CVE-2025-69230: CWE-779: Logging of Excessive Data in aio-libs aiohttp
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. In versions 3.13.2 and below, reading multiple invalid cookies can lead to a logging storm. If the cookies attribute is accessed in an application, then an attacker may be able to trigger a storm of warning-level logs using a specially crafted Cookie header. This issue is fixed in 3.13.3.
AI Analysis
Technical Summary
CVE-2025-69230 is a vulnerability classified under CWE-779 (Logging of Excessive Data) affecting aiohttp, an asynchronous HTTP client/server framework for Python's asyncio library. Versions 3.13.2 and below are vulnerable. The flaw arises when an application accesses the cookies attribute and processes multiple invalid cookies from incoming HTTP requests. An attacker can exploit this by sending a specially crafted Cookie header containing multiple invalid cookies, which causes the aiohttp framework to generate a storm of warning-level log entries. This excessive logging can overwhelm log management systems, degrade application performance, and potentially obscure other critical log messages. The vulnerability does not require any privileges or user interaction, making it remotely exploitable over the network. However, it does not directly allow code execution, data leakage, or denial of service beyond the impact on logging. The issue was addressed in version 3.13.3 of aiohttp, where the logging behavior was corrected to prevent such storms. No known exploits are reported in the wild as of the publication date. The CVSS 4.0 base score is 2.7, reflecting the low impact and ease of exploitation without authentication.
Potential Impact
For European organizations, the primary impact of this vulnerability is operational rather than security-critical. Excessive logging can lead to increased disk usage, potential exhaustion of log storage resources, and performance degradation of affected services. In high-traffic environments, this could cause log management systems to become overwhelmed, potentially delaying or obscuring detection of other security incidents. Organizations relying on aiohttp for web services, APIs, or microservices may experience reduced reliability or increased maintenance overhead. While the vulnerability does not directly compromise sensitive data or system integrity, the indirect effects on monitoring and incident response capabilities could increase risk exposure. Industries with stringent compliance and auditing requirements, such as finance, healthcare, and critical infrastructure, may find this particularly problematic. Prompt patching is essential to maintain operational stability and ensure accurate logging.
Mitigation Recommendations
European organizations should immediately upgrade aiohttp to version 3.13.3 or later to remediate this vulnerability. In addition, review and harden logging configurations to limit the volume and verbosity of logs generated by web frameworks, especially for warning-level messages. Implement rate limiting or filtering on incoming HTTP headers to detect and block suspicious or malformed Cookie headers that could trigger excessive logging. Enhance monitoring of log storage utilization and set alerts for abnormal increases in log volume. Consider deploying Web Application Firewalls (WAFs) to detect and block anomalous HTTP requests with malformed cookies. Conduct regular audits of third-party dependencies to ensure timely application of security patches. Finally, educate development teams on secure handling of HTTP headers and the importance of updating asynchronous frameworks promptly.
Affected Countries
Germany, United Kingdom, France, Netherlands, Sweden, Finland, Poland
CVE-2025-69230: CWE-779: Logging of Excessive Data in aio-libs aiohttp
Description
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. In versions 3.13.2 and below, reading multiple invalid cookies can lead to a logging storm. If the cookies attribute is accessed in an application, then an attacker may be able to trigger a storm of warning-level logs using a specially crafted Cookie header. This issue is fixed in 3.13.3.
AI-Powered Analysis
Technical Analysis
CVE-2025-69230 is a vulnerability classified under CWE-779 (Logging of Excessive Data) affecting aiohttp, an asynchronous HTTP client/server framework for Python's asyncio library. Versions 3.13.2 and below are vulnerable. The flaw arises when an application accesses the cookies attribute and processes multiple invalid cookies from incoming HTTP requests. An attacker can exploit this by sending a specially crafted Cookie header containing multiple invalid cookies, which causes the aiohttp framework to generate a storm of warning-level log entries. This excessive logging can overwhelm log management systems, degrade application performance, and potentially obscure other critical log messages. The vulnerability does not require any privileges or user interaction, making it remotely exploitable over the network. However, it does not directly allow code execution, data leakage, or denial of service beyond the impact on logging. The issue was addressed in version 3.13.3 of aiohttp, where the logging behavior was corrected to prevent such storms. No known exploits are reported in the wild as of the publication date. The CVSS 4.0 base score is 2.7, reflecting the low impact and ease of exploitation without authentication.
Potential Impact
For European organizations, the primary impact of this vulnerability is operational rather than security-critical. Excessive logging can lead to increased disk usage, potential exhaustion of log storage resources, and performance degradation of affected services. In high-traffic environments, this could cause log management systems to become overwhelmed, potentially delaying or obscuring detection of other security incidents. Organizations relying on aiohttp for web services, APIs, or microservices may experience reduced reliability or increased maintenance overhead. While the vulnerability does not directly compromise sensitive data or system integrity, the indirect effects on monitoring and incident response capabilities could increase risk exposure. Industries with stringent compliance and auditing requirements, such as finance, healthcare, and critical infrastructure, may find this particularly problematic. Prompt patching is essential to maintain operational stability and ensure accurate logging.
Mitigation Recommendations
European organizations should immediately upgrade aiohttp to version 3.13.3 or later to remediate this vulnerability. In addition, review and harden logging configurations to limit the volume and verbosity of logs generated by web frameworks, especially for warning-level messages. Implement rate limiting or filtering on incoming HTTP headers to detect and block suspicious or malformed Cookie headers that could trigger excessive logging. Enhance monitoring of log storage utilization and set alerts for abnormal increases in log volume. Consider deploying Web Application Firewalls (WAFs) to detect and block anomalous HTTP requests with malformed cookies. Conduct regular audits of third-party dependencies to ensure timely application of security patches. Finally, educate development teams on secure handling of HTTP headers and the importance of updating asynchronous frameworks promptly.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2025-12-29T20:53:49.676Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 695d12c1769e869ac5d3c5dd
Added to database: 1/6/2026, 1:48:49 PM
Last enriched: 1/6/2026, 1:49:05 PM
Last updated: 1/8/2026, 5:33:10 AM
Views: 12
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