
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 | |
| UA changed for same IP | Multiple User-Agents — bot rotation technique | +25 | |
| Danger medium hits: 21 | 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 142.147.108.176 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
IP 142.147.108.176 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
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-2026-33515 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2024-25111 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2026-33526 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2026-32748 | NVD → |
| CVE-2021-33620 | 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 This volume strongly suggests severely outdated software.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.
142.147.108.176 has been assigned a threat score of 130/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.
The following attack categories were identified:
Our monitoring infrastructure has identified 142.147.108.176, geolocated to Los Angeles, United States, operating on the network of Sprious LLC, Blazing SEO, LLC, as a source of suspicious network activity. During its 19-day observation window, we recorded 2 hostile requests from this IP — roughly 0.1 per day on average. 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 (Path Enumeration and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. United States currently accounts for 202 blocked IPs in our database, making it a significant source of malicious traffic. At 130/100, 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.
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.
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.