UBUNTU-CVE-2026-43905 (CVE-2026-43905)
Vulnerability from osv_ubuntu – Published: 2026-05-14 20:17 – Updated: 2026-05-14 20:17 – Source website
Withdrawn 2026-06-16
VLAI
Details
OpenImageIO is a toolset for reading, writing, and manipulating image files of any image file format relevant to VFX / animation. Prior to 3.0.18.0 and 3.1.13.0, jpeg2000input.cpp:395 computes buffer size as const int bufsize = w * h * ch * buffer_bpp using signed 32-bit arithmetic. When the product exceeds INT_MAX, the result wraps to 0 or a small value. m_buf.resize() allocates an undersized buffer, and subsequent pixel write loops cause heap overflow. Conditional on USE_OPENJPH build flag. This vulnerability is fixed in 3.0.18.0 and 3.1.13.0.
Severity
7.8 (High)
N/A (UNKNOWN)
References
{
"affected": [
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libopenimageio1.6",
"binary_version": "1.6.11~dfsg0-1ubuntu1"
},
{
"binary_name": "openimageio-tools",
"binary_version": "1.6.11~dfsg0-1ubuntu1"
},
{
"binary_name": "python-openimageio",
"binary_version": "1.6.11~dfsg0-1ubuntu1"
}
]
},
"package": {
"ecosystem": "Ubuntu:16.04:LTS",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@1.6.11~dfsg0-1ubuntu1?arch=source\u0026distro=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"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libopenimageio1.7",
"binary_version": "1.7.17~dfsg0-1ubuntu2"
},
{
"binary_name": "openimageio-tools",
"binary_version": "1.7.17~dfsg0-1ubuntu2"
},
{
"binary_name": "python-openimageio",
"binary_version": "1.7.17~dfsg0-1ubuntu2"
}
]
},
"package": {
"ecosystem": "Ubuntu:18.04:LTS",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@1.7.17~dfsg0-1ubuntu2?arch=source\u0026distro=bionic"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.6.17~dfsg0-1ubuntu5",
"1.7.17~dfsg0-1ubuntu2"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libopenimageio2.1",
"binary_version": "2.1.12.0~dfsg0-1"
},
{
"binary_name": "openimageio-tools",
"binary_version": "2.1.12.0~dfsg0-1"
},
{
"binary_name": "python3-openimageio",
"binary_version": "2.1.12.0~dfsg0-1"
}
]
},
"package": {
"ecosystem": "Ubuntu:20.04:LTS",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@2.1.12.0~dfsg0-1?arch=source\u0026distro=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"
]
},
{
"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-1.1build4"
},
{
"binary_name": "openimageio-tools",
"binary_version": "2.4.17.0+dfsg-1.1build4"
},
{
"binary_name": "python3-openimageio",
"binary_version": "2.4.17.0+dfsg-1.1build4"
}
]
},
"package": {
"ecosystem": "Ubuntu:24.04:LTS",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@2.4.17.0+dfsg-1.1build4?arch=source\u0026distro=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"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libopenimageio2.5",
"binary_version": "2.5.18.0+dfsg-1build2"
},
{
"binary_name": "openimageio-tools",
"binary_version": "2.5.18.0+dfsg-1build2"
},
{
"binary_name": "python3-openimageio",
"binary_version": "2.5.18.0+dfsg-1build2"
}
]
},
"package": {
"ecosystem": "Ubuntu:25.10",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@2.5.18.0+dfsg-1build2?arch=source\u0026distro=questing"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.5.18.0+dfsg-1build1",
"2.5.18.0+dfsg-1build2"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "libopenimageio2.5",
"binary_version": "2.5.19.1+dfsg-2"
},
{
"binary_name": "openimageio-tools",
"binary_version": "2.5.19.1+dfsg-2"
},
{
"binary_name": "python3-openimageio",
"binary_version": "2.5.19.1+dfsg-2"
}
]
},
"package": {
"ecosystem": "Ubuntu:26.04:LTS",
"name": "openimageio",
"purl": "pkg:deb/ubuntu/openimageio@2.5.19.1+dfsg-2?arch=source\u0026distro=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"
]
}
],
"aliases": [],
"details": "OpenImageIO is a toolset for reading, writing, and manipulating image files of any image file format relevant to VFX / animation. Prior to 3.0.18.0 and 3.1.13.0, jpeg2000input.cpp:395 computes buffer size as const int bufsize = w * h * ch * buffer_bpp using signed 32-bit arithmetic. When the product exceeds INT_MAX, the result wraps to 0 or a small value. m_buf.resize() allocates an undersized buffer, and subsequent pixel write loops cause heap overflow. Conditional on USE_OPENJPH build flag. This vulnerability is fixed in 3.0.18.0 and 3.1.13.0.",
"id": "UBUNTU-CVE-2026-43905",
"modified": "2026-05-14T20:17:00Z",
"published": "2026-05-14T20:17:00Z",
"references": [
{
"type": "REPORT",
"url": "https://ubuntu.com/security/CVE-2026-43905"
},
{
"type": "REPORT",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-43905"
},
{
"type": "REPORT",
"url": "https://github.com/AcademySoftwareFoundation/OpenImageIO/security/advisories/GHSA-pj45-cf3g-28gq"
}
],
"related": [],
"schema_version": "1.7.0",
"severity": [
{
"score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
},
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "medium",
"type": "Ubuntu"
}
],
"upstream": [
"CVE-2026-43905"
],
"withdrawn": "2026-06-16T19:55:00Z"
}
Loading…
Loading…
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.
Loading…
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.
Loading…
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.
Loading…