Summary
This website contacted 4 IPs in 1 country across 4 domains to perform 15 HTTP transactions. The main domain is app.fbtm.com and was registered NaN years ago.
Submitted URL: https://app.fbtm.com
Effective URL: https://app.fbtm.com/Account/Login?ReturnUrl=%2F#/Redirected
AI Security Verdict
Moderate Risk
Confidence: 68%
Site appears legitimate but the login form lacks a username field, which is unusual; proceed cautiously.
Risk Factors
Safety Factors
Details
Page Title
FBTM
Scan Type
public
Language
English
Category
government public service
(37%)Domain Information
Within the commercial generic top-level domain (.com), 'app.fbtm.com' is registered; it also runs on subdomain 'app'. Count 4 characters in 'fbtm' holding 0 vowels versus four consonants. Breaking it apart gives 2 words: fb, tm. Expect two characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 4 | 172.217.16.202 | United States | |
| 3 | 142.251.140.163 | United States | |
| 3 | 52.162.107.9 | Chicago, Illinois, United States | AS8075Microsoft Corporation |
| 3 | 151.101.1.229 | United States | Unknown |
| 13 | 4 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data