UBUNTU-CVE-2026-33020 (CVE-2026-33020)
Vulnerability from osv_ubuntu – Published: 2026-04-14 22:16 – Updated: 2026-05-20 15:27 – Source website
VLAI
Details
libsixel is a SIXEL encoder/decoder implementation derived from kmiya's sixel. Versions 1.8.7 and prior contain an integer overflow which leads to a heap buffer overflow via sixel_frame_convert_to_rgb888() in frame.c, where allocation size and pointer offset computations for palettised images (PAL1, PAL2, PAL4) are performed using int arithmetic before casting to size_t. For images whose pixel count exceeds INT_MAX / 4, the overflow produces an undersized heap allocation for the conversion buffer and a negative pointer offset for the normalization sub-buffer, after which sixel_helper_normalize_pixelformat() writes the full image data starting from the invalid pointer, causing massive heap corruption confirmed by ASAN. An attacker providing a specially crafted large palettised PNG can corrupt the heap of the victim process, resulting in a reliable crash and potential arbitrary code execution. This issue has been fixed in version 1.8.7-r1.
Severity
7.1 (High)
N/A (UNKNOWN)
References
{
"affected": [
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libsixel-bin",
"binary_version": "1.5.2-2"
},
{
"binary_name": "libsixel1",
"binary_version": "1.5.2-2"
}
]
},
"package": {
"ecosystem": "Ubuntu:16.04:LTS",
"name": "libsixel",
"purl": "pkg:deb/ubuntu/libsixel@1.5.2-2?arch=source\u0026distro=xenial"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.4.2-1",
"1.5.2-2"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libsixel-bin",
"binary_version": "1.7.3-1"
},
{
"binary_name": "libsixel-examples",
"binary_version": "1.7.3-1"
},
{
"binary_name": "libsixel1",
"binary_version": "1.7.3-1"
}
]
},
"package": {
"ecosystem": "Ubuntu:18.04:LTS",
"name": "libsixel",
"purl": "pkg:deb/ubuntu/libsixel@1.7.3-1?arch=source\u0026distro=bionic"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.5.2-2",
"1.7.3-1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libsixel-bin",
"binary_version": "1.8.2-2.1"
},
{
"binary_name": "libsixel-examples",
"binary_version": "1.8.2-2.1"
},
{
"binary_name": "libsixel1",
"binary_version": "1.8.2-2.1"
}
]
},
"package": {
"ecosystem": "Ubuntu:20.04:LTS",
"name": "libsixel",
"purl": "pkg:deb/ubuntu/libsixel@1.8.2-2.1?arch=source\u0026distro=focal"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.8.2-1",
"1.8.2-2.1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libsixel-bin",
"binary_version": "1.10.3-3"
},
{
"binary_name": "libsixel-examples",
"binary_version": "1.10.3-3"
},
{
"binary_name": "libsixel1",
"binary_version": "1.10.3-3"
}
]
},
"package": {
"ecosystem": "Ubuntu:22.04:LTS",
"name": "libsixel",
"purl": "pkg:deb/ubuntu/libsixel@1.10.3-3?arch=source\u0026distro=jammy"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.8.6-2",
"1.10.3-2",
"1.10.3-3"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libsixel-bin",
"binary_version": "1.10.3-3build1"
},
{
"binary_name": "libsixel-examples",
"binary_version": "1.10.3-3build1"
},
{
"binary_name": "libsixel1",
"binary_version": "1.10.3-3build1"
}
]
},
"package": {
"ecosystem": "Ubuntu:24.04:LTS",
"name": "libsixel",
"purl": "pkg:deb/ubuntu/libsixel@1.10.3-3build1?arch=source\u0026distro=noble"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.10.3-3",
"1.10.3-3build1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libsixel-bin",
"binary_version": "1.10.5-1"
},
{
"binary_name": "libsixel-examples",
"binary_version": "1.10.5-1"
},
{
"binary_name": "libsixel1",
"binary_version": "1.10.5-1"
}
]
},
"package": {
"ecosystem": "Ubuntu:25.10",
"name": "libsixel",
"purl": "pkg:deb/ubuntu/libsixel@1.10.5-1?arch=source\u0026distro=questing"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.10.5-1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libsixel-bin",
"binary_version": "1.10.5-1build1"
},
{
"binary_name": "libsixel-examples",
"binary_version": "1.10.5-1build1"
},
{
"binary_name": "libsixel1",
"binary_version": "1.10.5-1build1"
}
]
},
"package": {
"ecosystem": "Ubuntu:26.04:LTS",
"name": "libsixel",
"purl": "pkg:deb/ubuntu/libsixel@1.10.5-1build1?arch=source\u0026distro=resolute"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.10.5-1",
"1.10.5-1build1"
]
}
],
"aliases": [],
"details": "libsixel is a SIXEL encoder/decoder implementation derived from kmiya\u0027s sixel. Versions 1.8.7 and prior contain an integer overflow which leads to a heap buffer overflow via sixel_frame_convert_to_rgb888() in frame.c, where allocation size and pointer offset computations for palettised images (PAL1, PAL2, PAL4) are performed using int arithmetic before casting to size_t. For images whose pixel count exceeds INT_MAX / 4, the overflow produces an undersized heap allocation for the conversion buffer and a negative pointer offset for the normalization sub-buffer, after which sixel_helper_normalize_pixelformat() writes the full image data starting from the invalid pointer, causing massive heap corruption confirmed by ASAN. An attacker providing a specially crafted large palettised PNG can corrupt the heap of the victim process, resulting in a reliable crash and potential arbitrary code execution. This issue has been fixed in version 1.8.7-r1.",
"id": "UBUNTU-CVE-2026-33020",
"modified": "2026-05-20T15:27:21Z",
"published": "2026-04-14T22:16:00Z",
"references": [
{
"type": "REPORT",
"url": "https://ubuntu.com/security/CVE-2026-33020"
},
{
"type": "REPORT",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-33020"
},
{
"type": "REPORT",
"url": "https://github.com/saitoha/libsixel/security/advisories/GHSA-2xgm-4x47-2x2p"
},
{
"type": "REPORT",
"url": "https://github.com/saitoha/libsixel/releases/tag/v1.8.7-r1"
}
],
"related": [],
"schema_version": "1.7.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "medium",
"type": "Ubuntu"
}
],
"upstream": [
"CVE-2026-33020"
]
}
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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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