
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Burst 12/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 13/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 15/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 17/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 21/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 38/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 42/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 48/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 53/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 54/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 69/10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 1 | Medium-risk: admin panels, config files | +10 | |
| Danger medium hits: 141 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 48 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 969 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 1 | High-risk paths: shells, RCE vectors, exploits | +25 | |
| Danger strong hits: 126 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 372 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 46 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 66 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| UA changed | Multiple User-Agents — bot rotation technique | +25 | |
| UA suspicious | Behavioral anomaly detected by automated analysis | +15 |
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 1596 malicious IPs from this autonomous system.
IP 192.253.209.96 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
Address UA spoofing from 192.253.209.96: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
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.
192.253.209.96 has been assigned a threat score of 255/100 (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:
192.253.209.96 is registered in Jersey City, United States, operating on the network of GSL Networks Pty LTD. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. The address has been active for 27 days in our monitoring system, producing 479 flagged requests at a rate of ~17.7/day. Classified as a VPN or proxy server, this IP serves as an anonymization layer. While VPNs have legitimate uses, this address has been observed routing clearly malicious traffic. The dual attack vectors of Request Flooding combined with User-Agent Anomaly indicate a coordinated assault rather than opportunistic scanning. With 36,545 flagged addresses, United States represents a major presence in our threat database. With a threat score of 255/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.
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.
WAFs inspect HTTP traffic to block common attacks but require careful tuning. Overly aggressive rules cause false positives while permissive configurations miss attacks. Modern WAFs combine signature matching with behavioral analysis and machine learning.