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, a signed integer overflow in QueryRGBBufferSizeInternal() in DPXColorConverter.cpp leads to a heap-based out-of-bounds write when processing crafted DPX image files. The function computes buffer sizes using 32-bit signed integer arithmetic with negative multipliers (e.g., pixels * -3 * bytes for kCbYCr descriptors and pixels * -4 * bytes for kABGR descriptors), where a negative result is used as an in-band signal that no separate buffer is needed. When the pixel count is sufficiently large, the multiplication overflows INT_MIN and wraps to a small positive value. The caller in dpxinput.cpp interprets this positive value as a required buffer size, allocates an undersized heap buffer via m_decodebuf.resize(), and then writes the full image data into it via fread, resulting in a heap buffer overflow. An attacker can exploit this by crafting a DPX file that triggers the overflow, causing a denial of service (crash) or potentially arbitrary code execution through heap corruption in any application that reads pixel data using OpenImageIO. This vulnerability is fixed in 3.0.18.0 and 3.1.13.0.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 8.3, indicating it can be exploited remotely over the network with relatively low complexity though user interaction is required and does not require pre-existing privileges . The vulnerability impacts limited data confidentiality, integrity (unauthorized modifications), and availability (service disruption) for affected systems. Impacting 1 product from openimageio organizations running these solutions should prioritize assessment and patching.
Reported in 2026, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2026-05-14T20:17:06.760
2026-06-17T10:50:03.873
Analyzed
CVSSv3.1: 8.3 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | openimageio | openimageio | < 3.0.18.0 | Yes |
| Application | openimageio | openimageio | < 3.1.13.0 | Yes |
| Application | openimageio | openimageio | 3.2.0.2 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For openimageio's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.