
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA changed for same IP | Multiple User-Agents — bot rotation technique | +25 | |
| Foreign referer seen | Referer from unrelated external domain | +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.
IP 38.102.85.4 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
Block scanning from 38.102.85.4: 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 |
|---|---|---|---|
| 21 | FTP | Medium | File Transfer Protocol — often targeted for anonymous login attacks |
| 22 | SSH | Low | Secure Shell — common brute force target for remote access |
| 25 | SMTP | Medium | SMTP mail server — can be abused for spam relay |
| 110 | POP3 | Low | Service on port 110 |
| 143 | IMAP | Low | Service on port 143 |
| 465 | Unknown | Low | Service on port 465 |
| 587 | Unknown | Low | Service on port 587 |
| 993 | IMAPS | Low | Service on port 993 |
| 995 | POP3S | Low | Service on port 995 |
| 2083 | Unknown | Low | Service on port 2083 |
| 5053 | Unknown | Low | Service on port 5053 |
| 7777 | Unknown | Low | Service on port 7777 |
| 8888 | HTTP-Alt | Low | Service on port 8888 |
| 9443 | Unknown | Low | Service on port 9443 |
| 10443 | Unknown | Low | Service on port 10443 |
⚠️ 1 high-risk port detected on 38.102.85.4. These services should not be publicly accessible without strict firewall rules.
| CVE ID | Link |
|---|---|
| CVE-2023-51766 | NVD → |
| CVE-2026-40687 | NVD → |
| CVE-2026-40686 | NVD → |
| CVE-2025-30232 | NVD → |
| CVE-2026-40684 | NVD → |
| CVE-2025-67896 | NVD → |
| CVE-2024-39929 | NVD → |
| CVE-2026-40685 | NVD → |
🔴 This host has 8 known CVEs associated with its exposed services. Multiple vulnerabilities suggest gaps in patch management. Review each CVE in the NVD database.
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.
38.102.85.4 has been assigned a threat score of 60/100 (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:
Network traffic from 38.102.85.4, located in Montreal, Canada, operating on the network of Rica Web Services, has been classified as malicious by our automated threat scoring engine. The address has been active for 6 days in our monitoring system, producing 21 flagged requests at a rate of ~3.5/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. Two attack patterns were identified (User-Agent Anomaly and Path Enumeration), suggesting a semi-automated campaign that targets multiple vulnerabilities. With 103 flagged addresses, Canada represents a significant presence in our threat database. The score of 60/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.
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.
TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.
Signature-based detection matches known attack patterns but misses novel threats. Behavioral analysis identifies anomalies in request patterns, timing, and volume, catching zero-day attacks that signatures cannot recognize.