
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA changed for same IP | Multiple User-Agents — bot rotation technique | +25 | |
| Danger strong hits: 127 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 50 | Medium-risk: admin panels, config files | +60 | |
| Burst: 24 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 86 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 21 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 74 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 378 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 970 | Medium-risk: admin panels, config files | +60 | |
| Burst: 23 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 84 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 85 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 82 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 294 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 756 | Medium-risk: admin panels, config files | +60 | |
| Burst: 83 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 81 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 87 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 272 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 407 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 246 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 648 | Medium-risk: admin panels, config files | +60 |
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 45.91.23.162: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
IP 45.91.23.162 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
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.
45.91.23.162 has been assigned a threat score of 255/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.
The following attack categories were identified:
Network traffic from 45.91.23.162, located in Montreal, Canada, operating on the network of Datacamp Limited, has been classified as malicious by our automated threat scoring engine. Our sensors captured 12 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~12 requests per 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. Two attack patterns were identified (User-Agent Anomaly and Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. With 53 flagged addresses, Canada represents a notable presence in our threat database. At 255/100, 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.
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.
SSTI occurs when user input is embedded in server-side templates without sanitization. Successful exploitation often leads to remote code execution, as template engines typically have access to powerful server-side functionality.