IP Threat Report
64.62.253.162
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| Directory Scan | Behavioral anomaly detected by automated analysis | +0 |
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
Recommendations
Actions taken & recommended
- IP 64.62.253.162 is blocked at application level (HTTP 403)
- Consider blocking at firewall level (iptables/CSF) to reduce server load
- Other malicious IPs detected in the same /24 subnet — consider blocking 64.62.253.0/24
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
⚙️ General Security
Add 64.62.253.162 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.
Neighbors in 64.62.253.0/24
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
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
64.62.253.162 has been assigned a threat score of 85/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.
📊 Threat Analysis
64.62.253.162 is registered in Fremont, United States, operating on the network of Hurricane Electric LLC. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. During its 19-day observation window, we recorded 349 hostile requests from this IP — roughly 18.4 per day on average. United States currently accounts for 134 blocked IPs in our database, making it a significant source of malicious traffic. A threat score of 85/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.
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💡 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.
💡 DNS-Based Threat Detection
Monitoring DNS queries reveals malicious activity including command-and-control communication, data exfiltration through DNS tunneling, and connections to known malicious domains. DNS is often the first indicator of compromise in network forensics.