AcademySoftwareFoundation OpenImageIO up to 3.0.18.0/3.1.13.0 m_buf.resize integer overflow

CVSS Meta Temp Score
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CTI Interest Score
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6.9$0-$5k0.00

Summaryinfo

A vulnerability was found in AcademySoftwareFoundation OpenImageIO up to 3.0.18.0/3.1.13.0. It has been classified as critical. This impacts the function m_buf.resize. The manipulation leads to integer overflow. This vulnerability is uniquely identified as CVE-2026-43905. The attack is possible to be carried out remotely. No exploit exists. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability was found in AcademySoftwareFoundation OpenImageIO up to 3.0.18.0/3.1.13.0. It has been rated as critical. This issue affects the function m_buf.resize. The manipulation with an unknown input leads to a integer overflow vulnerability. Using CWE to declare the problem leads to CWE-190. The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

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.

The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-43905 since 05/04/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.

The vulnerability scanner Nessus provides a plugin with the ID 314948 (Linux Distros Unpatched Vulnerability : CVE-2026-43905), which helps to determine the existence of the flaw in a target environment.

Upgrading to version 3.0.18.0 or 3.1.13.0 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at Tenable (314948). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
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CVSSv3info

VulDB Meta Base Score: 7.0
VulDB Meta Temp Score: 6.9

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔒

CVSSv2info

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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Integer overflow
CWE: CWE-190 / CWE-189
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Nessus ID: 314948
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2026-43905

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: OpenImageIO 3.0.18.0/3.1.13.0

Timelineinfo

05/04/2026 CVE reserved
05/15/2026 +11 days Advisory disclosed
05/15/2026 +0 days VulDB entry created
05/19/2026 +4 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-pj45-cf3g-28gq
Status: Confirmed

CVE: CVE-2026-43905 (🔒)
GCVE (CVE): GCVE-0-2026-43905
GCVE (VulDB): GCVE-100-363977

Entryinfo

Created: 05/15/2026 04:10
Updated: 05/19/2026 13:19
Changes: 05/15/2026 04:10 (67), 05/16/2026 01:20 (2), 05/19/2026 13:19 (11)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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