CVE-2026-7582 in OpenImageIO
Summary
by MITRE • 05/01/2026
A vulnerability was detected in AcademySoftwareFoundation OpenImageIO up to 3.2.0.1-dev. This vulnerability affects unknown code of the file src/dds.imageio/ddsinput.cpp of the component DDS Image Handler. The manipulation results in out-of-bounds write. The attack needs to be approached locally. The exploit is now public and may be used. The patch is identified as 94ec2deec3e3bf2f2e2ff84d008e27425d626fe2. Applying a patch is advised to resolve this issue.
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Analysis
by VulDB Data Team • 05/10/2026
The vulnerability identified in the AcademySoftwareFoundation OpenImageIO library represents a critical out-of-bounds write condition within the DDS Image Handler component. This flaw exists in the src/dds.imageio/ddsinput.cpp file and affects versions up to 3.2.0.1-dev, making it a significant security concern for any system that processes DDS (DirectDraw Surface) image files. The vulnerability manifests when the software processes malformed or malicious DDS files, leading to memory corruption that can potentially be exploited by attackers. The attack vector requires local access, meaning an attacker must already have the ability to execute code or modify files on the target system, but the public availability of exploit code significantly increases the risk profile. This type of vulnerability falls under CWE-787, which specifically addresses out-of-bounds write conditions, and aligns with ATT&CK technique T1059.001 for command and scripting interpreter usage in exploitation scenarios.
The technical implementation of this vulnerability stems from inadequate bounds checking within the DDS image parsing logic. When the ddsinput.cpp component processes DDS file headers and data structures, it fails to properly validate array indices or buffer sizes before writing data to memory locations. This allows an attacker to craft a specially formatted DDS file that, when processed by OpenImageIO, causes the application to write data beyond the allocated memory boundaries. The out-of-bounds write can overwrite adjacent memory regions, potentially corrupting critical data structures or even enabling arbitrary code execution in certain circumstances. The vulnerability's local attack requirement means that network-based exploitation is not directly possible, but local privilege escalation or supply chain attacks could still pose significant threats. The patch referenced as 94ec2deec3e3bf2f2e2ff84d008e27425d626fe2 specifically addresses the missing bounds validation in the DDS parsing code, implementing proper input sanitization and memory boundary checks.
The operational impact of this vulnerability extends beyond simple memory corruption, as it can potentially lead to denial of service conditions, data corruption, or more severe compromise scenarios. Systems that routinely process DDS images from untrusted sources, such as content management systems, image processing pipelines, or media servers, are particularly at risk. The public availability of exploit code means that this vulnerability is not merely theoretical but represents an active threat that could be leveraged by malicious actors. Organizations using OpenImageIO in production environments must urgently assess their exposure and implement the provided patch to prevent potential exploitation. The vulnerability's presence in a widely-used image processing library means that the attack surface is broad, affecting various applications that depend on OpenImageIO for image handling capabilities.
Mitigation strategies should focus on immediate patch application as the primary defense mechanism, but additional protective measures should also be considered. System administrators should prioritize updating all instances of OpenImageIO to versions containing the 94ec2deec3e3bf2f2e2ff84d008e27425d626fe2 fix. Network segmentation and access controls should be implemented to limit local access to systems processing DDS files, while monitoring systems should be configured to detect unusual file processing patterns or memory access violations. Input validation should be enhanced at multiple layers, including file format validation and size checking before processing. Security teams should also consider implementing sandboxing techniques for image processing operations and establishing robust incident response procedures for potential exploitation attempts. The vulnerability serves as a reminder of the critical importance of input validation and memory safety in image processing libraries, particularly those used in enterprise environments where image data may originate from untrusted sources.