
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 2 | High-risk paths: shells, RCE vectors, exploits | +50 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| 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 14.241.117.107: 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 |
|---|---|---|---|
| 1723 | PPTP | Low | Service on port 1723 |
| 2000 | Unknown | Low | Service on port 2000 |
| 8291 | MikroTik | High | MikroTik Winbox — router management, targeted by VPNFilter malware |
⚠️ Network scanning reveals 1 dangerous service exposed on 14.241.117.107. These services should not be publicly accessible without strict firewall rules.
| CVE ID | Link |
|---|---|
| CVE-2020-20217 | NVD → |
| CVE-2020-20267 | NVD → |
| CVE-2020-20254 | NVD → |
| CVE-2020-20253 | NVD → |
| CVE-2023-32154 | NVD → |
| CVE-2022-36522 | NVD → |
| CVE-2024-54772 | NVD → |
| CVE-2023-30799 | NVD → |
| CVE-2018-5951 | NVD → |
| CVE-2020-20250 | NVD → |
| CVE-2020-20265 | NVD → |
| CVE-2021-3014 | NVD → |
| CVE-2020-20220 | NVD → |
| CVE-2023-30800 | NVD → |
| CVE-2020-20262 | NVD → |
| CVE-2021-36613 | NVD → |
| CVE-2020-20264 | NVD → |
| CVE-2020-20231 | NVD → |
| CVE-2020-20249 | NVD → |
| CVE-2020-11881 | NVD → |
| CVE-2020-20230 | NVD → |
| CVE-2022-45313 | NVD → |
| CVE-2021-36614 | NVD → |
| CVE-2020-20247 | NVD → |
| CVE-2025-6443 | NVD → |
🔴 This host has 28 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 This volume strongly suggests severely outdated software.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.
14.241.117.107 has been assigned a threat score of 85/100 (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:
14.241.117.107 is registered in Da Nang, Vietnam, operating on the network of VNPT. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/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. With 196 flagged addresses, Vietnam represents a significant presence in our threat database. 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.
Vulnerability scanning is the automated process of probing web applications for known weaknesses. Attackers use tools like Nuclei, Nikto, and ZAP to test thousands of hosts per hour, looking for exposed configuration files, outdated software, and default credentials.
Deepfake audio and video enable convincing impersonation of executives and trusted individuals. Real-time voice cloning has been used in successful fraud campaigns, adding a new dimension to social engineering that traditional security training does not address.