IP Threat Report
142.147.111.230
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 142.147.111.230 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 142.147.111.0/24
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
⚙️ General Security
Add 142.147.111.230 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.
Neighbors in 142.147.111.0/24
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
142.147.111.230 has been assigned a threat score of 95/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
📊 Threat Analysis
The address 142.147.111.230 originates from Los Angeles, United States, operating on the network of Sprious LLC, Blazing SEO, LLC. It was identified through automated analysis of incoming network traffic across monitored endpoints. Our sensors captured 190 malicious requests from this address across a 110-day span, reflecting a sustained attack cadence of ~1.7 requests per day. United States currently accounts for 109 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 95/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.
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💡 Machine Learning in Threat Detection
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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.