UBUNTU-CVE-2026-59156 (CVE-2026-59156)
Vulnerability from osv_ubuntu – Published: 2026-09-18 16:17 – Updated: 2026-09-23 23:31 – Source website
VLAI
Details
OpenImageIO is a toolset for reading, writing, and manipulating image files of any image file format relevant to VFX / animation. Prior to 3.0.20.0, 3.1.15.0, and 3.2.0.3-beta1, A crafted fits stream containing consecutive 2880-byte header blocks without the mandatory end keyword makes fitsinput::read_fits_header() call itself without a depth bound. repeated recursive parsing exhausts the application stack, resulting in denial of service. The affected implementation is identified by src/fits.imageio/fitsinput.cpp, FitsInput::read_fits_header(), END keyword, and 2880-byte FITS header blocks, which define the relevant source path, functions, state, and trigger. This issue is fixed in versions 3.0.20.0, 3.1.15.0, and 3.2.0.3-beta1.
Severity
6.5 (Medium)
N/A (UNKNOWN)
References
{
"affected": [
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libopenimageio1.6",
"binary_version": "1.6.11~dfsg0-1ubuntu1+esm2"
},
{
"binary_name": "openimageio-tools",
"binary_version": "1.6.11~dfsg0-1ubuntu1+esm2"
},
{
"binary_name": "python-openimageio",
"binary_version": "1.6.11~dfsg0-1ubuntu1+esm2"
}
]
},
"package": {
"ecosystem": "Ubuntu:Pro:16.04:LTS",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@1.6.11~dfsg0-1ubuntu1+esm2?arch=source\u0026distro=esm-apps-legacy/xenial"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.5.17~dfsg0-1ubuntu2",
"1.5.20~dfsg0-1ubuntu2",
"1.5.23~dfsg0-1ubuntu1",
"1.6.9~dfsg0-4ubuntu1",
"1.6.10~dfsg0-1ubuntu1",
"1.6.10~dfsg0-2ubuntu1",
"1.6.11~dfsg0-1ubuntu1",
"1.6.11~dfsg0-1ubuntu1+esm2"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libopenimageio1.7",
"binary_version": "1.7.17~dfsg0-1ubuntu2+esm1"
},
{
"binary_name": "openimageio-tools",
"binary_version": "1.7.17~dfsg0-1ubuntu2+esm1"
},
{
"binary_name": "python-openimageio",
"binary_version": "1.7.17~dfsg0-1ubuntu2+esm1"
}
]
},
"package": {
"ecosystem": "Ubuntu:Pro:18.04:LTS",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@1.7.17~dfsg0-1ubuntu2+esm1?arch=source\u0026distro=esm-apps/bionic"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.6.17~dfsg0-1ubuntu5",
"1.7.17~dfsg0-1ubuntu2",
"1.7.17~dfsg0-1ubuntu2+esm1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libopenimageio2.1",
"binary_version": "2.1.12.0~dfsg0-1ubuntu0.1~esm1"
},
{
"binary_name": "openimageio-tools",
"binary_version": "2.1.12.0~dfsg0-1ubuntu0.1~esm1"
},
{
"binary_name": "python3-openimageio",
"binary_version": "2.1.12.0~dfsg0-1ubuntu0.1~esm1"
}
]
},
"package": {
"ecosystem": "Ubuntu:Pro:20.04:LTS",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@2.1.12.0~dfsg0-1ubuntu0.1~esm1?arch=source\u0026distro=esm-apps/focal"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.0.10~dfsg0-1",
"2.0.11~dfsg0-1",
"2.0.12~dfsg0-1",
"2.0.12~dfsg0-1build1",
"2.0.12~dfsg0-1build2",
"2.1.10.1~dfsg0-5ubuntu4",
"2.1.10.1~dfsg0-5ubuntu5",
"2.1.12.0~dfsg0-1",
"2.1.12.0~dfsg0-1ubuntu0.1~esm1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libopenimageio2.2",
"binary_version": "2.2.18.0+dfsg-1ubuntu2"
},
{
"binary_name": "openimageio-tools",
"binary_version": "2.2.18.0+dfsg-1ubuntu2"
},
{
"binary_name": "python3-openimageio",
"binary_version": "2.2.18.0+dfsg-1ubuntu2"
}
]
},
"package": {
"ecosystem": "Ubuntu:22.04:LTS",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@2.2.18.0+dfsg-1ubuntu2?arch=source\u0026distro=jammy"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.2.10.1+dfsg-1build1",
"2.2.18.0+dfsg-1",
"2.2.18.0+dfsg-1build2",
"2.2.18.0+dfsg-1ubuntu2"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libopenimageio2.4t64",
"binary_version": "2.4.17.0+dfsg-1.1ubuntu0.1~esm1"
},
{
"binary_name": "openimageio-tools",
"binary_version": "2.4.17.0+dfsg-1.1ubuntu0.1~esm1"
},
{
"binary_name": "python3-openimageio",
"binary_version": "2.4.17.0+dfsg-1.1ubuntu0.1~esm1"
}
]
},
"package": {
"ecosystem": "Ubuntu:Pro:24.04:LTS",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@2.4.17.0+dfsg-1.1ubuntu0.1~esm1?arch=source\u0026distro=esm-apps/noble"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.4.14.0+dfsg-1",
"2.4.16.0+dfsg-1",
"2.4.16.0+dfsg-1build1",
"2.4.17.0+dfsg-1",
"2.4.17.0+dfsg-1build1",
"2.4.17.0+dfsg-1.1build3",
"2.4.17.0+dfsg-1.1build4",
"2.4.17.0+dfsg-1.1ubuntu0.1~esm1"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libopenimageio2.5",
"binary_version": "2.5.19.1+dfsg-2ubuntu0.1~esm1"
},
{
"binary_name": "openimageio-tools",
"binary_version": "2.5.19.1+dfsg-2ubuntu0.1~esm1"
},
{
"binary_name": "python3-openimageio",
"binary_version": "2.5.19.1+dfsg-2ubuntu0.1~esm1"
}
]
},
"package": {
"ecosystem": "Ubuntu:Pro:26.04:LTS",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@2.5.19.1+dfsg-2ubuntu0.1~esm1?arch=source\u0026distro=esm-apps/resolute"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.5.18.0+dfsg-1build2",
"2.5.19.1+dfsg-1build1",
"2.5.19.1+dfsg-1build3",
"2.5.19.1+dfsg-1build5",
"2.5.19.1+dfsg-2",
"2.5.19.1+dfsg-2ubuntu0.1~esm1"
]
}
],
"aliases": [],
"details": "OpenImageIO is a toolset for reading, writing, and manipulating image files of any image file format relevant to VFX / animation. Prior to 3.0.20.0, 3.1.15.0, and 3.2.0.3-beta1, A crafted fits stream containing consecutive 2880-byte header blocks without the mandatory end keyword makes fitsinput::read_fits_header() call itself without a depth bound. repeated recursive parsing exhausts the application stack, resulting in denial of service. The affected implementation is identified by src/fits.imageio/fitsinput.cpp, FitsInput::read_fits_header(), END keyword, and 2880-byte FITS header blocks, which define the relevant source path, functions, state, and trigger. This issue is fixed in versions 3.0.20.0, 3.1.15.0, and 3.2.0.3-beta1.",
"id": "UBUNTU-CVE-2026-59156",
"modified": "2026-09-23T23:31:24Z",
"published": "2026-09-18T16:17:00Z",
"references": [
{
"type": "REPORT",
"url": "https://ubuntu.com/security/CVE-2026-59156"
},
{
"type": "REPORT",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-59156"
},
{
"type": "REPORT",
"url": "https://github.com/AcademySoftwareFoundation/OpenImageIO/security/advisories/GHSA-xvwr-x6ch-v2fq"
},
{
"type": "REPORT",
"url": "https://github.com/AcademySoftwareFoundation/OpenImageIO/pull/5248"
},
{
"type": "REPORT",
"url": "https://github.com/AcademySoftwareFoundation/OpenImageIO/commit/b0de7d40d06eb4abc7ef14c1321a1a2a976d8c1c"
},
{
"type": "REPORT",
"url": "https://github.com/AcademySoftwareFoundation/OpenImageIO/commit/b0de7d40d06eb4abc7ef14c1321a1a2a976d8c1c"
},
{
"type": "REPORT",
"url": "https://github.com/AcademySoftwareFoundation/OpenImageIO/releases/tag/v3.0.20.0"
},
{
"type": "REPORT",
"url": "https://github.com/AcademySoftwareFoundation/OpenImageIO/releases/tag/v3.1.15.0"
}
],
"related": [],
"schema_version": "1.7.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "medium",
"type": "Ubuntu"
}
],
"upstream": [
"CVE-2026-59156"
]
}
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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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