CVE-2017-12596 in OpenEXR
Summary
by MITRE
In OpenEXR 2.2.0, a crafted image causes a heap-based buffer over-read in the hufDecode function in IlmImf/ImfHuf.cpp during exrmaketiled execution; it may result in denial of service or possibly unspecified other impact.
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Analysis
by VulDB Data Team • 12/15/2022
The vulnerability CVE-2017-12596 represents a critical heap-based buffer over-read flaw in OpenEXR version 2.2.0 that specifically affects the hufDecode function within the IlmImf/ImfHuf.cpp file. This issue occurs during the execution of the exrmaketiled utility, which is part of the OpenEXR image processing framework widely used in professional visual effects and animation production. The vulnerability arises when processing specially crafted image files that contain malformed Huffman encoding data, creating a scenario where the decompression routine reads beyond the allocated heap memory boundaries. The root cause stems from inadequate input validation and bounds checking within the Huffman decoding algorithm implementation, allowing attackers to manipulate memory access patterns through carefully constructed input data.
The technical exploitation of this vulnerability demonstrates a classic buffer over-read condition that falls under CWE-125, which specifically addresses out-of-bounds read vulnerabilities in software implementations. When the hufDecode function processes malformed input data, it fails to properly validate the length of the Huffman code sequences against the allocated buffer space, leading to memory corruption that can manifest in various ways including application crashes, memory corruption, or potentially more severe consequences depending on the execution environment. The impact extends beyond simple denial of service since the over-read could potentially expose sensitive memory contents or enable further exploitation techniques. The vulnerability operates at the intersection of image processing security and memory safety, where the complex data structures used in high dynamic range image formats create multiple attack surfaces for buffer overflows.
The operational impact of CVE-2017-12596 presents significant risks to organizations relying on OpenEXR for professional image processing workflows, particularly in animation studios, visual effects houses, and digital content creation environments. Attackers could leverage this vulnerability to disrupt production pipelines by causing the exrmaketiled utility to crash, thereby halting critical image processing operations. The vulnerability also aligns with ATT&CK technique T1203, which involves exploiting weaknesses in software to gain unauthorized access or cause system disruption. In practical scenarios, this could lead to substantial downtime during critical production phases, potentially resulting in missed deadlines and financial losses. The vulnerability's presence in a widely-used image processing library means that any system processing OpenEXR files through the affected utility is at risk, creating a broad attack surface across the entertainment and media industries.
Mitigation strategies for this vulnerability should prioritize immediate patching of OpenEXR installations to version 2.2.1 or later, which contains the necessary fixes for the buffer over-read condition. Organizations should implement strict input validation policies for all image processing workflows, particularly when handling externally provided or untrusted image files. Network segmentation and access controls should be enforced to limit exposure of systems running exrmaketiled or similar utilities. Additionally, security monitoring should be implemented to detect abnormal process behavior or memory access patterns that might indicate exploitation attempts. The vulnerability highlights the importance of comprehensive security testing for image processing libraries and the need for robust input sanitization in multimedia applications. System administrators should also consider implementing automated patch management processes to ensure timely deployment of security updates, as this vulnerability demonstrates the critical need for maintaining up-to-date software in production environments where image processing workflows are essential for business operations.