CVE-2026-59204
CVE-2026-59204: 1 tracked advisory record across Red Hat. Compare vendor sources and published fix guidance.
Compare the source-linked records below. Ratings and product/version details belong to each advisory; they are not a single CVE-wide score or proof that every listed product is affected. How VulniPulse collects and checks evidence.
Vendor advisory comparison
Red Hat
1 advisory- Advisory severityHigh7.5
High [CVE-2026-59204] Denial of Service via crafted JPEG2000 image
CVE-2026-59204Source published Source updated
Pillow is a Python imaging library. From 8.2.0 through 12.2.0, src/libImaging/Jpeg2KDecode.c accumulates total_component_width across every tile in a JPEG2000 image instead of recomputing it per tile, allowing a crafted tiled JPEG2000 file to force substantially higher transient memory usage and trigger out-of-memory failures during decoding. This issue is fixed in version 12.3.0. A remote attacker could exploit this vulnerability by providing a specially crafted JPEG2000 image file. Due to incorrect calculation of memory requirements for image tiles, processing this file can lead to excessive memory consumption, resulting in a denial of service (DoS) through out-of-memory failures. The impact is limited to denial of service via excessive memory allocation. A crafted JPEG2000 file can…
- Affected products in this advisory
- Red Hat AI Inference Server 3.2
- Red Hat AI Inference Server 3.3
- Red Hat AI Inference Server 3.4
- Red Hat Enterprise Linux AI 3.3
13 more entries in the full advisory.
- Source-reported affected versions
- 8.2.0
- 12.2.0
- Source-reported fixed versions
- 12.3.0
- rhaiis/vllm-cuda-rhel9:1787860580
- rhaiis/model-opt-cuda-rhel9:1787772157
- rhaiis/vllm-rocm-rhel9:1787884873
46 more entries in the full advisory.
- Mitigation guidance
- If the application does not need JPEG2000 support, block .jp2, .j2k, .jpf, and .jpx uploads at the input layer. For services that do process JPEG2000, set memory limits on the process or container (LimitAS= in systemd, or memory limits in Kubernetes/Podman) so a crafted image can only crash the worker, not the whole host. Add automatic restarts (Restart=always in systemd, or container restart policies) so the service recovers from OOM kills without someone having to intervene.
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