
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 6 | 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.
IP 38.154.98.17 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 |
| 52931 | Unknown | Low | Service on port 52931 |
| CVE ID | Link |
|---|---|
| CVE-2019-12525 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2018-1000024 | NVD → |
| CVE-2019-12521 | NVD → |
| CVE-2019-12523 | NVD → |
| CVE-2018-1000027 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2019-12519 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2020-25097 | NVD → |
| CVE-2016-10002 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2020-8517 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2020-15811 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2019-12520 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2019-18679 | NVD → |
🔴 Security scanning identified 56 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 This volume strongly suggests severely outdated software.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.
38.154.98.17 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:
Our monitoring infrastructure has identified 38.154.98.17, geolocated to Buffalo, United States, operating on the network of B2 Net Solutions Inc., as a source of suspicious network activity. During its 4-day observation window, we recorded 4 hostile requests from this IP — roughly 1 per day on average. Operating from datacenter infrastructure, this IP is typical of addresses used in organized attack operations. Cloud and VPS providers are commonly exploited as launching platforms for automated scanning. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. United States currently accounts for 177 blocked IPs in our database, making it a significant source of malicious traffic. A score of 105/100 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.
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.
Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.