IP Threat Report
162.240.96.211
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 162.240.96.211 is blocked at application level (HTTP 403)
- Consider blocking at firewall level (iptables/CSF) to reduce server load
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
⚙️ Defensive Recommendations
Block 162.240.96.211 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.
Threat Analysis
162.240.96.211 has been assigned a threat score of 130/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
📊 Threat Analysis
162.240.96.211 is registered in Phoenix, United States, operating on the network of Unified Layer. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 879 malicious requests from this address across a 23-day span, reflecting a sustained attack cadence of ~38.2 requests per day. Our records show 101 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. A score of 130/100 places this address in the top tier of severity. Block and investigate any historical connections.
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💡 Responsible Disclosure Ethics
Responsible disclosure balances public safety with giving vendors time to patch vulnerabilities. The security community generally supports coordinated disclosure timelines, but disagreements about appropriate timeframes and full disclosure continue to drive policy debates.
💡 Autonomous System Analysis
Analyzing attack patterns at the AS (Autonomous System) level reveals which networks harbor the most malicious activity. Some ASes have abuse rates orders of magnitude higher than average, indicating lax enforcement of acceptable use policies.