High [CVE-2026-59205] Controlled native heap corruption in ImageCms.ImageCmsTransform.apply API
This high-severity Red Hat Linux advisory covers CVE-2026-59205 affecting Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.3, Red Hat AI Inference Server 3.4.
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Summary
Pillow is a Python imaging library. Prior to 12.3.0, Pillow's ImageCms.ImageCmsTransform.apply(im, imOut) API can trigger controlled native heap corruption when the caller supplies an output image whose mode does not match the transform's declared output mode.
This issue is fixed in version 12.3.0. This can lead to a denial of service (DoS) condition, making the affected system or application unavailable.
While the underlying issue is heap corruption via mode mismatch, it does not provide a controlled write primitive exploitable for code execution in affected Red Hat products. Red Hat severity: Important — CVSS 7.5 (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).
Weakness: CWE-843.
Affected Red Hat products: 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; Red Hat OpenShift AI 3.3; Red Hat OpenShift AI 3.4; Red Hat Quay 3.10; Red Hat Quay 3.12; Red Hat Quay 3.14; Red Hat Quay 3.15; Red Hat Quay 3.16; Red Hat Quay 3.9; Lightspeed Core; OpenShift Lightspeed; Red Hat AI Inference Server; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI).
Red Hat lists Exploit Intelligence; OpenShift Lightspeed; Red Hat Ansible Automation Platform 2; Red Hat Enterprise Linux 7; Red Hat Enterprise Linux 8; Red Hat OpenShift AI (RHOAI); Red Hat Satellite 6 as not affected.
- < 12.3.0
Official advisory · high-confidence parse· fetched 18 days ago·verify at source
- 12.3.0
- rhaiis/vllm-cuda-rhel9:1787860580
- rhaiis/model-opt-cuda-rhel9:1787772157
- rhaiis/vllm-rocm-rhel9:1787884873
- rhaiis/model-opt-cuda-rhel9:1787601159
- rhaii/vllm-spyre-rhel9:1789681201
- rhaii/vllm-cpu-rhel9:1789681128
- rhaii/vllm-cuda-rhel9:1789681126
- rhaii/model-opt-cuda-rhel9:1789681126
- rhaii/vllm-rocm-rhel9:1789681126
- rhaii/vllm-cpu-rhel9:1790075793
- rhaii/vllm-spyre-rhel9:1790076141
- rhaii/vllm-cuda-rhel9:1790090131
- rhaii/vllm-rocm-rhel9:1790109620
- rhaii/model-opt-cuda-rhel9:1790076498
- rhelai3/disk-image-cuda-rhel9:1788290314
- rhelai3/bootc-aws-cuda-rhel9:1788273908
- rhelai3/bootc-azure-cuda-rhel9:1788273909
- rhelai3/bootc-cuda-rhel9:1788260684
- rhelai3/bootc-gcp-cuda-rhel9:1788273977
- rhoai/odh-llm-d-inference-scheduler-rhel9:1789662430
- rhoai/odh-automl-rhel9:1786612415
- rhoai/odh-autorag-rhel9:1786612637
- rhoai/odh-llm-d-kv-cache-rhel9:1787169432
- rhoai/odh-mlflow-rhel9:1787226790
- rhoai/odh-openvino-model-server-rhel9:1787303251
- rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9:1787073866
- rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9:1787073873
- rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9:1787073459
- rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9:1787073611
- rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9:1787073451
- rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9:1787073451
- rhoai/odh-th06-cpu-torch210-py312-rhel9:1787076778
- rhoai/odh-th06-cuda130-torch210-py312-rhel9:1787077779
- rhoai/odh-th06-rocm64-torch291-py312-rhel9:1787076481
- rhoai/odh-training-cuda128-torch29-py312-rhel9:1786611803
- rhoai/odh-training-rocm64-torch29-py312-rhel9:1786611435
- rhoai/odh-trustyai-garak-lls-provider-dsp-rhel9:1786613209
- rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9:1787121387
- rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1787074331
- rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9:1787073605
- RHSA-2026:61627
- RHSA-2026:61628
- RHSA-2026:61629
- RHSA-2026:59518
- RHSA-2026:69464
- RHSA-2026:69466
- RHSA-2026:69467
- RHSA-2026:69468
- RHSA-2026:69469
Official advisory · high-confidence parse· fetched 18 days ago·verify at source
Mitigation checklist
- Most applications using Pillow's color management via profileToProfile() or applyTransform() are not exposed. Only code that calls ImageCmsTransform.apply() directly with a user-controlled output image whose mode does not match the transform can trigger the heap corruption. Audit your code for direct apply() calls to confirm. RHEL builds ship with ASLR, full RELRO/PIE, and FORTIFY_SOURCE by default, making escalation from crash to code execution much harder. For DoS containment, configure automatic service restart (Restart=always in systemd, or container restart policies) so the process recovers without manual intervention.
Official advisory · high-confidence parse· fetched 18 days ago·verify at source
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