Security Scan Report: snaply-git-main-khadir-salims-projects.vercel.app

Redirected to:
https://snaply-git-main-khadir-salims-projects.vercel.app/account/Logi...
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Submitted: Jul 17, 2026, 12:45:12 PMCompleted: Jul 17, 2026, 12:46:33 PMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is snaply-git-main-khadir-salims-projects.vercel.app and was registered NaN years ago.

Submitted URL: https://snaply-git-main-khadir-salims-projects.vercel.app/Signup

Effective URL: https://snaply-git-main-khadir-salims-projects.vercel.app/account/LoginRedirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site impersonates Instagram/Meta and harvests login credentials on an unranked Vercel subdomain; treat as high‑risk phishing.

Risk Factors
Brand impersonation on mismatched domain
Credential collection form on unknown‑age subdomain
Unranked domain in Cisco Umbrella
Domain age information unavailable

Details

Page Title

Instagram Clone

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(91%)

Domain Information

The domain 'snaply-git-main-khadir-salims-projects.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'snaply-git-main-khadir-salims-projects'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. Tokenizing the label suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://snaply-git-main-khadir-salims-projects.vercel.app/Signup

Page Load Overview

11.87s
Total Load Time
24
HTTP Requests
1
Domains
540 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:206 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
91%
technology software
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2464.29.17.195United States
AS16509Amazon.com, Inc.
241--

Page Statistics

24
Requests
1
Unique Domains
548.1 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18352943D6401CD8BAC276E45153E9D3E508DD97B8B75CAEC92CCCA261A4287A6FD2DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GvSBpYAANZuKc8n5G/O0nL8fb+eBqXJmig5PWzIYaEgnqzcJmNXr5b:2S/YnbuO5G20nL8T+efLtIR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14409:hXEAUIoRad1lQgjANOUFCKISAqkCDNQIBA1kKBxDADENUACASEAwVQRFjYHdM8YTGoCoaQYACIHjBKAwI1B7ypcEAGnLA9BE

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

Average Hash:cfcfc3cfefffffff
Perceptual Hash:b131cece8331ccce
Difference Hash:9e9a9e9e18040c00
Wavelet Hash:c3c3c3c30303033f
Color Hash:#d2b12d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data