CyberRota Analysis
AI-GeneratedThe OpenEXRUtil library in specific versions is vulnerable to an out-of-bounds read when processing deep EXR files with non-zero dataWindow origins, potentially leading to application crashes or exposure of adjacent heap memory. This vulnerability poses a significant risk for developers and organizations in the motion picture industry that utilize OpenEXR for image processing, particularly those handling deep images. Immediate prioritization of updates to versions 3.2.11, 3.3.13, or 3.4.14 is recommended to mitigate these risks.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
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Original NVD Description
OpenEXR is the reference implementation and specification for the EXR image file format, widely used in the motion picture industry. In versions through 3.2.10, 3.3.0 through 3.3.12, and 3.4.0 through 3.4.13, the OpenEXRUtil library returns an out-of-bounds pointer from the SampleCountChannel::row() API when a deep image has a non-zero dataWindow origin. The row() accessor is documented as 0-based and computes its address from an internal base that is offset for absolute pixel coordinates, so the two coordinate models conflict whenever dataWindow.min is non-zero. For a deep image whose data window has a large negative vertical origin, row(0) points far outside the allocated sample-count buffer. An application that opens an attacker-controlled deep EXR file and accesses sample counts through row() performs an out-of-bounds read, which can crash the process or, under a controlled heap layout, return adjacent heap memory as sample-count values. This issue is fixed in versions 3.2.11, 3.3.13, and 3.4.14.