
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Burst 200/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 200/2s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 12 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 65 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Foreign referer | Referer from unrelated external domain | +10 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
We have detected 10 malicious IPs from this autonomous system.
IP 185.55.4.140 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
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.
185.55.4.140 has been assigned a threat score of 240/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
The following attack categories were identified:
IP address 185.55.4.140 has been traced to Ashburn, United States, operating on the network of Verizon Business. Our threat detection systems have flagged this address based on observed malicious behavior patterns. During its 5-day observation window, we recorded 81 hostile requests from this IP — roughly 16.2 per day on average. The address operates as a VPN/proxy exit node. Attackers route traffic through anonymizing services to obscure their real location and evade IP-based security controls. The IP is engaged in request flooding, sending traffic at rates designed to exhaust server capacity. Our records show 36,231 malicious IPs originating from United States, positioning it as a major contributor to global threat activity. At 240/100, this is an extremely high-risk address. All traffic should be considered hostile.
This IP is associated with a VPN or proxy service. Attackers frequently route their traffic through anonymizing services to obscure their true location. This makes attribution more challenging but the malicious behavior patterns remain detectable.
Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.
Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.