CVE-2025-69228

Description

A flaw was found in aiohttp. A remote attacker can craft a malicious request that, when processed by an aiohttp server using the Request.post() method, causes the server's memory to fill uncontrollably. This can lead to a Denial of Service (DoS) by freezing the server, making it unavailable to legitimate users.

Statement

This vulnerability is rated Moderate for Red Hat products. A flaw in aiohttp allows a remote attacker to cause a Denial of Service (DoS) by sending a specially crafted POST request to an aiohttp server that utilizes the Request.post() method. This can lead to uncontrolled memory consumption, freezing the server and making the server unavailable.

Mitigation

No mitigation is currently available that meets Red Hat Product Security’s standards for usability, deployment, applicability, or stability.

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 HatNVDcve.org
Base Score6.87.5N/A
Attack VectorNetworkNetworkN/A
Attack ComplexityHighLowN/A
Privileges RequiredNoneNoneN/A
User InteractionNoneNoneN/A
ScopeChangedUnchangedN/A
ConfidentialityNoneNoneN/A
Integrity ImpactNoneNoneN/A
Availability ImpactHighHighN/A

Vector

Red Hat: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:N/A:H

NVD: 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 (CPU); DoS: Resource Consumption (Memory); DoS: Resource Consumption (Other)

When allocating resources without limits, an attacker could prevent other systems, applications, or processes from accessing the same type of resource. It can be easy for an attacker to consume many resources by rapidly making many requests or causing larger resources to be used than is needed.

Frequently Asked Questions

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