
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Danger medium hits: 2 | Medium-risk: admin panels, config files | +20 | |
| Danger medium hits: 6 | Medium-risk: admin panels, config files | +60 | |
| Foreign referer | Referer from unrelated external domain | +10 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Probe 302→404 | Behavioral anomaly detected by automated analysis | +20 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 |
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 147.53.115.22: 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-2021-33620 | NVD → |
| CVE-2024-25111 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2025-59362 | 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 This volume strongly suggests severely outdated software.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.
147.53.115.22 has been assigned a threat score of 105/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.
The following attack categories were identified:
147.53.115.22 is registered in Buffalo, United States, operating on the network of Blazing SEO. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. The address has been active for 88 days in our monitoring system, producing 77 flagged requests at a rate of ~0.9/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 201 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. 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.
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.
Insider threats — whether malicious or negligent — account for a significant percentage of data breaches. Behavioral analytics detecting unusual access patterns, data downloads, and privilege escalation help identify insider risks before damage occurs.