IP Threat Report
20.215.209.82
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA suspicious (short/empty) | Behavioral anomaly detected by automated analysis | +15 | |
| Danger strong hits: 15 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 346 | Medium-risk: admin panels, config files | +60 | |
| Burst: 46 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 141 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 53 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 170 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 47 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 156 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 344 | Medium-risk: admin panels, config files | +60 | |
| Burst: 45 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 138 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 151 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 512 | Medium-risk: admin panels, config files | +60 | |
| Burst: 52 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 182 req / 10s | Abnormally fast request rate — automated scanning | +35 |
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 20.215.209.82 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
🤖 User-Agent Anomaly Defense
IP 20.215.209.82 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
🌊 Flood / DDoS Mitigation
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 20.215.209.82.
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
20.215.209.82 has been assigned a threat score of 245/100 (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 Analysis
IP address 20.215.209.82 has been traced to Warsaw, Poland, operating on the network of Microsoft Corporation. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 1 days, this IP generated 8 malicious requests, averaging approximately 8 requests per 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. Two attack patterns were identified (User-Agent Anomaly and Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. Our records show 101 malicious IPs originating from Poland, positioning it as a significant contributor to global threat activity. With a threat score of 245/100, 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
💡 TLS Fingerprinting (JA3/JA4)
TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.
💡 Network Flow Analysis
Analyzing network flows (NetFlow, sFlow, IPFIX) provides visibility into traffic patterns without inspecting packet contents. Flow data reveals scanning activity, data exfiltration, lateral movement, and command-and-control channels at scale.