IP Threat Report
157.230.140.151
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 157.230.140.151 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 157.230.140.0/24
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
⚙️ Defensive Recommendations
Block 157.230.140.151 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.
Neighbors in 157.230.140.0/24
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
157.230.140.151 has been assigned a threat score of 120/100 (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 157.230.140.151 to malicious activity originating from Santa Clara, United States, operating on the network of DigitalOcean, LLC. The address has been under observation since its initial detection. During its 6-day observation window, we recorded 250 hostile requests from this IP — roughly 41.7 per day on average. With 102 flagged addresses, United States represents a significant presence in our threat database. A score of 120/100 places this address in the top tier of severity. Block and investigate any historical connections.
Related Threats
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💡 IP Geolocation Accuracy Limitations
IP geolocation databases provide approximate locations with varying accuracy. City-level geolocation is typically 50-80% accurate, while country-level exceeds 95%. VPNs, proxies, and mobile networks further reduce reliability, making geolocation a useful but imperfect intelligence signal.
💡 Ransomware-as-a-Service Economy
The RaaS model allows technically unskilled criminals to deploy sophisticated ransomware through affiliate programs. Operators provide the malware, infrastructure, and negotiation services, taking a percentage of ransom payments from their affiliates.