CVE-2025-69227: CWE-835: Loop with Unreachable Exit Condition ('Infinite Loop') in aio-libs aiohttp
CVE-2025-69227 is a medium severity vulnerability in aiohttp versions prior to 3. 13. 3 that can cause an infinite loop leading to a denial-of-service (DoS) attack. The flaw arises when Python optimizations are enabled (using -O or PYTHONOPTIMIZE=1), which bypass assert statements in aiohttp's handling of POST requests. An attacker can send a specially crafted POST request to trigger this infinite loop, causing the server to hang and become unresponsive. No authentication or user interaction is required, and the attack can be executed remotely over the network. This vulnerability affects asynchronous Python applications using aiohttp for HTTP client/server functionality. The issue is fixed in aiohttp version 3. 13. 3.
AI Analysis
Technical Summary
CVE-2025-69227 is a vulnerability classified under CWE-835 (Loop with Unreachable Exit Condition) affecting aiohttp, an asynchronous HTTP client/server framework for Python's asyncio. The issue manifests when Python is run with optimizations enabled (-O or PYTHONOPTIMIZE=1), which disables assert statements. aiohttp versions 3.13.2 and below contain code relying on assert statements to validate conditions during POST request body processing. When these asserts are bypassed, the code enters an infinite loop, causing the server to hang indefinitely. This results in a denial-of-service (DoS) condition as the affected aiohttp server becomes unresponsive to legitimate requests. The vulnerability can be triggered remotely without authentication or user interaction by sending a specially crafted POST request to an endpoint using the Request.post() method. The flaw is due to improper handling of input validation and control flow dependent on assert statements, which are not reliable for production checks when Python optimizations are enabled. The vulnerability has a CVSS 4.0 base score of 6.6, indicating medium severity, with network attack vector, low attack complexity, no privileges or user interaction required, and a high impact on availability. No known exploits are reported in the wild as of the publication date. The issue is resolved in aiohttp version 3.13.3 by removing reliance on assert statements for critical control flow and improving input validation logic.
Potential Impact
For European organizations, this vulnerability poses a risk of denial-of-service attacks against web services and APIs built using aiohttp versions below 3.13.3, especially when Python is run with optimizations enabled in production. The infinite loop can cause server resource exhaustion, leading to service outages and degraded availability. This can disrupt business operations, customer-facing services, and internal applications relying on aiohttp. Organizations in sectors with high reliance on Python-based asynchronous web frameworks—such as fintech, e-commerce, cloud service providers, and technology companies—may face increased risk. The vulnerability does not expose data confidentiality or integrity directly but impacts service availability, which can have cascading effects on business continuity and reputation. Given the ease of remote exploitation without authentication, attackers can launch DoS attacks at scale. European entities using containerized or cloud environments with automated Python optimization flags may be inadvertently more exposed. The lack of known exploits in the wild suggests limited immediate threat but also highlights the need for proactive patching to prevent future attacks.
Mitigation Recommendations
1. Upgrade all aiohttp dependencies to version 3.13.3 or later immediately to ensure the vulnerability is patched. 2. Review Python runtime configurations and avoid running production environments with the -O or PYTHONOPTIMIZE=1 flags enabled, as these disable assert statements and trigger the vulnerability. 3. Audit application code to identify usage of Request.post() handlers and validate input handling logic to ensure no reliance on assert statements for critical control flow. 4. Implement rate limiting and anomaly detection on POST endpoints to mitigate potential DoS attempts. 5. Use application-layer firewalls or WAFs to detect and block suspicious POST request patterns targeting aiohttp services. 6. Monitor aiohttp server logs for unusual request patterns or performance degradation indicative of infinite loop conditions. 7. Incorporate this vulnerability into vulnerability management and patching cycles, ensuring dependencies are regularly updated. 8. Educate development teams on the risks of using assert statements for production input validation and encourage defensive programming practices.
Affected Countries
Germany, United Kingdom, France, Netherlands, Sweden, Italy, Spain
CVE-2025-69227: CWE-835: Loop with Unreachable Exit Condition ('Infinite Loop') in aio-libs aiohttp
Description
CVE-2025-69227 is a medium severity vulnerability in aiohttp versions prior to 3. 13. 3 that can cause an infinite loop leading to a denial-of-service (DoS) attack. The flaw arises when Python optimizations are enabled (using -O or PYTHONOPTIMIZE=1), which bypass assert statements in aiohttp's handling of POST requests. An attacker can send a specially crafted POST request to trigger this infinite loop, causing the server to hang and become unresponsive. No authentication or user interaction is required, and the attack can be executed remotely over the network. This vulnerability affects asynchronous Python applications using aiohttp for HTTP client/server functionality. The issue is fixed in aiohttp version 3. 13. 3.
AI-Powered Analysis
Technical Analysis
CVE-2025-69227 is a vulnerability classified under CWE-835 (Loop with Unreachable Exit Condition) affecting aiohttp, an asynchronous HTTP client/server framework for Python's asyncio. The issue manifests when Python is run with optimizations enabled (-O or PYTHONOPTIMIZE=1), which disables assert statements. aiohttp versions 3.13.2 and below contain code relying on assert statements to validate conditions during POST request body processing. When these asserts are bypassed, the code enters an infinite loop, causing the server to hang indefinitely. This results in a denial-of-service (DoS) condition as the affected aiohttp server becomes unresponsive to legitimate requests. The vulnerability can be triggered remotely without authentication or user interaction by sending a specially crafted POST request to an endpoint using the Request.post() method. The flaw is due to improper handling of input validation and control flow dependent on assert statements, which are not reliable for production checks when Python optimizations are enabled. The vulnerability has a CVSS 4.0 base score of 6.6, indicating medium severity, with network attack vector, low attack complexity, no privileges or user interaction required, and a high impact on availability. No known exploits are reported in the wild as of the publication date. The issue is resolved in aiohttp version 3.13.3 by removing reliance on assert statements for critical control flow and improving input validation logic.
Potential Impact
For European organizations, this vulnerability poses a risk of denial-of-service attacks against web services and APIs built using aiohttp versions below 3.13.3, especially when Python is run with optimizations enabled in production. The infinite loop can cause server resource exhaustion, leading to service outages and degraded availability. This can disrupt business operations, customer-facing services, and internal applications relying on aiohttp. Organizations in sectors with high reliance on Python-based asynchronous web frameworks—such as fintech, e-commerce, cloud service providers, and technology companies—may face increased risk. The vulnerability does not expose data confidentiality or integrity directly but impacts service availability, which can have cascading effects on business continuity and reputation. Given the ease of remote exploitation without authentication, attackers can launch DoS attacks at scale. European entities using containerized or cloud environments with automated Python optimization flags may be inadvertently more exposed. The lack of known exploits in the wild suggests limited immediate threat but also highlights the need for proactive patching to prevent future attacks.
Mitigation Recommendations
1. Upgrade all aiohttp dependencies to version 3.13.3 or later immediately to ensure the vulnerability is patched. 2. Review Python runtime configurations and avoid running production environments with the -O or PYTHONOPTIMIZE=1 flags enabled, as these disable assert statements and trigger the vulnerability. 3. Audit application code to identify usage of Request.post() handlers and validate input handling logic to ensure no reliance on assert statements for critical control flow. 4. Implement rate limiting and anomaly detection on POST endpoints to mitigate potential DoS attempts. 5. Use application-layer firewalls or WAFs to detect and block suspicious POST request patterns targeting aiohttp services. 6. Monitor aiohttp server logs for unusual request patterns or performance degradation indicative of infinite loop conditions. 7. Incorporate this vulnerability into vulnerability management and patching cycles, ensuring dependencies are regularly updated. 8. Educate development teams on the risks of using assert statements for production input validation and encourage defensive programming practices.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2025-12-29T20:53:19.433Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 695c4b4e3839e44175984995
Added to database: 1/5/2026, 11:37:50 PM
Last enriched: 1/13/2026, 1:02:20 AM
Last updated: 2/5/2026, 2:43:48 PM
Views: 78
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