Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is instagram-usman-haider.vercel.app and was registered NaN years ago.
Submitted URL: https://instagram-usman-haider.vercel.app/
Effective URL: https://instagram-usman-haider.vercel.app/signupRedirected
AI Security Verdict
High Risk
Confidence: 85%
The site impersonates Instagram and harvests credentials; treat as high‑risk phishing.
Risk Factors
Details
Page Title
Scan Type
public
Language
English
Category
social media network
(98%)Domain Information
You're looking at domain 'instagram-usman-haider.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'instagram-usman-haider'. The second-level label 'vercel' is 6 characters long split between 2 vowels and four consonants. Segmentation suggests 2 words: ver, cel. Median word length is three 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 |
|---|---|---|---|
| 9 | 146.75.121.137Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 9 | 64.29.17.131 | United States | AS16509Amazon.com, Inc. |
| 18 | 2 | - | - |
Page Statistics
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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