
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 | |
| Danger medium hits: 6 | 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 162.244.147.139: 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-2023-49288 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2024-25111 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2023-5824 | NVD → |
🔴 This host has 27 known CVEs associated with its exposed services. This volume strongly suggests severely outdated software. 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.
162.244.147.139 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:
The address 162.244.147.139 originates from New York, United States, operating on the network of Sprious LLC, Blazing SEO, LLC. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 20 days in our monitoring system, producing 3 flagged requests at a rate of ~0.2/day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. United States currently accounts for 201 blocked IPs in our database, making it a significant source of malicious traffic. At 105/100, this is an extremely high-risk address. All traffic should be considered hostile.
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.
Brute force attacks systematically try username and password combinations to gain unauthorized access. Modern attacks leverage credential databases from previous breaches, testing millions of combinations using distributed botnets across multiple IP addresses.
Correlating logs across web servers, firewalls, DNS, and authentication systems reveals attack patterns invisible in individual log sources. Modern SIEM platforms use statistical analysis to connect related events across time and systems.