
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 2 | Medium-risk: admin panels, config files | +20 | |
| 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: 10 | Medium-risk: admin panels, config files | +60 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 |
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 147.53.114.57: 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-2021-31807 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2026-33526 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2026-33515 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2024-25111 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2026-32748 | NVD → |
🔴 This host has 30 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 This volume strongly suggests severely outdated software.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.
147.53.114.57 has been assigned a threat score of 85/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
The following attack categories were identified:
147.53.114.57 is registered in Pittsburgh, United States, operating on the network of Blazing SEO. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 7 malicious requests from this address across a 27-day span, reflecting a sustained attack cadence of ~0.3 requests per 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. Our records show 207 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. A threat score of 85/100 places this IP in the high-risk category. Blocking at the firewall level is 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.
WordPress sites face constant automated attacks targeting xmlrpc.php for brute force amplification, wp-login.php for credential theft, and vulnerable plugins for remote code execution. Over 90% of CMS-based attacks specifically target WordPress installations.
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.