IP Threat Report
190.139.187.43
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 190.139.187.43 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 190.139.187.43 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
190.139.187.43 has been assigned a threat score of 83/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.
📊 Threat Analysis
Network traffic from 190.139.187.43, located in Buenos Aires, Argentina, operating on the network of Telecom Argentina S.A., has been classified as malicious by our automated threat scoring engine. The address has been active for 4 days in our monitoring system, producing 2 flagged requests at a rate of ~0.5/day. Argentina currently accounts for 103 blocked IPs in our database, making it a significant source of malicious traffic. A threat score of 83/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.
Related Threats
🇦🇷 Top threats from Argentina
185.64.78.10 (255)89.117.41.132 (255)89.117.41.150 (255)51.222.116.95 (240)149.22.83.98 (235)View all →Security Intelligence
💡 IoT Device Compromise Patterns
Internet of Things devices are prime targets for botnet recruitment due to weak default credentials, infrequent updates, and always-on connectivity. Compromised IoT devices generate persistent scanning and attack traffic without their owners knowledge.
💡 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.