IP Threat Report
20.79.29.209
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Burst 133/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 200/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 41/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 50/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 58/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 59/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 61/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 62/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 63/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 64/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 65/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 66/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 69/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 71/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 72/2s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 246 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 292 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 307 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 369 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 438 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 461 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 599 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 66 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 12 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 14 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 18 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 19 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 26 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 27 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 28 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 35 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 36 | 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 |
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 20.79.29.209 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
🔎 Directory Scan Defense
IP 20.79.29.209 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
🌊 Flood / DDoS Mitigation
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 20.79.29.209.
🤖 Bot Detection
Address UA spoofing from 20.79.29.209: 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
20.79.29.209 has been assigned a threat score of 280/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.
The following attack categories were identified:
📊 Threat Analysis
Network traffic from 20.79.29.209, located in Frankfurt am Main, Germany, operating on the network of Microsoft Corporation, has been classified as malicious by our automated threat scoring engine. During its 3-day observation window, we recorded 1,513 hostile requests from this IP — roughly 504.3 per day on average. 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. With 101 flagged addresses, Germany 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.
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.
💡 SQL Injection Campaigns
SQL injection remains one of the most common web attack vectors. Attackers inject malicious SQL code through input fields to extract database contents, modify data, or gain administrative access. Automated scanners test for SQLi vulnerabilities at massive scale.