BREW-AIDER-CVE-2016-3076 (GHSA-V9PC-9MVP-X87G)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:35 – Updated: 2026-09-09 23:40 – Source website
VLAI
Summary
Pillow Buffer overflow in Jpeg2KEncode.c
Details
Heap-based buffer overflow in the j2k_encode_entry function in Pillow 2.5.0 through 3.1.1 allows remote attackers to cause a denial of service (memory corruption) via a crafted Jpeg2000 file.
Severity
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "pillow",
"resource_purl": "pkg:pypi/pillow@12.1.1",
"upstream_fixed_in": "3.1.2"
},
"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": "Heap-based buffer overflow in the j2k_encode_entry function in Pillow 2.5.0 through 3.1.1 allows remote attackers to cause a denial of service (memory corruption) via a crafted Jpeg2000 file.",
"id": "BREW-aider-CVE-2016-3076",
"modified": "2026-09-09T23:40:56Z",
"published": "2026-08-13T16:35:12Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2016-3076"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1321929"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/pillow/PYSEC-2017-92.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/python-pillow/Pillow"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/blob/4.1.x/docs/releasenotes/3.1.2.rst"
},
{
"type": "WEB",
"url": "https://web.archive.org/web/20200227174644/http://www.securityfocus.com/bid/98042"
},
{
"type": "WEB",
"url": "http://pillow.readthedocs.io/en/4.1.x/releasenotes/3.1.2.html"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Pillow Buffer overflow in Jpeg2KEncode.c",
"upstream": [
"GHSA-v9pc-9mvp-x87g",
"CVE-2016-3076",
"PYSEC-2017-92"
]
}
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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
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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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