Summary
This website contacted 9 IPs in 2 countries across 9 domains to perform 1 HTTP transaction. The main domain is support.microsoft.com and was registered NaN years ago.
Submitted URL: https://dropbox-ewgrjetkmlkgjnrelkntlks.pages.dev/
Effective URL: https://support.microsoft.com/en-us/office/fix-onedrive-sync-problems-0899b115-05f7-45ec-95b2-e4cc8c4670b2Redirected
AI Security Verdict
Moderate Risk
Confidence: 94%
The site pretends to be Microsoft support, uses a brand‑new pages.dev subdomain, contains a password‑only field and heavily obfuscated JavaScript, indicating credential phishing.
Risk Factors
Safety Factors
Details
Page Title
Fix OneDrive sync problems - Microsoft Support
Scan Type
public
Language
English
Category
technology software
(63%)Domain Information
Domain 'dropbox-ewgrjetkmlkgjnrelkntlks.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'dropbox-ewgrjetkmlkgjnrelkntlks'. The core label 'pages' covers 5 characters holding two vowels versus 3 consonants. Splitting it apart reveals 1 word: pages. 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 |
|---|---|---|---|
| 17 | 150.171.109.193 | United States | |
| 10 | 40.126.31.67 | Germany | |
| 10 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 10 | 23.52.181.212 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 10 | 192.178.183.95 | Unknown | |
| 10 | 40.79.197.34 | Unknown | Unknown |
| 10 | 23.197.128.15 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 10 | 150.171.109.100 | United States | AS8075Microsoft Corporation |
| 10 | 172.66.44.96 | United States | AS13335Cloudflare, Inc. |
| 97 | 9 | - | - |
Detected Technologies7
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