
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Directory Scan | Behavioral anomaly detected by automated analysis | +0 | |
| DDoS / Flood | Behavioral anomaly detected by automated analysis | +0 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Add 124.117.194.129 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
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.
124.117.194.129 has been assigned a threat score of 85/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
IP address 124.117.194.129 has been traced to Xingfulu, China, operating on the network of Xinjiang Network of ChinaTelecom. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Our sensors captured 192 malicious requests from this address across a 17-day span, reflecting a sustained attack cadence of ~11.3 requests per day. With 136 flagged addresses, China represents a significant presence in our threat database. At 85/100, this IP warrants immediate defensive action.
Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.
Honeypots are decoy systems designed to attract and study attackers. Networks of honeypots provide early warning of new attack campaigns, reveal attacker tools and techniques, and generate high-confidence threat intelligence with minimal false positives.