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CVE-2026-34379 is a misaligned memory write vulnerability in OpenEXR's LossyDctDecoder_execute() function that can cause denial of service and potential memory corruption when decoding DWA or DWAB-compressed EXR files containing FLOAT-type channels. It affects OpenEXR versions 3.2.0–3.2.6, 3.3.0–3.3.8, and 3.4.0–3.4.8. The vulnerability was published on April 6, 2026, and patched the same day with releases 3.2.7, 3.3.9, and 3.4.9. It carries a CVSS v3.1 base score of 7.1 (High) (GitHub Advisory, Red Hat).
The root cause is an incorrect type conversion (CWE-704 / CWE-843) in src/lib/OpenEXRCore/internal_dwa_decoder.h at line 749, where the decoder performs an in-place HALF→FLOAT conversion by casting an unaligned uint8_t * row pointer directly to float * and writing through it. Because DwaCompressor_uncompress() slices the output buffer sequentially per channel without adding alignment padding, a FLOAT channel following a HALF channel (or any channel whose total byte size is not a multiple of 4) receives a _rows[y] pointer that is not 4-byte aligned. This constitutes undefined behavior (CWE-787, CWE-475) under the C standard: on ARM, RISC-V, and MIPS architectures it causes an immediate bus error/crash, while on x86 the hardware tolerates the access but compiler auto-vectorization (SSE/AVX) may generate incorrect code, potentially leading to memory corruption. The fix replaces the direct pointer dereference with a memcpy-based unaligned_store32() helper, consistent with patterns already used elsewhere in the codebase (GitHub Advisory, Red Hat Bugzilla).
The primary impact is a reliable denial of service: any application using OpenEXRCore to decode untrusted EXR files with DWA/DWAB compression and FLOAT-type channels will crash immediately on alignment-enforcing architectures (ARM, RISC-V, MIPS). On x86, the misaligned write succeeds at the hardware level but may cause silent data corruption or, in the presence of compiler auto-vectorization (SSE/AVX), potentially exploitable memory corruption. Confidentiality impact is rated None, integrity impact is Low (due to possible data corruption), and availability impact is High (GitHub Advisory).
.exr file via email attachment, web upload, shared network storage, or any other vector that causes a vulnerable application (e.g., image viewer, VFX pipeline tool, media processor) to open and decode it.exr_decoding_run() → exr_uncompress_chunk() → internal_exr_undo_dwab() → DwaCompressor_uncompress() → LossyDctDecoder_execute().internal_dwa_decoder.h:749, the decoder casts the unaligned uint8_t * row pointer to float * and writes a converted FLOAT value through it, triggering undefined behavior..exr files.internal_dwa_decoder.h:749 such as runtime error: store to misaligned address ... for type 'float', which requires 4 byte alignment; ASAN stack traces showing LossyDctDecoder_execute → DwaCompressor_uncompress → internal_exr_undo_dwab → exr_uncompress_chunk → exr_decoding_run..exr files with DWA/DWAB compression in directories processed by vulnerable applications..exr files to systems running OpenEXR-dependent applications, particularly from untrusted external sources (GitHub Advisory).Upgrade OpenEXR to the patched versions: 3.2.7, 3.3.9, or 3.4.9 depending on your current version branch (OpenEXR v3.2.7, OpenEXR v3.3.9, OpenEXR v3.4.9). As a workaround prior to patching, restrict processing of EXR files to trusted sources only and implement file format validation before parsing. Downstream Linux distributions including openSUSE and Fedora have issued updated packages; users of those distributions should apply available OS-level updates (Red Hat).
Red Hat tracked the vulnerability as high severity in their Bugzilla system and issued a CVE advisory shortly after disclosure (Red Hat, Red Hat Bugzilla). OpenSUSE and Fedora issued security announcements and updated packages for their respective distributions. The vulnerability was detected by multiple commercial scanners including Nessus and Qualys, indicating broad uptake in enterprise vulnerability management programs.
Source: This report was generated using AI
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