
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA changed for same IP | Multiple User-Agents — bot rotation technique | +25 | |
| Danger strong hits: 30 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 44 | Medium-risk: admin panels, config files | +60 | |
| Burst: 37 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 46 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 145 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 268 | Medium-risk: admin panels, config files | +60 | |
| Burst: 38 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 133 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 258 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 536 | Medium-risk: admin panels, config files | +60 | |
| Burst: 76 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 200 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 113 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Burst: 135 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 134 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 139 req / 10s | Abnormally fast request rate — automated scanning | +35 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Address UA spoofing from 103.138.124.6: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
IP 103.138.124.6 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 1443 | Unknown | Low | Service on port 1443 |
| 4000 | Unknown | Low | Service on port 4000 |
| 6881 | Unknown | Low | Service on port 6881 |
| 7443 | Unknown | Low | Service on port 7443 |
| 8443 | HTTPS-Alt | Low | Service on port 8443 |
Data source: Shodan InternetDB. Scanned independently of abuse.mom.
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.
103.138.124.6 has been assigned a threat score of 255/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.
The following attack categories were identified:
The address 103.138.124.6 originates from Singapore, Singapore, operating on the network of HostRoyale Technologies Pvt Ltd. It was identified through automated analysis of incoming network traffic across monitored endpoints. During its 1-day observation window, we recorded 6 hostile requests from this IP — roughly 6 per day on average. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The dual attack vectors of User-Agent Anomaly combined with Request Flooding indicate a coordinated assault rather than opportunistic scanning. A score of 255/100 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.
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.
BEC attacks use compromised or spoofed executive email accounts to request fraudulent wire transfers or sensitive data. These attacks cause billions in annual losses and rely on social engineering rather than technical exploitation.