Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:H/A:HSummary
CVE-2026-43907 is a high-severity Integer Overflow or Wraparound (CWE-190) vulnerability in Openimageio Openimageio. Its CVSS base score is 8.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 30th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-30410
Vulnerability Data
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…
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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.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V5.2.6
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation (static analysis, fuzzing, unit tests) directly finds integer overflow defects before deployment.
Requiring documented secure-development standards and tools can mandate bounds-checked coding practices that avoid the weakness.
Secure engineering principles require use of safe arithmetic constructs or language features that structurally eliminate integer overflow during calculation.
Input validation enforces bounds on values before arithmetic, stopping the conditions that trigger overflow or wraparound.
Memory-protection mechanisms limit the exploitability and blast radius of a successful out-of-bounds write.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly require use of safe arithmetic, bounds checks, and testing that prevent integer overflows.
Vulnerability scanning and recording can discover out-of-bounds write flaws so they can be remediated.
Patching or replacing vulnerable software directly eliminates known instances of this coding weakness.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development can detect integer overflows before release.
Secure SDLC mandates input validation and arithmetic checks that prevent integer overflows.
Application security requirements include bounds checking and safe arithmetic to avoid overflow conditions.
Secure architecture principles require defensive coding patterns that mitigate integer wraparound risks.
Secure coding standards explicitly forbid unsafe integer operations and mandate overflow-safe constructs.
Change management can enforce review gates that catch unsafe memory operations before deployment.