Memory corruption in libjxl decoder grayscale color transformation with LCMS2
CVE-2026-1837 is a memory-corruption vulnerability in libjxl's decoder triggered by a specially crafted image file. The flaw occurs when the decoder performs color transformation of grayscale images to another grayscale color space while using LCMS2 as the color management system (CMS) engine. In this code path, buffers allocated for 1 float per pixel are incorrectly treated as though they were allocated for 3 floats per pixel, causing pixel data to be written into uninitialized and unallocated memory. Shortly afterward, data from another uninitialized and unallocated region is copied into pixel data buffers. The issue affects software that embeds or links against vulnerable libjxl code, including Apple software via AppleJPEG as noted in Apple advisories.
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Exploits
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No public exploit code observed for this vulnerability.
Affected products & vendors
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Recent activity
12 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
An open-source vulnerability affecting Apple software on macOS Tahoe where processing a maliciously crafted image may lead to denial-of-service.
A third-party open source vulnerability affecting Apple TV software where processing a maliciously crafted image may cause denial-of-service.
A third-party open source vulnerability affecting Apple software that could allow a maliciously crafted image to cause a denial-of-service.
A third-party assigned open source vulnerability affecting Apple software that could allow a maliciously crafted image to trigger denial-of-service.
The version that knows your environment.
Query your assets running an affected version, and investigate the blast radius.
Every observed campaign linking this CVE to a named adversary.
Malware families riding this exploit, with evidence and IOCs.
YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.
Cross-references every affected SKU, including bundled OEM variants.
Community discussion across Reddit, Mastodon, and other social sources.