
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 65.111.14.92 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.
65.111.14.92 has been assigned a threat score of 95/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.
The address 65.111.14.92 originates from Ashburn, United States, operating on the network of 3xK Tech GmbH. It was identified through automated analysis of incoming network traffic across monitored endpoints. Our sensors captured 27 malicious requests from this address across a 21-day span, reflecting a sustained attack cadence of ~1.3 requests per day. Our records show 110 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. With a threat score of 95/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.
MFA dramatically reduces the effectiveness of credential-based attacks. Even when passwords are compromised through phishing or data breaches, the additional authentication factor prevents unauthorized access in the vast majority of cases.
Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.