
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 3 | High-risk paths: shells, RCE vectors, exploits | +75 | |
| Danger medium hits: 2 | Medium-risk: admin panels, config files | +20 | |
| POST requests present | Behavioral anomaly detected by automated analysis | +8 | |
| Danger strong hits: 1 | High-risk paths: shells, RCE vectors, exploits | +25 | |
| Danger medium hits: 1 | Medium-risk: admin panels, config files | +10 | |
| 404 ratio >= 60% | Majority of requests returned 404 — enumeration | +25 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Block scanning from 200.158.181.5: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 6000 | Unknown | Low | Service on port 6000 |
| 6001 | Unknown | Low | Service on port 6001 |
| 6002 | Unknown | Low | Service on port 6002 |
| 6003 | Unknown | Low | Service on port 6003 |
| 6004 | Unknown | Low | Service on port 6004 |
| 6005 | Unknown | Low | Service on port 6005 |
| 6006 | Unknown | Low | Service on port 6006 |
| 6007 | Unknown | Low | Service on port 6007 |
| 6008 | Unknown | Low | Service on port 6008 |
| 6009 | Unknown | Low | Service on port 6009 |
| 6010 | Unknown | Low | Service on port 6010 |
| 6011 | Unknown | Low | Service on port 6011 |
| 6020 | Unknown | Low | Service on port 6020 |
| 6021 | Unknown | Low | Service on port 6021 |
| 6022 | Unknown | Low | Service on port 6022 |
| 6036 | Unknown | Low | Service on port 6036 |
| 6050 | Unknown | Low | Service on port 6050 |
| 6060 | Unknown | Low | Service on port 6060 |
| 6061 | Unknown | Low | Service on port 6061 |
| 6070 | Unknown | Low | Service on port 6070 |
| 6080 | Unknown | Low | Service on port 6080 |
| 6081 | Unknown | Low | Service on port 6081 |
| 8081 | Unknown | Low | Service on port 8081 |
| 8084 | Unknown | Low | Service on port 8084 |
| 8089 | Unknown | Low | Service on port 8089 |
| 8090 | Unknown | Low | Service on port 8090 |
| 8291 | MikroTik | High | MikroTik Winbox — router management, targeted by VPNFilter malware |
| 10050 | Unknown | Low | Service on port 10050 |
| 61617 | Unknown | Low | Service on port 61617 |
⚠️ 1 high-risk port detected on 200.158.181.5. These services should not be publicly accessible without strict firewall rules.
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.
200.158.181.5 has been assigned a threat score of 103/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
The following attack categories were identified:
IP address 200.158.181.5 has been traced to Botucatu, Brazil, operating on the network of Vivo. Our threat detection systems have flagged this address based on observed malicious behavior patterns. The address has been active for 3 days in our monitoring system, producing 3 flagged requests at a rate of ~1/day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. Brazil currently accounts for 151 blocked IPs in our database, making it a significant source of malicious traffic. A score of 103/100 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.
Request smuggling exploits differences in how front-end and back-end servers parse HTTP requests. This technique can bypass security controls, poison web caches, and hijack other users sessions by desynchronizing request boundaries.
Deepfake audio and video enable convincing impersonation of executives and trusted individuals. Real-time voice cloning has been used in successful fraud campaigns, adding a new dimension to social engineering that traditional security training does not address.