
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| 404 ratio >= 60% | Majority of requests returned 404 — enumeration | +25 | |
| Burst 22/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 23/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 36/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 62/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 71/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 8/2s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 36 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 41 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 5 | Medium-risk: admin panels, config files | +50 | |
| Danger medium hits: 57 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 36 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 41 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 5 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 54 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Foreign referer | Referer from unrelated external domain | +10 | |
| Probe 302→404 | Behavioral anomaly detected by automated analysis | +20 | |
| UA changed | Multiple User-Agents — bot rotation technique | +25 |
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 11 malicious IPs from this autonomous system.
Block scanning from 103.47.145.31: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 103.47.145.31.
IP 103.47.145.31 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
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.
103.47.145.31 has been assigned a threat score of 310/100 (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:
103.47.145.31 is registered in Eygelshoven, Netherlands, operating on the network of Gaditek Associates. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 136 malicious requests from this address across a 11-day span, reflecting a sustained attack cadence of ~12.4 requests per day. This address belongs to a datacenter or cloud hosting provider. Hosting IPs are frequently leveraged by threat actors who rent cheap VPS instances specifically for conducting attacks. The diversity of 3 separate attack methods suggests a comprehensive attack toolkit — likely an automated scanner that tests for vulnerabilities across multiple categories. Netherlands currently accounts for 2,847 blocked IPs in our database, making it a major source of malicious traffic. At 310/100, this is an extremely high-risk address. All traffic should be considered hostile.
This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.
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.
Passive DNS databases record historical DNS resolution data, enabling analysts to track domain changes, identify related infrastructure, and discover malicious domains sharing hosting with known threats. This historical context is invaluable for threat investigation.