
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Burst 108/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 111/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 137/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 38/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 40/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 41/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 44/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 45/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 96/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 99/10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 263 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 32 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 40 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Probe 302→404 | Behavioral anomaly detected by automated analysis | +20 | |
| 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.
IP 20.203.205.107 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
IP 20.203.205.107 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
Address UA spoofing from 20.203.205.107: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
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.
20.203.205.107 has been assigned a threat score of 280/100 (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:
Network traffic from 20.203.205.107, located in Zurich, Switzerland, operating on the network of Microsoft Corporation, has been classified as malicious by our automated threat scoring engine. During its 6-day observation window, we recorded 854 hostile requests from this IP — roughly 142.3 per day on average. 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. With 3 different attack patterns detected, this IP exhibits behavior characteristic of advanced automated scanning frameworks. Switzerland currently accounts for 101 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 280/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.
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.
Threat scoring combines multiple signals — request patterns, known signatures, IP reputation, geographic risk, and behavioral analysis — into a single actionable metric. Weighted scoring models allow tuning sensitivity to balance security with usability.