IP Threat Report
152.232.73.211
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 152.232.73.211 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 152.232.73.0/24
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
⚙️ Defensive Recommendations
Block 152.232.73.211 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.
Neighbors in 152.232.73.0/24
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
152.232.73.211 has been assigned a threat score of 85/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.
📊 Threat Analysis
Threat intelligence analysis has linked 152.232.73.211 to malicious activity originating from Montreal, Canada, operating on the network of B2 Net Solutions Inc.. The address has been under observation since its initial detection. Over a period of 4 days, this IP generated 220 malicious requests, averaging approximately 55 requests per day. Canada currently accounts for 102 blocked IPs in our database, making it a significant source of malicious traffic. At 85/100, this IP warrants immediate defensive action.
Related Threats
Security Intelligence
💡 Privacy-Preserving Threat Detection
Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.
💡 Memory Safety and Buffer Overflows
Buffer overflow vulnerabilities remain relevant in C/C++ applications despite decades of mitigation efforts. Modern protections like ASLR, stack canaries, and DEP reduce exploitability but determined attackers continue finding bypass techniques.