
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 117/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 121/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 43/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 43/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 69/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 70/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 94/10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 21 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 6 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 48 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 56 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 59 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 60 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 61 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 62 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 66 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 68 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 72 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 73 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 74 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 75 | 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 | |
| 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.
Block scanning from 193.47.62.168: 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 193.47.62.168.
Address UA spoofing from 193.47.62.168: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
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.
193.47.62.168 has been assigned a threat score of 278/100 (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:
IP address 193.47.62.168 has been traced to Andorra la Vella, AD, operating on the network of BestDC Limited. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Our sensors captured 12,458 malicious requests from this address across a 74-day span, reflecting a sustained attack cadence of ~168.4 requests per day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. With 3 different attack patterns detected, this IP exhibits behavior characteristic of advanced automated scanning frameworks. A score of 278/100 places this address in the top tier of severity. Block and investigate any historical connections.
This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.
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.
IP geolocation databases provide approximate locations with varying accuracy. City-level geolocation is typically 50-80% accurate, while country-level exceeds 95%. VPNs, proxies, and mobile networks further reduce reliability, making geolocation a useful but imperfect intelligence signal.