
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA suspicious (short/empty) | Behavioral anomaly detected by automated analysis | +15 | |
| Danger strong hits: 156 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 1122 | Medium-risk: admin panels, config files | +60 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Burst: 72 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 200 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: 53 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 375 | Medium-risk: admin panels, config files | +60 | |
| Burst: 24 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 87 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 52 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 374 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 36 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Danger strong hits: 70 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 561 | Medium-risk: admin panels, config files | +60 | |
| Burst: 86 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 210 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 1683 | Medium-risk: admin panels, config files | +60 | |
| Burst: 74 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 88 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 104 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 748 | Medium-risk: admin panels, config files | +60 | |
| Burst: 48 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 174 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 139 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 25 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 22 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 80 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 171 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 172 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 175 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 364 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 140 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Burst: 173 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 6 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 64 | Medium-risk: admin panels, config files | +60 | |
| Burst: 84 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 15 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 118 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 546 | Medium-risk: admin panels, config files | +60 | |
| Burst: 85 req / 10s | 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.
IP 20.151.109.1 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
IP 20.151.109.1 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 20.151.109.1.
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.
20.151.109.1 has been assigned a threat score of 280/100 (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 20.151.109.1, geolocated to Toronto, Canada, operating on the network of Microsoft Corporation, as a source of suspicious network activity. During its 1-day observation window, we recorded 71 hostile requests from this IP — roughly 71 per day on average. Operating from datacenter infrastructure, this IP is typical of addresses used in organized attack operations. Cloud and VPS providers are commonly exploited as launching platforms for automated scanning. With 3 different attack patterns detected, this IP exhibits behavior characteristic of advanced automated scanning frameworks. Canada currently accounts for 101 blocked IPs in our database, making it a significant source of malicious traffic. At 280/100, 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.
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.
Processing IP addresses for security purposes under GDPR requires balancing legitimate interest in network protection with data minimization principles. Threat intelligence platforms must implement appropriate retention policies and provide mechanisms for data subject rights.