
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA suspicious (short/empty) | Behavioral anomaly detected by automated analysis | +15 | |
| Danger strong hits: 9 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 132 | Medium-risk: admin panels, config files | +60 | |
| Burst: 51 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 151 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 39 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 112 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 1 | High-risk paths: shells, RCE vectors, exploits | +25 | |
| Danger medium hits: 1 | Medium-risk: admin panels, config files | +10 | |
| Danger strong hits: 12 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 198 | Medium-risk: admin panels, config files | +60 | |
| Burst: 54 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 155 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 168 | Medium-risk: admin panels, config files | +60 | |
| Burst: 41 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 110 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 240 | Medium-risk: admin panels, config files | +60 | |
| Burst: 43 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 135 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 238 | Medium-risk: admin panels, config files | +60 | |
| Burst: 177 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 57 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 200 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 56 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 197 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 6 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 355 | Medium-risk: admin panels, config files | +60 | |
| Burst: 45 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 138 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 38 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 119 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 354 | Medium-risk: admin panels, config files | +60 | |
| Burst: 49 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 128 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 8 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 533 | Medium-risk: admin panels, config files | +60 | |
| Burst: 44 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 122 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 3 | High-risk paths: shells, RCE vectors, exploits | +75 | |
| Danger medium hits: 96 | Medium-risk: admin panels, config files | +60 | |
| Burst: 35 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 73 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 259 | Medium-risk: admin panels, config files | +60 | |
| Burst: 47 req / 2s | Abnormally fast request rate — automated scanning | +35 |
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 20.203.243.187: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 20.203.243.187.
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.
20.203.243.187 has been assigned a threat score of 245/100 (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:
Network traffic from 20.203.243.187, located in Zurich, Switzerland, operating on the network of Microsoft Corporation, has been classified as malicious by our automated threat scoring engine. During its 1-day observation window, we recorded 15 hostile requests from this IP — roughly 15 per day on average. 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 dual attack vectors of User-Agent Anomaly combined with Request Flooding indicate a coordinated assault rather than opportunistic scanning. Switzerland currently accounts for 101 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 245/100, 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.
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.
Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.