
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 | |
| 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 38.154.116.219 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 |
| 52931 | Unknown | Low | Service on port 52931 |
| 52951 | Unknown | Low | Service on port 52951 |
| CVE ID | Link |
|---|---|
| CVE-2021-28116 | NVD → |
| CVE-2026-32748 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2019-18860 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2019-12522 | NVD → |
| CVE-2019-18679 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2018-19131 | NVD → |
| CVE-2020-25097 | NVD → |
| CVE-2016-10003 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2018-1000024 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2019-12528 | NVD → |
| CVE-2020-15049 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2019-12521 | NVD → |
| CVE-2020-8517 | NVD → |
| CVE-2019-12524 | NVD → |
🔴 Security scanning identified 59 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 This volume strongly suggests severely outdated software.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.
38.154.116.219 has been assigned a threat score of 95/100 (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:
IP address 38.154.116.219 has been traced to Buffalo, United States, operating on the network of B2 Net Solutions Inc.. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. This address belongs to a datacenter or cloud hosting provider. Hosting IPs are frequently leveraged by threat actors who rent cheap VPS instances specifically for conducting attacks. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. With 181 flagged addresses, United States represents a significant presence in our threat database. A score of 95/100 places this address in the top tier of severity. Block and investigate any historical connections.
This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.
Prototype pollution manipulates JavaScript object prototypes to inject properties that affect all objects in an application. This can lead to denial of service, property injection, and in some cases remote code execution in Node.js applications.
Honeypots are decoy systems designed to attract and study attackers. Networks of honeypots provide early warning of new attack campaigns, reveal attacker tools and techniques, and generate high-confidence threat intelligence with minimal false positives.