IP Threat Report
3.76.195.163
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| Burst 162/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 166/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 171/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 50/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 51/2s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 160 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 80 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 1438 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 719 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| POST seen | Behavioral anomaly detected by automated analysis | +8 | |
| UA changed | Multiple User-Agents — bot rotation technique | +25 |
Observed Activity
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Timeline
Network Provider
Recommendations
Actions taken & recommended
- IP 3.76.195.163 is blocked at application level (HTTP 403)
- Consider blocking at firewall level (iptables/CSF) to reduce server load
- Report abuse to the network provider via their abuse contact
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
🌊 Flood / DDoS Mitigation
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 3.76.195.163.
🤖 Bot Detection
Address UA spoofing from 3.76.195.163: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
Blacklist Status (DNSBL)
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.
Threat Analysis
3.76.195.163 has been assigned a threat score of 263/100 (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:
📊 Threat Analysis
3.76.195.163 is registered in Frankfurt am Main, Germany, operating on the network of Amazon Technologies Inc.. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 207 malicious requests from this address across a 3-day span, reflecting a sustained attack cadence of ~69 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. Two attack patterns were identified (Request Flooding and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. Our records show 101 malicious IPs originating from Germany, positioning it as a significant contributor to global threat activity. At 263/100, 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.
Related Threats
Security Intelligence
💡 DDoS Mitigation Approaches
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.
💡 Honeypot Network Intelligence
Honeypots are decoy systems designed to attract and study attackers. Networks of honeypots provide early warning of new attack campaigns, reveal attacker tools and techniques, and generate high-confidence threat intelligence with minimal false positives.