
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Burst 171/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 171/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 200/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 200/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 86/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 86/2s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 131 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 204 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 3 | Medium-risk: admin panels, config files | +30 | |
| Danger medium hits: 5 | Medium-risk: admin panels, config files | +50 | |
| Danger strong hits: 160 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 325 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 376 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 482 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 75 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| 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 | |
| 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.
IP 35.180.172.183 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 35.180.172.183.
IP 35.180.172.183 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.
35.180.172.183 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:
The address 35.180.172.183 originates from Paris, France, operating on the network of Amazon Technologies Inc.. It was identified through automated analysis of incoming network traffic across monitored endpoints. Over a period of 10 days, this IP generated 8,673 malicious requests, averaging approximately 867.3 requests per day. 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. France currently accounts for 103 blocked IPs in our database, making it a significant source of malicious traffic. At 298/100, 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.
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.
Mobile carrier NAT (CGNAT) means thousands of users share a single public IP, making mobile IPs unreliable for reputation scoring. However, mobile networks are increasingly used as attack platforms through compromised apps and malicious SDKs.