<Vulnerability name="CVE-2026-59204">
    <DocumentDistribution xml:lang="en">Copyright © 2012 Red Hat, Inc. All rights reserved.</DocumentDistribution>
    <ThreatSeverity>Important</ThreatSeverity>
    <PublicDate>2026-07-14T15:38:29</PublicDate>
    <Bugzilla id="2500022" url="https://bugzilla.redhat.com/show_bug.cgi?id=2500022" xml:lang="en:us">
Pillow: Pillow: Denial of Service via crafted JPEG2000 image
    </Bugzilla>
    <CVSS3 status="draft">
        <CVSS3BaseScore>7.5</CVSS3BaseScore>
        <CVSS3ScoringVector>CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H</CVSS3ScoringVector>
    </CVSS3>
    <CWE>CWE-131</CWE>
    <Details xml:lang="en:us" source="Mitre">
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.
    </Details>
    <Details xml:lang="en:us" source="Red Hat">
A flaw was found in Pillow, a Python imaging library. 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.
    </Details>
    <Statement xml:lang="en:us">
The impact is limited to denial of service via excessive memory allocation. A crafted JPEG2000 file can trigger out-of-memory failures, but this does not lead to code execution or information disclosure.
    </Statement>
    <Mitigation xml:lang="en:us">
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.
    </Mitigation>
    <PackageState cpe="cpe:/a:redhat:exploit_intelligence:0">
        <ProductName>Exploit Intelligence</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>exploit-intelligence-tech-preview/vulnerability-analysis-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:lightspeed_core">
        <ProductName>Lightspeed Core</ProductName>
        <FixState>Affected</FixState>
        <PackageName>lightspeed-core/lightspeed-stack-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:lightspeed_core">
        <ProductName>Lightspeed Core</ProductName>
        <FixState>Affected</FixState>
        <PackageName>lightspeed-core/rag-tool-cpu-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:lightspeed_core">
        <ProductName>Lightspeed Core</ProductName>
        <FixState>Affected</FixState>
        <PackageName>lightspeed-core/rag-tool-cuda-12.9-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_lightspeed">
        <ProductName>OpenShift Lightspeed</ProductName>
        <FixState>Not affected</FixState>
        <PackageName>openshift-lightspeed/lightspeed-ocp-rag-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_lightspeed">
        <ProductName>OpenShift Lightspeed</ProductName>
        <FixState>Affected</FixState>
        <PackageName>openshift-lightspeed/lightspeed-service-api-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_lightspeed">
        <ProductName>OpenShift Lightspeed</ProductName>
        <FixState>Not affected</FixState>
        <PackageName>openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhaii/model-opt-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhaiis/model-opt-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Will not fix</FixState>
        <PackageName>rhaiis/vllm-cpu-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhaiis/vllm-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Will not fix</FixState>
        <PackageName>rhaiis/vllm-neuron-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhaiis/vllm-rocm-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhaiis/vllm-spyre-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Will not fix</FixState>
        <PackageName>rhaiis/vllm-tpu-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhaii/vllm-cpu-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhaii/vllm-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Will not fix</FixState>
        <PackageName>rhaii/vllm-gaudi-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Will not fix</FixState>
        <PackageName>rhaii/vllm-neuron-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhaii/vllm-rocm-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhaii/vllm-spyre-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Will not fix</FixState>
        <PackageName>rhaii/vllm-tpu-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>ansible-automation-platform-25/lightspeed-chatbot-rhel8</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>ansible-automation-platform-26/hub-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>ansible-automation-platform-26/lightspeed-chatbot-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>ansible-automation-platform-27/hub-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>ansible-automation-platform-27/lightspeed-chatbot-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>ansible-automation-platform/automation-dashboard-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>python-pillow</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/o:redhat:enterprise_linux:7">
        <ProductName>Red Hat Enterprise Linux 7</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>python-pillow</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/o:redhat:enterprise_linux:8">
        <ProductName>Red Hat Enterprise Linux 8</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>python-pillow</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhelai3/bootc-aws-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhelai3/bootc-azure-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhelai3/bootc-azure-rocm-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhelai3/bootc-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhelai3/bootc-gaudi-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhelai3/bootc-gcp-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhelai3/bootc-rocm-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhelai3/disk-image-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-automl-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-autorag-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-caikit-nlp-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-caikit-tgis-serving-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-kserve-agent-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-kserve-autogluon-server-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-kserve-controller-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-kserve-router-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-kserve-storage-initializer-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-llama-stack-core-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-llm-d-inference-scheduler-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-llm-d-kv-cache-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-mlflow-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-openvino-model-server-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-th06-cpu-torch210-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Not affected</FixState>
        <PackageName>rhoai/odh-th06-cpu-torch291-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-th06-cuda130-torch210-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Not affected</FixState>
        <PackageName>rhoai/odh-th06-cuda130-torch291-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-th06-rocm64-torch291-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-training-cuda128-torch29-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-training-rocm64-torch29-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-trustyai-garak-lls-provider-dsp-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Not affected</FixState>
        <PackageName>rhoai/odh-trustyai-nemo-guardrails-server-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-vllm-gaudi-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Affected</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:quay:3">
        <ProductName>Red Hat Quay 3</ProductName>
        <FixState>Affected</FixState>
        <PackageName>quay/quay-rhel8</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:quay:3">
        <ProductName>Red Hat Quay 3</ProductName>
        <FixState>Affected</FixState>
        <PackageName>quay/quay-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:satellite:6">
        <ProductName>Red Hat Satellite 6</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>python-pillow</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:satellite:6">
        <ProductName>Red Hat Satellite 6</ProductName>
        <FixState>Under investigation</FixState>
        <PackageName>satellite:el8/python-pillow</PackageName>
    </PackageState>
    <References xml:lang="en:us">
https://www.cve.org/CVERecord?id=CVE-2026-59204
https://nvd.nist.gov/vuln/detail/CVE-2026-59204
https://github.com/python-pillow/Pillow/commit/13ada41172142f2fd9f0906f615a00ea623a11ca
https://github.com/python-pillow/Pillow/pull/9704
https://github.com/python-pillow/Pillow/releases/tag/12.3.0
https://github.com/python-pillow/Pillow/security/advisories/GHSA-vjc4-5qp5-m44j
    </References>
</Vulnerability>