
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 6 | Medium-risk: admin panels, config files | +60 | |
| 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 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 64.188.5.84 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
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 |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 1344 | Unknown | Low | Service on port 1344 |
| 3128 | Unknown | Low | Service on port 3128 |
| 8000 | Unknown | Low | Service on port 8000 |
| 8080 | HTTP-Alt | Low | HTTP alternative port — often used for admin panels or proxies |
| 8800 | Unknown | Low | Service on port 8800 |
| CVE ID | Link |
|---|---|
| CVE-2025-54574 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2019-12519 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2019-12525 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2019-12529 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2019-18678 | NVD → |
| CVE-2020-8450 | NVD → |
| CVE-2020-15049 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2019-12526 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2016-10003 | NVD → |
| CVE-2019-12521 | NVD → |
🔴 This host has 56 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 This volume strongly suggests severely outdated software.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.
64.188.5.84 has been assigned a threat score of 105/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.
The following attack categories were identified:
64.188.5.84 is registered in Los Angeles, United States, operating on the network of HostPapa. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. 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.
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.
False positives erode trust in security systems and waste analyst resources. Effective management requires feedback loops, allowlisting mechanisms, contextual analysis, and regular tuning of detection rules based on operational experience.