
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 3 | Medium-risk: admin panels, config files | +30 | |
| 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: 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.
Block scanning from 167.160.69.218: 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 |
|---|---|---|---|
| 4444 | Unknown | Low | Service on port 4444 |
| 8000 | Unknown | Low | Service on port 8000 |
| CVE ID | Link |
|---|---|
| CVE-2023-49285 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2024-25111 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2023-46728 | NVD → |
🔴 Security scanning identified 27 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 This volume strongly suggests severely outdated software.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.
167.160.69.218 has been assigned a threat score of 105/100 (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 167.160.69.218 to malicious activity originating from Secaucus, 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 19 days in our monitoring system, producing 4 flagged requests at a rate of ~0.2/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. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. United States currently accounts for 202 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 105/100, 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.
SQL injection remains one of the most common web attack vectors. Attackers inject malicious SQL code through input fields to extract database contents, modify data, or gain administrative access. Automated scanners test for SQLi vulnerabilities at massive scale.
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.