IP Threat Report
41.76.213.235
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 41.76.213.235 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 41.76.213.235 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
41.76.213.235 has been assigned a threat score of 135/100 (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 41.76.213.235 originates from Johannesburg, South Africa, operating on the network of AFRIHOST SP (PTY) LTD. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 23 days in our monitoring system, producing 570 flagged requests at a rate of ~24.8/day. Our records show 101 malicious IPs originating from South Africa, positioning it as a significant contributor to global threat activity. A score of 135/100 places this address in the top tier of severity. Block and investigate any historical connections.
Related Threats
🇿🇦 Top threats from South Africa
94.156.152.43 (340)94.156.152.15 (305)34.35.175.130 (298)102.37.110.74 (280)102.37.102.243 (280)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.
💡 Watering Hole Attack Strategy
Watering hole attacks compromise websites frequently visited by target organizations. Rather than attacking targets directly, adversaries infect trusted resources, exploiting the inherent trust users place in regularly visited sites.