Summary
This website contacted 10 IPs in 4 countries across 11 domains to perform 111 HTTP transactions. The main domain is app.teamflect.com and was registered NaN years ago.
Submitted URL: https://app.teamflect.com
Effective URL: https://app.teamflect.com/getstartedRedirected
The Cisco Umbrella rank of the primary domain is #348,015 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 78%
Site impersonates Microsoft on a low‑ranked domain; treat as high‑risk brand impersonation.
Risk Factors
Details
Page Title
Teamflect App
Scan Type
public
Language
English
Category
technology software
(38%)Domain Information
You're looking at domain 'app.teamflect.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'app'. Count 9 characters in 'teamflect' holding three vowels versus 6 consonants. Splitting it apart reveals 3 words: team, f, lect. Median word length comes out to 4 characters. 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 |
|---|---|---|---|
| 15 | 20.40.202.24 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 13 | 35.190.25.25 | Germany | |
| 13 | 65.9.175.117 | Netherlands | |
| 13 | 52.239.169.4 | Washington, Virginia, United States | AS8075Microsoft Corporation |
| 13 | 23.48.23.30 | Unknown | |
| 13 | 23.197.135.87 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 13 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 13 | 104.16.141.209 | Unknown | |
| 13 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 13 | 51.124.12.35 | Unknown | Unknown |
| 132 | 10 | - | - |
Detected Technologies1
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