
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| 404 ratio >= 60% | Majority of requests returned 404 — enumeration | +25 | |
| Burst 11/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 11/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 12/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 13/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 14/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 39/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 40/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 45/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 46/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 47/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 48/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 49/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 50/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 51/10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 14 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 28 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 42 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Probe 302→404 | Behavioral anomaly detected by automated analysis | +20 |
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 26 malicious IPs from this autonomous system.
Block scanning from 103.59.161.223: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 103.59.161.223.
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.
103.59.161.223 has been assigned a threat score of 205/100 (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:
Our monitoring infrastructure has identified 103.59.161.223, geolocated to Kediri, Indonesia, operating on the network of PT Gunung Sedayu Sentosa, as a source of suspicious network activity. Our sensors captured 1,122 malicious requests from this address across a 26-day span, reflecting a sustained attack cadence of ~43.2 requests per day. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. Two attack patterns were identified (Path Enumeration and Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. Indonesia currently accounts for 1,091 blocked IPs in our database, making it a major source of malicious traffic. With a threat score of 205/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.
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.
Mobile malware reaches devices through unofficial app stores, malicious links, and even occasionally through official stores using obfuscation techniques. Banking trojans, spyware, and ransomware variants specifically designed for mobile platforms continue to proliferate.