Skip to content
VulniPulse
Sign in
Advisory severityHigh7.5Red Hat Linux Updated

High [CVE-2026-112399] Denial of service via crafted APNG image

This high-severity Red Hat Linux advisory covers CVE-2026-112399; related products: Exploit Intelligence, Lightspeed Core, OpenShift Lightspeed.

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

CVE-2026-112399 Source published Source updated

VulniPulse record published Record updated

CVE-2026-112399
Related products & platforms
Red Hat LinuxRed Hat Enterprise Linux
Open source advisory

Get an email when Red Hat Linux RHEL & SELinux publishes the next one.

See Red Hat Linux RHEL & SELinux's last 90 days of advisories first. Then choose the free weekly digest, or a free month of real-time alerts with the severity, the fixed version and the vendor's link (card needed, then US$15/month; we email you before the first charge).

Alert me about Red Hat Linux RHEL & SELinux

Summary

Denial of service via crafted APNG image. Red Hat rates this important (CVSS 7.5).

Weakness: CWE-770. 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-kserve-controller-rhel9:1792685196, rhoai/odh-training-rocm64-torch29-py312-rhel9:1792890009.

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
  • < 8.1.0
  • < 13.0.0

Official advisory · high-confidence parse· fetched 12 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-kserve-controller-rhel9:1792685196
  • 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 12 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 enforce decompression bomb validation checks prior to full-canvas memory allocation during initial image parsing in Pillow: 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 call Image._decompression_bomb_check(self.size) immediately after opening each frame to raise DecompressionBombError before allocating frame buffers, closing all 2 injection vectors (crafted APNG image with OP_BACKGROUND disposal, crafted APNG image with first-frame OP_PREVIOUS disposal). Until patched, this is a concern on Applications on any platform opening untrusted image files with Pillow Image.open, so Restrict ingestion of untrusted APNG files and validate image header metadata before passing input to Image.open. As a compensating measure, Monitor memory pressure events and PSI metrics to detect abnormal allocation spikes from oversized canvas sizing, Enforce process address space limits using ulimit or prlimit RLIMIT_AS to restrict maximum memory consumption during parsing, Configure systemd service watchdogs and automatic restarts to restore availability if process termination occurs, and Apply cgroups v2 memory constraints to isolate container or service memory exhaustion and protect host availability. These controls limit blast radius and contain exploitation, but they do not fix the underlying uncontrolled memory allocation defect — apply the upstream patch to fully remediate. Highest-impact CME: CME-1010 cgroup Memory Pressure Monitoring (memory.events / PSI) (medium)

Official advisory · high-confidence parse· fetched 12 days ago·verify at source

More Red Hat Linux advisories

All Red Hat Linux advisories

Android app · Google Play

Monitor future Red Hat Linux CVEs from your phone.

Choose a whole vendor or a precise platform, then receive matching security advisories by phone notification, email, or both. Coverage follows 34 official vendor sources and 160+ reviewed platform categories.

Get CVE alertsSee app features

Discussion(0)

No comments yet. Share field notes, upgrade gotchas, or questions — verify against the vendor advisory before acting on community advice.

Sign in to join the discussion.