
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Foreign referer | Referer from unrelated external domain | +10 | |
| Form spam: no_js_check | Spam/malware keywords in request content | +0 | |
| POST seen | Behavioral anomaly detected by automated analysis | +8 | |
| Probe 302→404 | Behavioral anomaly detected by automated analysis | +20 | |
| spam:no_js_check | Spam/malware keywords in request content | +0 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Enable CAPTCHA on all public forms. Add honeypot fields. Rate-limit submissions to 3 per minute per IP. Deploy Akismet or CleanTalk.
Block scanning from 38.141.62.191: 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 |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| CVE ID | Link |
|---|---|
| CVE-2022-37436 | NVD → |
| CVE-2013-6712 | NVD → |
| CVE-2018-10549 | NVD → |
| CVE-2022-31813 | NVD → |
| CVE-2016-6289 | NVD → |
| CVE-2016-10397 | NVD → |
| CVE-2016-9138 | NVD → |
| CVE-2016-5096 | NVD → |
| CVE-2015-4644 | NVD → |
| CVE-2018-10547 | NVD → |
| CVE-2016-4070 | NVD → |
| CVE-2014-0118 | NVD → |
| CVE-2017-9798 | NVD → |
| CVE-2014-9767 | NVD → |
| CVE-2016-9934 | NVD → |
| CVE-2024-42516 | NVD → |
| CVE-2016-5399 | NVD → |
| CVE-2014-0117 | NVD → |
| CVE-2015-8877 | NVD → |
| CVE-2014-3538 | NVD → |
| CVE-2019-0217 | NVD → |
| CVE-2016-4541 | NVD → |
| CVE-2022-22720 | NVD → |
| CVE-2016-1903 | NVD → |
| CVE-2019-0220 | NVD → |
🔴 This host has 331 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 This volume strongly suggests severely outdated software.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.
38.141.62.191 has been assigned a threat score of 95/100 (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 38.141.62.191 originates from Chicago, United States, operating on the network of Cogent Communications. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 6 days in our monitoring system, producing 256 flagged requests at a rate of ~42.7/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. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. Our records show 186 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. At 95/100, 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.
Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.