
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 10 | 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.
Block scanning from 173.232.127.242: 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 |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 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 |
| 52931 | Unknown | Low | Service on port 52931 |
| 52951 | Unknown | Low | Service on port 52951 |
| CVE ID | Link |
|---|---|
| CVE-2023-49285 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2026-33526 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2016-4553 | NVD → |
| CVE-2020-15049 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2026-33515 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2016-3947 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2016-10002 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2019-18679 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2019-12522 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2023-49286 | NVD → |
🔴 This host has 59 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 This volume strongly suggests severely outdated software.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.
173.232.127.242 has been assigned a threat score of 105/100 (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:
The address 173.232.127.242 originates from Dallas, United States, operating on the network of Eonix Corporation. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/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. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. Our records show 133 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. 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.
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.
Internet of Things devices are prime targets for botnet recruitment due to weak default credentials, infrequent updates, and always-on connectivity. Compromised IoT devices generate persistent scanning and attack traffic without their owners knowledge.