Security Scan Report: shamcash-mu.vercel.app

Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 3 domains to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://shamcash-mu.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Fake WhatsApp activation page on a free Vercel subdomain that harvests phone numbers and ships them to a Telegram bot; flagged by Safe Browsing for social engineering. Do not enter any number.

Risk Factors (6)
Brand impersonation of WhatsApp on a free Vercel subdomain that is not an official WhatsApp domain
Telegram-bot exfiltration code embedded in an inline script
Google Safe Browsing Social Engineering threat on the URL
Unverified phishing report against the primary domain (single source)
Harvesting of phone numbers under a false 'account activation' pretext with fake support/error messages ('جهازك غير مدعوم', 'يجب تسجيل الدخول أولاً')
Free shared-hosting subdomain with no independent reputation (not in Cisco Umbrella top 1M)
Domain age information unavailable

Details

Page Title

WhatsApp

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'shamcash-mu.vercel.app' is registered and includes subdomain 'shamcash-mu'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. Tokenizing the label suggests 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

< WhatsApp lus! dueat 8452 30 JS Gluily le chbu> ands aia

Page Load Overview

0.31s
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
564.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0185.15.59.240United States
AS14907Wikimedia Foundation Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
56--

Detected Technologies2

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:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data