
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Burst 10/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 11/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 12/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 28/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 37/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 38/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 43/10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 35 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 36 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 444 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 581 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 82 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 135 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 195 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 28 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 5 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 6 | 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.
Block scanning from 20.89.253.25: 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 20.89.253.25.
Address UA spoofing from 20.89.253.25: 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.
20.89.253.25 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 20.89.253.25, located in Osaka, Japan, operating on the network of Microsoft Corporation, has been classified as malicious by our automated threat scoring engine. The address has been active for 6 days in our monitoring system, producing 398 flagged requests at a rate of ~66.3/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 diversity of 3 separate attack methods suggests a comprehensive attack toolkit — likely an automated scanner that tests for vulnerabilities across multiple categories. With 106 flagged addresses, Japan represents a significant presence in our threat database. 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.
Request smuggling exploits differences in how front-end and back-end servers parse HTTP requests. This technique can bypass security controls, poison web caches, and hijack other users sessions by desynchronizing request boundaries.