
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: 144 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 377 | Medium-risk: admin panels, config files | +60 | |
| Burst: 15 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 52 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 199 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 525 | Medium-risk: admin panels, config files | +60 | |
| Burst: 14 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 51 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 75 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 233 | Medium-risk: admin panels, config files | +60 | |
| Burst: 55 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 268 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 669 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 108 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 3 | Medium-risk: admin panels, config files | +30 | |
| Burst: 54 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 343 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 902 | 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.
IP 37.140.254.81 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 37.140.254.81.
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.
37.140.254.81 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:
IP address 37.140.254.81 has been traced to Zurich, Switzerland, operating on the network of F.N.S. HOLDINGS LIMITED. Our threat detection systems have flagged this address based on observed malicious behavior patterns. During its 1-day observation window, we recorded 6 hostile requests from this IP — roughly 6 per day on average. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The dual attack vectors of User-Agent Anomaly combined with Request Flooding indicate a coordinated assault rather than opportunistic scanning. Switzerland currently accounts for 11 blocked IPs in our database, making it a notable source of malicious traffic. 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 classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.
Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.
GraphQL APIs introduce specific vulnerabilities including introspection information disclosure, query complexity attacks, batching abuse, and authorization bypass through nested queries. Depth limiting, cost analysis, and field-level authorization address these GraphQL-specific threats.