
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 4 | Medium-risk: admin panels, config files | +40 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Danger medium hits: 10 | Medium-risk: admin panels, config files | +60 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 216.158.192.225 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 |
| 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 |
| 21242 | Unknown | Low | Service on port 21242 |
| CVE ID | Link |
|---|---|
| CVE-2014-6270 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2014-7142 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2011-3205 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2019-12519 | NVD → |
| CVE-2014-3609 | NVD → |
| CVE-2015-5400 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2016-2571 | NVD → |
| CVE-2020-15811 | NVD → |
| CVE-2014-7141 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2011-4096 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2020-8517 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2019-18860 | NVD → |
| CVE-2018-19132 | NVD → |
🔴 Security scanning identified 74 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.
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.
216.158.192.225 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:
IP address 216.158.192.225 has been traced to Los Angeles, United States, operating on the network of Aventice LLC. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 20 days, this IP generated 3 malicious requests, averaging approximately 0.2 requests per day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. With 124 flagged addresses, United States represents a significant presence in our threat database. 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.
Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.
TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.