ScanMalware.com

Security Scan Report: www.shamcash-mu.vercel.app

Redirected to:
https://shamcash-mu.vercel.app/
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/647476b5-636b-4bb9-8f20-e9a3d21197afDomain and IP registration (RDAP)/api/v1/rdap/647476b5-636b-4bb9-8f20-e9a3d21197afHow often this domain was scanned/api/v1/domain/stats/shamcash-mu.vercel.appScan history for this domain/api/v1/domain/history/shamcash-mu.vercel.app?limit=15
This website contacted 9 IPs in 1 country across 4 domains to perform 7 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.shamcash-mu.vercel.app/

Effective URL:
https://shamcash-mu.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Fake WhatsApp account-activation page on a vercel.app subdomain impersonating WhatsApp, with Safe Browsing Social Engineering hit and a Telegram bot token embedded for exfiltration.

Risk Factors (6)
Impersonation of WhatsApp/Meta brand on a non-official domain
Google Safe Browsing Social Engineering detection
Telegram bot token embedded in page scripts (data exfiltration channel)
Domain unranked in Cisco Umbrella with no reputation
Free hosting-platform subdomain (vercel.app) with unknown creation date and noindex-free, template-style scam content
Deceptive account-activation narrative aimed at hijacking a messaging account
Domain age information unavailable

Details

Page Title

WhatsApp

Scan Type

public

Domain Name Analysis

The domain 'www.shamcash-mu.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.shamcash-mu'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside 4 consonants. Segmentation suggests 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.shamcash-mu.vercel.app/

Page Load Overview

2.89s
Total Load Time
185 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

HTML Lang Attribute:ar
Text Length:559 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network79% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
79%
technology software
43%
phishing scam
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
764.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0185.15.59.240United States
AS14907Wikimedia Foundation Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
79--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16203C8AE15B310326953E4BEA7D722192533D413960EED493FCD43148FC2749AB62BED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hAfxbv8U+os1ERap2ufheOEvvdZq598OGof+NGGapvdRHVw2AjMoHE:hAfxbvOUadCof+NGGat1ANE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39229:rw8TURQSEM8UwCDAoID1yAgSUiCBgRsZChfIQiLkNwBVgAICgUFmmOIEfrBAiVRiDikakQ2YQF6ZJrZpICASMSBJgkEBi4FZ

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:00ffffffff00ffff
Perceptual Hash:e2715d6a62773e08
Difference Hash:1390080889550800
Wavelet Hash:00ff27270000c0d0
Color Hash:#79d2b5

Other Hashes

Crop Resistant:0800080811450021,8041418000b28288

Scan History

Scan history not available

Unable to load historical scan data