – Source website
VLAI
Summary
Pillow TGA RLE encoder can serialize up to ~57 KB of adjacent heap data into generated images
Details
Pillow is a Python imaging library. From 5.2.0 until 12.3.0, Pillow's TGA RLE encoder reads past its packed row buffer when saving a mode 1 image with TGA RLE compression, allowing adjacent process heap bytes to be copied into the generated TGA file. This issue is fixed in version 12.3.0.
Severity
6.5 (Medium)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"upstream_fixed_in": "12.3.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "pillow",
"purl": "pkg:brew/pillow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "12.3.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "git",
"upstream_evidence": [
{
"ecosystem": "GIT",
"key": "https://github.com/python-pillow/pillow",
"name": "https://github.com/python-pillow/pillow",
"strategy": "git",
"subject_version": "12.3.0"
},
{
"ecosystem": "PyPI",
"key": "pkg:pypi/pillow@12.3.0",
"name": "pillow",
"strategy": "registry",
"subject_version": "12.3.0"
},
{
"ecosystem": "Debian",
"key": "Debian/pillow",
"name": "pillow",
"strategy": "distro"
},
{
"ecosystem": "GIT",
"key": "upstream:https://github.com/python-pillow/pillow",
"name": "https://github.com/python-pillow/pillow",
"strategy": "distro",
"subject_version": "12.3.0"
},
{
"ecosystem": "PyPI",
"key": "upstream:pkg:pypi/pillow@12.3.0",
"name": "pillow",
"strategy": "distro",
"subject_version": "12.3.0"
},
{
"ecosystem": "Ubuntu",
"key": "Ubuntu/pillow",
"name": "pillow",
"strategy": "distro"
}
]
},
"details": "Pillow is a Python imaging library. From 5.2.0 until 12.3.0, Pillow\u0027s TGA RLE encoder reads past its packed row buffer when saving a mode 1 image with TGA RLE compression, allowing adjacent process heap bytes to be copied into the generated TGA file. This issue is fixed in version 12.3.0.",
"id": "BREW-pillow-CVE-2026-59198",
"modified": "2026-09-10T20:25:15Z",
"published": "2026-08-13T17:28:20Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0"
},
{
"type": "ADVISORY",
"url": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/59xxx/CVE-2026-59198.json"
},
{
"type": "ADVISORY",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-fj7v-r99m-22gq"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59198"
},
{
"type": "FIX",
"url": "https://github.com/python-pillow/Pillow/commit/eada3cbd7fb9963ee90673fb7b5270124a0d5f4b"
},
{
"type": "FIX",
"url": "https://github.com/python-pillow/Pillow/pull/9709"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:L",
"type": "CVSS_V3"
}
],
"summary": "Pillow TGA RLE encoder can serialize up to ~57 KB of adjacent heap data into generated images",
"upstream": [
"CVE-2026-59198",
"BIT-pillow-2026-59198",
"GHSA-fj7v-r99m-22gq",
"PYSEC-2026-3494"
]
}
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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.
- 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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