
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA changed for same IP | Multiple User-Agents — bot rotation technique | +25 | |
| Danger medium hits: 14 | Medium-risk: admin panels, config files | +60 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Danger medium hits: 3 | Medium-risk: admin panels, config files | +30 | |
| Danger medium hits: 7 | Medium-risk: admin panels, config files | +60 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 141.164.86.211 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
Block scanning from 141.164.86.211: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 4444 | Unknown | Low | Service on port 4444 |
| 8000 | Unknown | Low | Service on port 8000 |
| CVE ID | Link |
|---|---|
| CVE-2025-59362 | NVD → |
| CVE-2026-33515 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2026-33526 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2024-25111 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2026-32748 | NVD → |
🔴 Security scanning identified 30 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.
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.
141.164.86.211 has been assigned a threat score of 130/100 (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:
Threat intelligence analysis has linked 141.164.86.211 to malicious activity originating from Los Angeles, United States, operating on the network of Sprious LLC. The address has been under observation since its initial detection. The address has been active for 12 days in our monitoring system, producing 3 flagged requests at a rate of ~0.3/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 (User-Agent Anomaly and Path Enumeration), suggesting a semi-automated campaign that targets multiple vulnerabilities. With 206 flagged addresses, United States represents a significant presence in our threat database. A score of 130/100 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.
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.
Threat scoring combines multiple signals — request patterns, known signatures, IP reputation, geographic risk, and behavioral analysis — into a single actionable metric. Weighted scoring models allow tuning sensitivity to balance security with usability.