High [CVE-2026-59200] Denial of service via crafted PDF stream
This high-severity Red Hat Linux advisory covers CVE-2026-59200 affecting Red Hat AI Inference Server 3.3, Red Hat OpenShift AI 3.4, Red Hat Quay 3.12.
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Summary
Pillow is a Python imaging library. From 5.1.0 until 12.3.0, PdfParser.
PdfStream.decode() in PIL/PdfParser.py calls zlib.decompress() with bufsize set to the PDF stream Length field without bounding the decompressed output size, allowing a crafted FlateDecode PDF stream to exhaust memory from a small file. This issue is fixed in version 12.3.0.
By providing a specially designed PDF file, the attacker could cause the application to exhaust available memory, leading to a denial of service (DoS). The impact is limited to denial of service via memory exhaustion.
A small crafted PDF input can force unbounded decompression, but this does not lead to code execution or information disclosure. 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-409. Affected Red Hat products: Red Hat AI Inference Server 3.3; Red Hat OpenShift AI 3.4; Red Hat Quay 3.1; Red Hat Quay 3.12; Red Hat Quay 3.15; 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 Quay 3.
Under investigation: Exploit Intelligence; Red Hat Ansible Automation Platform 2; Red Hat Enterprise Linux 7; Red Hat Enterprise Linux 8; Red Hat Satellite 6. Will not fix / out of support: Red Hat AI Inference Server.
Affected versions
No affected-version range was extracted from the source record. The vendor advisory is authoritative — check it before change work.
Official advisory · high-confidence parse· fetched 5 days ago·verify at source
- 12.3.0
- rhaiis/model-opt-cuda-rhel9:1787601159
- 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
- rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9:1787073546
- rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9:1787073717
- rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9:1787073713
- rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9:1787073593
- quay/quay-rhel8:1786395065
- quay/quay-rhel8:1786170635
- quay/quay-rhel8:1785261506
- quay/quay-rhel8:1785950004
- RHSA-2026:59518
- RHSA-2026:60520
- RHSA-2026:53520
- RHSA-2026:52968
- RHSA-2026:48933
- RHSA-2026:50931
Official advisory · high-confidence parse· fetched 5 days ago·verify at source
Mitigation checklist
- Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.
Official advisory · high-confidence parse· fetched 5 days ago·verify at source
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