
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Directory Scan | Behavioral anomaly detected by automated analysis | +0 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Block 128.0.7.110 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
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.
128.0.7.110 has been assigned a threat score of 60/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.
128.0.7.110 is registered in Shuyūkh Taḩtānī, SY, operating on the network of High Speed For Internet Services L.L.C. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 12 days, this IP generated 749 malicious requests, averaging approximately 62.4 requests per day. Our records show 60 malicious IPs originating from SY, positioning it as a notable contributor to global threat activity. At 60/100, this IP presents a meaningful threat. Implement rate limiting with escalation to blocking.
Processing IP addresses for security purposes under GDPR requires balancing legitimate interest in network protection with data minimization principles. Threat intelligence platforms must implement appropriate retention policies and provide mechanisms for data subject rights.
Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.