
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Burst 13/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 19/10s | Abnormally fast request rate — automated scanning | +35 | |
| POST seen | Behavioral anomaly detected by automated analysis | +8 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
We have detected 5 malicious IPs from this autonomous system.
IP 103.178.175.171 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
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.
103.178.175.171 has been assigned a threat score of 78/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.
The following attack categories were identified:
103.178.175.171 is registered in Cirebon, Indonesia, operating on the network of PT Cloud Teknologi Nusantara. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 6 days, this IP generated 336 malicious requests, averaging approximately 56 requests per 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. The IP is engaged in request flooding, sending traffic at rates designed to exhaust server capacity. With 1,097 flagged addresses, Indonesia represents a major presence in our threat database. At 78/100, this IP warrants immediate defensive action.
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.
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.
Cross-Origin Resource Sharing misconfigurations can expose sensitive APIs to unauthorized origins. Wildcard policies, reflected origins, and null origin allowlisting create vulnerabilities that attackers exploit for data theft and unauthorized actions.