
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 | |
| Burst: 5 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| 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 38.154.117.40: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
IP 38.154.117.40 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
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 |
| CVE ID | Link |
|---|---|
| CVE-2021-28116 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2018-19131 | NVD → |
| CVE-2016-10003 | NVD → |
| CVE-2019-12526 | NVD → |
| CVE-2026-33515 | NVD → |
| CVE-2019-12519 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2019-12523 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2019-12521 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2019-12528 | NVD → |
| CVE-2026-32748 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2020-8450 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2018-19132 | NVD → |
| CVE-2023-46724 | 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 This volume strongly suggests severely outdated software.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.
38.154.117.40 has been assigned a threat score of 140/100 (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 38.154.117.40, geolocated to Buffalo, United States, operating on the network of B2 Net Solutions Inc., as a source of suspicious network activity. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~1 requests per day. 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. Two attack patterns were identified (Path Enumeration and Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. United States currently accounts for 77 blocked IPs in our database, making it a notable source of malicious traffic. At 140/100, this is an extremely high-risk address. All traffic should be considered hostile.
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.
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.
Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.