Vulnerability from bitnami_vulndb
Published
2026-07-15 08:54
Modified
2026-07-15 09:15
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.
{
"affected": [
{
"package": {
"ecosystem": "Bitnami",
"name": "pillow",
"purl": "pkg:bitnami/pillow"
},
"ranges": [
{
"events": [
{
"introduced": "5.2.0"
},
{
"fixed": "12.3.0"
}
],
"type": "SEMVER"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
],
"aliases": [
"CVE-2026-59198"
],
"database_specific": {
"cpes": [
"cpe:2.3:a:python:pillow:*:*:*:*:*:*:*:*"
],
"severity": "High"
},
"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": "BIT-pillow-2026-59198",
"modified": "2026-07-15T09:15:52.837Z",
"published": "2026-07-15T08:54:57.600Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/commit/eada3cbd7fb9963ee90673fb7b5270124a0d5f4b"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/pull/9709"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/releases/tag/12.3.0"
},
{
"type": "WEB",
"url": "https://github.com/python-pillow/Pillow/security/advisories/GHSA-fj7v-r99m-22gq"
},
{
"type": "WEB",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59198"
}
],
"schema_version": "1.6.2",
"summary": "Pillow TGA RLE encoder can serialize up to ~57 KB of adjacent heap data into generated images"
}
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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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