CVE-2026-111064
Description
A flaw was found in aiohttp. The server does not enforce a timeout during the initial phase of a request before any data is received. A remote attacker can exploit this vulnerability by keeping idle connections open indefinitely, exhausting available connection capacity and resulting in a Denial of Service (DoS).
Statement
This flaw affects products that run an aiohttp server exposed to untrusted clients. Products that use aiohttp only as an HTTP client are not affected.
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 initial keep-alive timeouts and first-request deadlines on newly established HTTP connections within aiohttp: upgrade to aiohttp 3.14.4 (or the fixed Ansible Automation Platform 24/Lightspeed Rhel/Rhoai/Odh Caikit Tgis Serving Rhel/Python3.11 Aiohttp/Koku/Exploit Intelligence/Vulnerability Analysis Rhel/Rhoai/Odh Trustyai Nemo Guardrails Server Rhel/Rhoai/Odh Kserve Storage Initializer Rhel/Rhoai/Odh Kserve Agent Rhel/Rhoai/Odh Kserve Controller Rhel/Rhoai/Odh Kserve Router Rhel/Rhaiis/Vllm Spyre Rhel/Rhaiis/Vllm Tpu Rhel/Cloudservices/Vulnerability Engine App/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 Workbench Jupyter Datascience Cpu Py312 Rhel/Rhoai/Odh Workbench Jupyter Pytorch Cuda Py312 Rhel/Rhoai/Odh Workbench Jupyter Pytorch Llmcompressor 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/Rhaiis/Vllm Cpu Rhel/Rhaiis/Vllm Neuron Rhel/Ansible Automation Platform 24/Controller Rhel/Ansible Automation Platform 25/Lightspeed Chatbot Rhel/Cloudservices/Insights Engine/Rhoai/Odh Ml Pipelines Runtime Generic Rhel/Rhoai/Odh Autorag Rhel/Rhoai/Odh Ta Lmes Job Rhel/Rhoai/Odh Th06 Cpu Torch291 Py312 Rhel/Rhoai/Odh Th06 Cuda130 Torch291 Py312 Rhel/Rhoai/Odh Training Cuda128 Torch29 Py312 Rhel/Rhoai/Odh Training Rocm64 Torch29 Py312 Rhel/Rhoai/Odh Vllm Gaudi Rhel/Rhai Early Access/Docling Serve Cuda Rhel/Automation Controller/Cloudservices/Floorist/Openshift Lightspeed/Lightspeed Ocp Rag Rhel/Rhoai/Odh Model Registry Job Async Upload Rhel/Rhaii/Vllm Gaudi Rhel/Rhaii/Vllm Neuron Rhel/Rhaii/Vllm Tpu Rhel/Rhoai/Odh Openvino Model Server Rhel/Rhoai/Odh Automl Rhel/Rhoai/Odh Kserve Autogluon Server Rhel/Rhoai/Odh Mlflow 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/Ask Sre/Rhelai3/Bootc Gaudi Rhel/Ansible Automation Platform Tech Preview/Ee Minimal Rhel/Rhoai/Odh Training Cuda121 Torch24 Py311 Rhel/Rhoai/Odh Training Cuda124 Torch25 Py311 Rhel/Rhoai/Odh Training Cuda128 Torch28 Py312 Rhel/Rhoai/Odh Training Rocm62 Torch24 Py311 Rhel/Rhoai/Odh Training Rocm62 Torch25 Py311 Rhel/Rhoai/Odh Training Rocm64 Torch28 Py312 Rhel/Rhoai/Odh Trustyai Garak Lls Provider Dsp Rhel/Astro Virtual Assistant V/Lightspeed Core/Lightspeed Stack Rhel/Lightspeed Core/Rag Tool Cuda 12.9 Rhel/Mta/Mta Solution Server Rhel/Rhoai/Odh Feature Server Rhel/Rhoai/Odh Llama Stack Core Rhel/Rhoai/Odh Pipeline Runtime Pytorch Llmcompressor Cuda Py312 Rhel/Rhoai/Odh Mlserver Rhel/Rhai/Guidellm Rhel/Rhoai/Odh Pipeline Runtime Minimal Cpu Py312 Rhel/Rhoai/Odh Th Torch Cpu Py312 Rhel/Rhoai/Odh Th Torch Cuda Py312 Rhel/Rhoai/Odh Th Torch Rocm Py312 Rhel/Rhoai/Odh Workbench Jupyter Minimal Cpu Py312 Rhel/Rhoai/Odh Workbench Jupyter Minimal Cuda Py312 Rhel/Rhoai/Odh Workbench Jupyter Minimal Rocm Py312 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 25/Controller Rhel/Ansible Automation Platform 25/Lightspeed Rhel/Ansible Automation Platform 26/Ansible Dev Tools Rhel/Ansible Automation Platform 26/Controller Rhel/Ansible Automation Platform 26/De Minimal Rhel/Ansible Automation Platform 26/De Supported Rhel/Ansible Automation Platform 26/Ee Minimal Rhel/Ansible Automation Platform 26/Ee Supported Rhel/Ansible Automation Platform 26/Hub Rhel/Ansible Automation Platform 26/Lightspeed Chatbot Rhel/Ansible Automation Platform 26/Lightspeed Rhel/Ansible Automation Platform 26/Platform Resource Runner Rhel/Ansible Automation Platform 27/Controller Rhel/Ansible Automation Platform 27/De Minimal Rhel/Ansible Automation Platform 27/De Supported Rhel/Ansible Automation Platform 27/Ee Control Plane Rhel/Ansible Automation Platform 27/Ee Minimal Rhel/Ansible Automation Platform 27/Ee Supported Rhel/Ansible Automation Platform 27/Hub Rhel/Ansible Automation Platform 27/Lightspeed Chatbot Rhel/Ansible Automation Platform 27/Lightspeed Rhel/Ansible Automation Platform 27/Platform Resource Runner Rhel/Ansible Automation Platform/Ee Minimal Rhel/Galaxy Ng/Automation Hub Container/Redhat User Workloads/Ansible Saas Ee/Ansible On Clouds/Gh Action Runner/Ansible Ai Connect Service/Insights Engine/Cloudservices/Subscription Central Automation/Google Lightspeed Agent/Lscore Deploy/Vulnerability Engine/Cloudservices/Sha Extractor/Lightspeed Core/Rag Tool Cpu Rhel/Openshift Lightspeed Tech Preview/Lightspeed Rag Tool Rhel/Openshift Lightspeed/Lightspeed Service Api Rhel/Rhoai/Odh Caikit Nlp Rhel/Rhoai/Odh Mlserver Cuda Rhel/Rhoai/Odh Workbench Codeserver Datascience Cpu Py312 Rhel/Discovery/Discovery Server Rhel/Rhelai3/Bootc Aws Cuda Rhel/Rhelai3/Bootc Azure Cuda Rhel/Rhelai3/Bootc Azure Rocm Rhel/Rhelai3/Bootc Cuda Rhel/Rhelai3/Bootc Gcp Cuda Rhel/Rhelai3/Bootc Rocm Rhel/Satellite/Iop Insights Engine Rhel/Satellite/Iop Vulnerability Engine Rhel/Python3.12 Aiohttp/Python Aiohttp/Insights Host Inventory/Aap Rag Content/Ansible Chatbot Stack/Aoc/Ee Aap Azure Sre/Ansible On Clouds/Aoc Utility/Redhat User Workloads/Release Service Utils Standalone/Lightspeed Services Ocp/Ocp Rules Rhel/App Sre/Managed Prometheus Exporter Initcontainer/App Sre/Managed Prometheus Exporter Base/Python3X Aiohttp builds), which schedule an initial keep-alive timeout check in connection_made() when keepalive_timeout is greater than zero, lower the default keepalive_timeout from 3630 to 75.0 seconds, and enforce a first-request deadline, closing all 2 injection vectors (idle TCP connections opened without sending request data, trickling partial request data before the first complete HTTP request). Until patched, this is a concern on aiohttp HTTP server deployments directly exposed to network traffic without intermediate timeout enforcement, so place aiohttp instances behind a reverse proxy that actively enforces connection read and idle timeouts before requests arrive. As a compensating measure, configure systemd WatchdogSec and automatic restart directives to monitor daemon responsiveness and restart the aiohttp service if connection exhaustion halts health checks. These controls limit blast radius and contain exploitation, but they do not fix the underlying missing initial request timeout defect — apply the upstream patch to fully remediate.
Highest-impact CME: CME-906 Rate Limiting / Connection Throttling (high)
Common Vulnerability Scoring System (CVSS) Score Details
Info alert:Important note
CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).
CVSS v3 Score Breakdown
| Red Hat | NVD | cve.org | |
|---|---|---|---|
| Base Score | 7.5 | N/A | N/A |
| Attack Vector | Network | N/A | N/A |
| Attack Complexity | Low | N/A | N/A |
| Privileges Required | None | N/A | N/A |
| User Interaction | None | N/A | N/A |
| Scope | Unchanged | N/A | N/A |
| Confidentiality | None | N/A | N/A |
| Integrity Impact | None | N/A | N/A |
| Availability Impact | High | N/A | N/A |
Vector
Red Hat: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Understanding the Weakness (CWE)
Availability
Technical Impact: DoS: Resource Consumption (Other); DoS: Resource Consumption (Memory); DoS: Resource Consumption (CPU)
An attacker that can influence the allocation of resources that are not properly released could deplete the available resource pool and prevent all other processes from accessing the same type of resource. Frequently-affected resources include memory, CPU, disk space, power or battery, etc.
Frequently Asked Questions
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