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CVE-2025-69228: CWE-770: Allocation of Resources Without Limits or Throttling in aio-libs aiohttp

0
Medium
VulnerabilityCVE-2025-69228cvecve-2025-69228cwe-770
Published: Mon Jan 05 2026 (01/05/2026, 23:30:33 UTC)
Source: CVE Database V5
Vendor/Project: aio-libs
Product: aiohttp

Description

AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Versions 3.13.2 and below allow a request to be crafted in such a way that an AIOHTTP server's memory fills up uncontrollably during processing. If an application includes a handler that uses the Request.post() method, an attacker may be able to freeze the server by exhausting the memory. This issue is fixed in version 3.13.3.

AI-Powered Analysis

AILast updated: 01/06/2026, 00:07:43 UTC

Technical Analysis

CVE-2025-69228 is a resource exhaustion vulnerability classified under CWE-770, affecting aiohttp, a popular asynchronous HTTP framework for Python's asyncio library. Versions 3.13.2 and earlier allow an attacker to send specially crafted HTTP POST requests that cause the server to allocate memory without limits or throttling during request processing. Specifically, when an application uses the Request.post() method to handle incoming POST data, the lack of proper input size validation or resource management can lead to uncontrolled memory consumption. This can cause the server to freeze or crash due to memory exhaustion, resulting in a denial of service (DoS) condition. The vulnerability is remotely exploitable without requiring any authentication or user interaction, increasing its risk profile. The CVSS 4.0 base score is 6.6 (medium severity), reflecting the network attack vector, low complexity, no privileges or user interaction needed, and a high impact on availability. The issue was publicly disclosed on January 5, 2026, and fixed in aiohttp version 3.13.3. No known exploits have been reported in the wild yet. Organizations using aiohttp in their Python web applications should upgrade promptly to mitigate this risk.

Potential Impact

For European organizations, this vulnerability can lead to significant service disruptions, especially for those relying on aiohttp-based asynchronous web servers or APIs. Memory exhaustion attacks can cause server freezes or crashes, resulting in denial of service that affects availability and potentially business continuity. Industries with high reliance on real-time or asynchronous web services, such as financial services, e-commerce, and public sector digital services, may experience operational downtime or degraded performance. Additionally, organizations with limited monitoring or resource management controls may find it difficult to detect or mitigate ongoing attacks. While the vulnerability does not directly compromise confidentiality or integrity, the availability impact alone can lead to reputational damage and financial losses. Since aiohttp is widely used in Python web development, the scope of affected systems in Europe is considerable, particularly in countries with strong software development sectors and cloud service adoption.

Mitigation Recommendations

European organizations should immediately upgrade all aiohttp deployments to version 3.13.3 or later to address this vulnerability. In addition to patching, developers should implement strict input validation and size limits on POST request bodies to prevent excessive resource consumption. Deploying rate limiting and connection throttling at the web server or application gateway level can help mitigate potential exploitation attempts. Monitoring memory usage and setting resource quotas for aiohttp processes can provide early detection of abnormal behavior. Employing Web Application Firewalls (WAFs) with rules to detect and block suspicious POST requests may further reduce risk. Organizations should also review their incident response plans to include scenarios involving resource exhaustion attacks. Finally, maintaining an up-to-date inventory of Python dependencies and regularly scanning for vulnerabilities will help prevent similar issues in the future.

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Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2025-12-29T20:53:24.489Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 695c4ed43839e44175990689

Added to database: 1/5/2026, 11:52:52 PM

Last enriched: 1/6/2026, 12:07:43 AM

Last updated: 1/8/2026, 8:40:32 AM

Views: 43

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