
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| POST seen | Behavioral anomaly detected by automated analysis | +8 | |
| UA bot: python | Known bot/crawler User-Agent detected | +40 | |
| UA changed | Multiple User-Agents — bot rotation technique | +25 | |
| spam:bad_user_agent | Spam/malware keywords in request content | +0 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Address UA spoofing from 194.26.100.179: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
Enable CAPTCHA on all public forms. Add honeypot fields. Rate-limit submissions to 3 per minute per IP. Deploy Akismet or CleanTalk.
This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.
Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.
194.26.100.179 has been assigned a threat score of 73/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.
The following attack categories were identified:
Network traffic from 194.26.100.179, located in L'Hospitalet de Llobregat, Spain, operating on the network of CubePath, has been classified as malicious by our automated threat scoring engine. Our sensors captured 111 malicious requests from this address across a 2-day span, reflecting a sustained attack cadence of ~55.5 requests per day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. With 101 flagged addresses, Spain represents a significant presence in our threat database. At 73/100, this IP warrants immediate defensive action.
This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.
TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.
WebSocket connections bypass traditional HTTP security controls, creating opportunities for cross-site WebSocket hijacking, denial of service, and data injection. Proper origin validation, authentication, and message rate limiting are essential for secure WebSocket implementations.