IP Threat Report
92.4.85.129
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| Malicious Activity | Behavioral anomaly detected by automated analysis | +0 | |
| POST seen | Behavioral anomaly detected by automated analysis | +8 | |
| UA bot: python | Known bot/crawler User-Agent detected | +40 | |
| UA changed | Multiple User-Agents — bot rotation technique | +25 |
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 92.4.85.129 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
🤖 Bot Detection
Address UA spoofing from 92.4.85.129: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
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
92.4.85.129 has been assigned a threat score of 73/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.
The following attack categories were identified:
📊 Threat Analysis
Our monitoring infrastructure has identified 92.4.85.129, geolocated to Mumbai, India, operating on the network of TalkTalk, as a source of suspicious network activity. The address has been active for 22 days in our monitoring system, producing 820 flagged requests at a rate of ~37.3/day. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. Our records show 101 malicious IPs originating from India, positioning it as a significant contributor to global threat activity. The score of 73/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.
Related Threats
Security Intelligence
💡 TLS Fingerprinting (JA3/JA4)
TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.
💡 Mobile Network Threat Landscape
Mobile carrier NAT (CGNAT) means thousands of users share a single public IP, making mobile IPs unreliable for reputation scoring. However, mobile networks are increasingly used as attack platforms through compromised apps and malicious SDKs.