IP Threat Report
217.116.58.177
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA bot: node-fetch | Known bot/crawler User-Agent detected | +40 | |
| Danger medium hits: 2 | Medium-risk: admin panels, config files | +20 | |
| POST requests present | Behavioral anomaly detected by automated analysis | +8 | |
| Danger medium hits: 121 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 132 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 133 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 134 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 135 | Medium-risk: admin panels, config files | +60 | |
| Burst: 7 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Danger medium hits: 131 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 122 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 136 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 137 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 75 | Medium-risk: admin panels, config files | +60 |
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
Network Provider
Recommendations
Actions taken & recommended
- IP 217.116.58.177 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 217.116.58.0/24
- Report abuse to the network provider via their abuse contact
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
🤖 Bot Detection
Address UA spoofing from 217.116.58.177: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
🌊 Traffic Flood Defense
IP 217.116.58.177 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
Neighbors in 217.116.58.0/24
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
217.116.58.177 has been assigned a threat score of 108/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.
The following attack categories were identified:
📊 Threat Analysis
Network traffic from 217.116.58.177, located in Tyumen, Russia, operating on the network of Russian company LLC, has been classified as malicious by our automated threat scoring engine. The address has been active for 3 days in our monitoring system, producing 76 flagged requests at a rate of ~25.3/day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. Two attack patterns were identified (User-Agent Anomaly and Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. Russia currently accounts for 122 blocked IPs in our database, making it a significant source of malicious traffic. A score of 108/100 places this address in the top tier of severity. Block and investigate any historical connections.
This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.
Related Threats
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.
💡 Log Correlation and SIEM Integration
Correlating logs across web servers, firewalls, DNS, and authentication systems reveals attack patterns invisible in individual log sources. Modern SIEM platforms use statistical analysis to connect related events across time and systems.