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Advisory severityHigh7.5Red Hat Linux

High [CVE-2026-112390] Denial of Service via infinite loop during crafted MIC image parsing

This high-severity Red Hat Linux advisory covers CVE-2026-112390; related products: Exploit Intelligence, Lightspeed Core, OpenShift Lightspeed.

Aggregated and source-linked by VulniPulse. Data sources, validation and limitations.

CVE-2026-112390 Source published Source updated

VulniPulse record published Record updated

CVE-2026-112390
Related products & platforms
Red Hat LinuxRed Hat Enterprise Linux
Open source advisory

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Summary

Denial of Service via infinite loop during crafted MIC image parsing. Red Hat rates this important (CVSS 7.5).

Weakness: CWE-835. Red Hat lists fixing advisory RHSA-2026:92861 with package python3.12-pillow-0:13.0.0-1.el9pc, rhoai/odh-openvino-model-server-rhel9:1792683954, rhoai/odh-training-rocm64-torch29-py312-rhel9:1792890009, rhoai/odh-training-cuda128-torch29-py312-rhel9:1792890022.

Affected products named by the advisory: Exploit Intelligence; Lightspeed Core; OpenShift Lightspeed; Red Hat AI Inference Server; and 8 more.

Affected products named by the advisory: Red Hat Ansible Automation Platform 2; Red Hat Enterprise Linux 8; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat Lightspeed Services for OCP; and 4 more.

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 13 days ago·verify at source

Fixed versions
  • python3.12-pillow-0:13.0.0-1.el9pc
  • rhoai/odh-openvino-model-server-rhel9:1792683954
  • rhoai/odh-training-rocm64-torch29-py312-rhel9:1792890009
  • rhoai/odh-training-cuda128-torch29-py312-rhel9:1792890022
  • RHSA-2026:92861

Official advisory · high-confidence parse· fetched 13 days ago·verify at source

Mitigation checklist

Recommended fix / mitigation
  • --- CME Mitigation Guidance (2026-10-20) --- Disclaimer: The following mitigation solutions are provided as a courtesy, pending the application of an official patch. This content was generated utilizing AI tools in conjunction with data from https://cmetaxonomy.org. Customers are advised to independently evaluate and test these temporary mitigations within their own infrastructure. The highest-value action is to prevent Pillow from enumerating or extracting frames from untrusted Microsoft Image Composer (MIC) files when olefile is installed: upgrade to Pillow 13.0.0 (or the fixed Python Pillow/Python3.11 Pillow/Rhoai/Odh Openvino Model Server Rhel/Rhelai3/Bootc Cuda Rhel/Rhelai3/Bootc Gaudi Rhel/Rhelai3/Bootc Rocm Rhel/Rhelai3/Disk Image Cuda Rhel/Python3X Pillow/Rhaiis/Vllm Spyre Rhel/Rhoai/Odh Kserve Storage Initializer Rhel/Rhoai/Odh Kserve Agent Rhel/Rhoai/Odh Kserve Controller Rhel/Rhoai/Odh Kserve Router Rhel/Rhoai/Odh Feature Server Rhel/Rhoai/Odh Trustyai Nemo Guardrails Server Rhel/Rhaiis/Vllm Tpu Rhel/Rhoai/Odh Training Cuda128 Torch29 Py312 Rhel/Rhoai/Odh Training Rocm64 Torch29 Py312 Rhel/Rhaiis/Vllm Cpu Rhel/Rhaiis/Vllm Neuron Rhel/Ansible Automation Platform 25/Lightspeed Chatbot Rhel/Openshift Lightspeed/Lightspeed Ocp Rag Rhel/Rhoai/Odh Th06 Cpu Torch291 Py312 Rhel/Rhoai/Odh Th06 Cuda130 Torch291 Py312 Rhel/Rhoai/Odh Vllm Gaudi Rhel/Python3.12 Pillow/Rhaii/Vllm Gaudi Rhel/Rhaii/Vllm Neuron Rhel/Rhaii/Vllm Tpu Rhel/Lightspeed Core/Lightspeed Stack Rhel/Rhoai/Odh Kserve Autogluon Server Rhel/Rhai Early Access/Docling Sdk Cuda Rhel/Rhai Early Access/Docling Serve Cuda Rhel/Rhoai/Odh Llm D Kv Cache Rhel/Rhoai/Odh Th06 Cpu Torch210 Py312 Rhel/Rhoai/Odh Th06 Cuda130 Torch210 Py312 Rhel/Rhoai/Odh Th06 Rocm64 Torch291 Py312 Rhel/Rhoai/Odh Workbench Jupyter Pytorch Llmcompressor Cuda Py312 Rhel/Ask Sre/Rhel Cla/Rlsapi Rhel/Rhaiis/Model Opt Cuda Rhel/Rhaiis/Vllm Cuda Rhel/Rhaiis/Vllm Rocm Rhel/Rhaii/Model Opt Cuda Rhel/Rhaii/Vllm Cpu Rhel/Rhaii/Vllm Cuda Rhel/Rhaii/Vllm Rocm Rhel/Rhaii/Vllm Spyre Rhel/Ansible Automation Platform/Automation Dashboard Rhel/Ansible Automation Platform 26/Hub Rhel/Ansible Automation Platform 26/Lightspeed Chatbot Rhel/Ansible Automation Platform 27/Hub Rhel/Ansible Automation Platform 27/Lightspeed Chatbot Rhel/Galaxy Ng/Automation Hub Container/Aap Rag Content/Ansible Chatbot Stack/Koku Report Emailer/Exploit Intelligence/Vulnerability Analysis Rhel/Insights Host Inventory/Google Lightspeed Agent/Lscore Deploy/Lightspeed Core/Rag Tool Cpu Rhel/Lightspeed Core/Rag Tool Cuda 12.9 Rhel/Lightspeed Services Ocp/Ocp Rules Rhel/Openshift Lightspeed Tech Preview/Lightspeed Rag Tool Rhel/Openshift Lightspeed/Lightspeed Service Api Rhel/Rhoai/Odh Caikit Tgis Serving Rhel/Rhoai/Odh Llama Stack Core Rhel/Rhoai/Odh Pipeline Runtime Pytorch Llmcompressor Cuda Py312 Rhel/Rhoai/Odh Automl Rhel/Rhoai/Odh Autorag Rhel/Rhoai/Odh Mlflow Rhel/Rhoai/Odh Pipeline Runtime Datascience Cpu Py312 Rhel/Rhoai/Odh Pipeline Runtime Pytorch Cuda Py312 Rhel/Rhoai/Odh Pipeline Runtime Pytorch Rocm Py312 Rhel/Rhoai/Odh Pipeline Runtime Tensorflow Cuda Py312 Rhel/Rhoai/Odh Pipeline Runtime Tensorflow Rocm Py312 Rhel/Rhoai/Odh Trustyai Garak Lls Provider Dsp Rhel/Rhoai/Odh Workbench Codeserver Datascience Cpu Py312 Rhel/Rhoai/Odh Workbench Jupyter Datascience Cpu Py312 Rhel/Rhoai/Odh Workbench Jupyter Pytorch Cuda Py312 Rhel/Rhoai/Odh Workbench Jupyter Pytorch Rocm Py312 Rhel/Rhoai/Odh Workbench Jupyter Tensorflow Cuda Py312 Rhel/Rhoai/Odh Workbench Jupyter Tensorflow Rocm Py312 Rhel/Rhoai/Odh Workbench Jupyter Trustyai Cpu Py312 Rhel/Rhai/Guidellm Rhel/Rhoai/Odh Ogx Core Rhel/Rhoai/Odh Th Torch Cpu Py312 Rhel/Rhoai/Odh Th Torch Cuda Py312 Rhel/Rhoai/Odh Th Torch Rocm Py312 Rhel/Quay/Quay Service Tool/Quay/Quay Rhel/Rhelai3/Bootc Aws Cuda Rhel/Rhelai3/Bootc Azure Cuda Rhel/Rhelai3/Bootc Azure Rocm Rhel/Rhelai3/Bootc Gcp Cuda Rhel builds), which initialize _n_frames in __init__ instead of resetting it in _open(), and avoid re-setting _n_frames and is_animated in _seek() if already set, closing crafted Microsoft Image Composer (MIC) file with an embedded TIFF containing three or more IFDs. Until patched, this is a concern on Applications running Pillow 7.2.0 through 12.3.0 with olefile installed that query n_frames or extract frames from untrusted input, so Reject or sanitize untrusted MIC file uploads at ingestion and avoid calling n_frames or save_all on unverified images in environments where olefile is loaded. As a compensating measure, Impose CPU time limits using ulimit or prlimit to terminate worker processes caught in the non-advancing MIC image parsing loop before system CPU is exhausted and Configure service watchdogs with automatic restart under systemd to detect stalled processes via keep-alives and restore availability. These controls limit blast radius and contain exploitation, but they do not fix the underlying non-advancing frame traversal defect — apply the upstream patch to fully remediate. Highest-impact CME: CME-114 Process Resource Limits (ulimit/prlimit) (medium)

Official advisory · high-confidence parse· fetched 13 days ago·verify at source

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