CVE-2025-57803
C# vulnerability analysis and mitigation

Overview

A critical vulnerability (CVE-2025-57803) was discovered in ImageMagick's BMP encoder affecting 32-bit builds prior to versions 7.1.2-2 and 6.9.13-28. The vulnerability stems from a 32-bit integer overflow in the BMP encoder's scanline-stride computation, which causes the bytesperline (stride) value to collapse to a small value while the per-row writer continues to emit larger amounts of data. This vulnerability was discovered and disclosed on August 26, 2025 (GitHub Advisory).

Technical details

The vulnerability occurs in the WriteBMPImage function where a 32-bit integer overflow happens during the scanline-stride computation. The issue manifests when processing images with a width of at least 178,956,970 pixels, causing the bytesperline calculation to overflow and produce an incorrectly small value. The vulnerability has received a CVSS v3.1 base score of 8.8 HIGH (NIST NVD) and 7.5 HIGH (GitHub), with the vector string CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H. The vulnerability is classified under CWE-190 (Integer Overflow) and CWE-122 (Heap-based Buffer Overflow) (NVD).

Impact

When exploited, this vulnerability allows attackers to perform heap corruption with attacker-controlled bytes, potentially leading to remote code execution in common auto-convert pipelines. The vulnerability is particularly dangerous in scenarios where user-supplied images are automatically converted or processed server-side, such as web applications using ImageMagick in file upload pipelines, automated thumbnail generators, and content management systems (Security Online).

Mitigation and workarounds

The vulnerability has been patched in ImageMagick versions 6.9.13-28 and 7.1.2-2. Users running 32-bit builds must upgrade immediately to these versions or later. While 64-bit builds are immune to this specific integer overflow, the maintainers recommend implementing additional checks to guard against future DoS scenarios (GitHub Advisory).

Additional resources


SourceThis report was generated using AI

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