
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio >= 60% | Majority of requests returned 404 — enumeration | +25 | |
| Burst 102/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 108/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 141/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 152/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 177/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 200/10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 1 | Medium-risk: admin panels, config files | +10 | |
| Danger medium hits: 12 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 21 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 7 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 116 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 165 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 204 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 55 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 94 | 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 | |
| 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.
IP 35.243.160.250 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 35.243.160.250.
IP 35.243.160.250 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
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.
35.243.160.250 has been assigned a threat score of 298/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.
The following attack categories were identified:
Threat intelligence analysis has linked 35.243.160.250 to malicious activity originating from North Charleston, United States, operating on the network of Google LLC. The address has been under observation since its initial detection. During its 3-day observation window, we recorded 348 hostile requests from this IP — roughly 116 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. The diversity of 3 separate attack methods suggests a comprehensive attack toolkit — likely an automated scanner that tests for vulnerabilities across multiple categories. With 128 flagged addresses, United States represents a significant presence in our threat database. With a threat score of 298/100, 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.
Cache poisoning manipulates web cache behavior to serve malicious content to other users. By identifying unkeyed inputs that influence cached responses, attackers can inject JavaScript, redirect users, or cause denial of service at scale through the cache infrastructure.