CVE-2026-34517: CWE-770: Allocation of Resources Without Limits or Throttling in aio-libs aiohttp
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to version 3.13.4, for some multipart form fields, aiohttp read the entire field into memory before checking client_max_size. This issue has been patched in version 3.13.4.
AI Analysis
Technical Summary
CVE-2026-34517 is a resource allocation vulnerability classified under CWE-770 affecting aiohttp, a popular asynchronous HTTP client/server framework used with Python's asyncio. In versions prior to 3.13.4, aiohttp improperly handles multipart form fields by reading the entire field content into memory before validating against the configured client_max_size limit. This behavior allows an attacker to send large multipart form data that bypasses early size checks, causing the server to allocate excessive memory. Such uncontrolled memory allocation can degrade server performance or cause crashes, resulting in denial of service (DoS). The vulnerability does not require any authentication or user interaction, and the attack vector is network-based. Although no known exploits have been reported in the wild, the issue was addressed by the aio-libs project in version 3.13.4 by enforcing size checks prior to full memory allocation. The CVSS 4.0 base score is 2.7, reflecting low severity due to limited impact on confidentiality, integrity, and availability, and the lack of exploitation complexity. This vulnerability is particularly relevant for applications that accept multipart form uploads, such as file upload endpoints or REST APIs using aiohttp. Proper patching and validation are essential to prevent potential resource exhaustion attacks.
Potential Impact
The primary impact of CVE-2026-34517 is the risk of denial of service through excessive memory consumption on servers running vulnerable aiohttp versions. Attackers can exploit this by sending specially crafted multipart form data that forces the server to allocate large amounts of memory before enforcing size limits. This can degrade application performance, cause crashes, or lead to service unavailability. While the vulnerability does not directly compromise data confidentiality or integrity, the resulting downtime can affect business operations, user experience, and availability of critical services. Organizations relying on aiohttp for web services, APIs, or asynchronous HTTP clients are at risk, especially if they handle large or untrusted multipart form submissions. The absence of authentication or user interaction requirements lowers the barrier for exploitation. However, the overall impact remains low due to the limited scope and the availability of a patch.
Mitigation Recommendations
To mitigate CVE-2026-34517, organizations should immediately upgrade aiohttp to version 3.13.4 or later, where the vulnerability is patched. Additionally, implement strict validation and size limits on incoming multipart form data at multiple layers, including web server, application, and network perimeter. Employ rate limiting and request throttling to reduce the risk of resource exhaustion attacks. Monitor application memory usage and set resource quotas or container limits to prevent a single request from impacting overall system stability. Use web application firewalls (WAFs) capable of detecting abnormal multipart form submissions. Conduct regular dependency audits and integrate automated vulnerability scanning into CI/CD pipelines to ensure timely patching of aiohttp and other critical libraries. Finally, review application logic to avoid unnecessary buffering of large payloads in memory.
Affected Countries
United States, Germany, United Kingdom, France, Japan, India, Canada, Australia, Netherlands, South Korea, Brazil
CVE-2026-34517: CWE-770: Allocation of Resources Without Limits or Throttling in aio-libs aiohttp
Description
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to version 3.13.4, for some multipart form fields, aiohttp read the entire field into memory before checking client_max_size. This issue has been patched in version 3.13.4.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-34517 is a resource allocation vulnerability classified under CWE-770 affecting aiohttp, a popular asynchronous HTTP client/server framework used with Python's asyncio. In versions prior to 3.13.4, aiohttp improperly handles multipart form fields by reading the entire field content into memory before validating against the configured client_max_size limit. This behavior allows an attacker to send large multipart form data that bypasses early size checks, causing the server to allocate excessive memory. Such uncontrolled memory allocation can degrade server performance or cause crashes, resulting in denial of service (DoS). The vulnerability does not require any authentication or user interaction, and the attack vector is network-based. Although no known exploits have been reported in the wild, the issue was addressed by the aio-libs project in version 3.13.4 by enforcing size checks prior to full memory allocation. The CVSS 4.0 base score is 2.7, reflecting low severity due to limited impact on confidentiality, integrity, and availability, and the lack of exploitation complexity. This vulnerability is particularly relevant for applications that accept multipart form uploads, such as file upload endpoints or REST APIs using aiohttp. Proper patching and validation are essential to prevent potential resource exhaustion attacks.
Potential Impact
The primary impact of CVE-2026-34517 is the risk of denial of service through excessive memory consumption on servers running vulnerable aiohttp versions. Attackers can exploit this by sending specially crafted multipart form data that forces the server to allocate large amounts of memory before enforcing size limits. This can degrade application performance, cause crashes, or lead to service unavailability. While the vulnerability does not directly compromise data confidentiality or integrity, the resulting downtime can affect business operations, user experience, and availability of critical services. Organizations relying on aiohttp for web services, APIs, or asynchronous HTTP clients are at risk, especially if they handle large or untrusted multipart form submissions. The absence of authentication or user interaction requirements lowers the barrier for exploitation. However, the overall impact remains low due to the limited scope and the availability of a patch.
Mitigation Recommendations
To mitigate CVE-2026-34517, organizations should immediately upgrade aiohttp to version 3.13.4 or later, where the vulnerability is patched. Additionally, implement strict validation and size limits on incoming multipart form data at multiple layers, including web server, application, and network perimeter. Employ rate limiting and request throttling to reduce the risk of resource exhaustion attacks. Monitor application memory usage and set resource quotas or container limits to prevent a single request from impacting overall system stability. Use web application firewalls (WAFs) capable of detecting abnormal multipart form submissions. Conduct regular dependency audits and integrate automated vulnerability scanning into CI/CD pipelines to ensure timely patching of aiohttp and other critical libraries. Finally, review application logic to avoid unnecessary buffering of large payloads in memory.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-03-30T16:03:31.047Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69cec35ae6bfc5ba1dfb4d05
Added to database: 4/2/2026, 7:28:26 PM
Last enriched: 4/2/2026, 7:31:04 PM
Last updated: 4/3/2026, 6:40:56 AM
Views: 5
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.