Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…

CVE-2025-69223: CWE-409: Improper Handling of Highly Compressed Data (Data Amplification) in aio-libs aiohttp

0
High
VulnerabilityCVE-2025-69223cvecve-2025-69223cwe-409cwe-770
Published: Mon Jan 05 2026 (01/05/2026, 22:00:17 UTC)
Source: CVE Database V5
Vendor/Project: aio-libs
Product: aiohttp

Description

CVE-2025-69223 is a high-severity vulnerability in aiohttp versions prior to 3. 13. 3, an asynchronous HTTP client/server framework for Python. The flaw allows an attacker to send a specially crafted compressed request (a zip bomb) that, when decompressed by the server, can exhaust system memory and cause a denial of service (DoS). This vulnerability does not affect confidentiality or integrity but severely impacts availability. No authentication or user interaction is required, and exploitation can be performed remotely over the network. The issue is fixed in aiohttp version 3. 13. 3. European organizations using vulnerable aiohttp versions in their web services or APIs are at risk of service disruption.

AI-Powered Analysis

AILast updated: 01/13/2026, 00:59:58 UTC

Technical Analysis

CVE-2025-69223 is a vulnerability identified in aiohttp, a popular asynchronous HTTP client/server framework used in Python applications. Versions prior to 3.13.3 are susceptible to a denial-of-service (DoS) attack via a zip bomb, a form of data amplification attack. The vulnerability arises from improper handling of highly compressed data (CWE-409) and inadequate restriction on resource consumption during decompression (CWE-770). An attacker can send a maliciously crafted compressed HTTP request that, when decompressed by the aiohttp server, consumes excessive memory resources, potentially exhausting the host's available memory and causing the server to crash or become unresponsive. This attack vector requires no authentication or user interaction and can be executed remotely over the network. The CVSS v3.1 score of 7.5 reflects the high impact on availability with low attack complexity and no privileges required. Although no known exploits are currently in the wild, the vulnerability poses a significant risk to any aiohttp-based services that accept compressed HTTP requests. The issue was addressed in aiohttp version 3.13.3 by implementing safeguards against excessive resource consumption during decompression.

Potential Impact

For European organizations, this vulnerability can lead to significant service disruptions, especially for those relying on aiohttp for web servers, APIs, or microservices. The DoS attack can cause outages, impacting business continuity, customer trust, and potentially leading to financial losses. Critical sectors such as finance, healthcare, government, and telecommunications that deploy aiohttp-based services are particularly vulnerable to operational interruptions. Additionally, organizations hosting public-facing services may face increased risk from automated or targeted attacks exploiting this flaw. The lack of confidentiality or integrity impact limits data breach concerns, but the availability impact alone can be severe, especially in environments with high availability requirements or strict service-level agreements (SLAs).

Mitigation Recommendations

The primary mitigation is to upgrade all aiohttp deployments to version 3.13.3 or later, where the vulnerability is fixed. Organizations should audit their Python environments to identify and remediate vulnerable aiohttp versions promptly. Additionally, implementing strict limits on decompression resource usage—such as maximum decompressed size, memory usage caps, and request size limits—can reduce the risk of exploitation. Network-level protections like rate limiting, web application firewalls (WAFs) configured to detect anomalous compressed payloads, and anomaly detection systems can provide additional defense layers. Monitoring server memory usage and setting up alerts for unusual spikes can help detect ongoing attacks early. Finally, developers should avoid accepting compressed requests from untrusted sources or implement validation to reject suspicious payloads.

Need more detailed analysis?Upgrade to Pro Console

Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2025-12-29T20:45:58.699Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 695c36383839e44175942eba

Added to database: 1/5/2026, 10:07:52 PM

Last enriched: 1/13/2026, 12:59:58 AM

Last updated: 2/7/2026, 7:50:03 AM

Views: 132

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need more coverage?

Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.

For incident response and remediation, OffSeq services can help resolve threats faster.

Latest Threats