
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Burst 118/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 118/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 119/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 119/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 127/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 129/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 129/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 130/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 131/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 132/10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 5 | Medium-risk: admin panels, config files | +50 | |
| Danger medium hits: 6 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 72 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 75 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 78 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 79 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Foreign referer | Referer from unrelated external domain | +10 | |
| POST seen | Behavioral anomaly detected by automated analysis | +8 | |
| 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.
Block scanning from 35.241.132.20: 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 35.241.132.20.
IP 35.241.132.20 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
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.
35.241.132.20 has been assigned a threat score of 273/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.
The following attack categories were identified:
Our monitoring infrastructure has identified 35.241.132.20, geolocated to Brussels, Belgium, operating on the network of Google LLC, as a source of suspicious network activity. The address has been active for 20 days in our monitoring system, producing 530 flagged requests at a rate of ~26.5/day. The IP is classified as hosting/datacenter infrastructure, commonly associated with rented servers used for automated attack campaigns, botnet command-and-control, or vulnerability scanning at scale. The combination of 3 distinct attack vectors indicates a sophisticated, multi-pronged threat actor deploying automated tools that probe multiple attack surfaces simultaneously. Belgium currently accounts for 843 blocked IPs in our database, making it a major source of malicious traffic. At 273/100, 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.
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.