IP Threat Report
178.62.18.218
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| Malicious Activity | 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 178.62.18.218 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
⚙️ General Security
Add 178.62.18.218 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.
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
178.62.18.218 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
IP address 178.62.18.218 has been traced to Slough, United Kingdom, operating on the network of DigitalOcean, LLC. Our threat detection systems have flagged this address based on observed malicious behavior patterns. During its 2-day observation window, we recorded 65 hostile requests from this IP — roughly 32.5 per day on average. Our records show 101 malicious IPs originating from United Kingdom, positioning it as a significant contributor to global threat activity. At 85/100, this IP warrants immediate defensive action.
Related Threats
🇬🇧 Top threats from United Kingdom
104.28.208.60 (340)104.28.240.60 (340)91.230.225.239 (305)91.230.225.36 (305)91.230.225.147 (305)View all →Security Intelligence
💡 HTTP Header Analysis for Threat Detection
Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.
💡 Threat Intelligence Sharing Frameworks
Standards like STIX/TAXII, MISP, and OpenIOC enable automated sharing of threat intelligence between organizations. Collective defense through shared indicators, tactics, and procedures strengthens the entire security community against common threats.