Security Scan Report: glamour-app-peach.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 3 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://glamour-app-peach.vercel.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Apple iCloud 'storage full' page on a vercel.app subdomain, using Apple's favicon and copyright to impersonate the brand, gated by a human-verification check and wired to a Telegram bot for data exfiltration. High-risk phishing.

Risk Factors (6)
Brand impersonation of Apple/iCloud on a non-Apple, shared-hosting vercel.app subdomain
Apple favicon served from a non-Apple host
Telegram bot token embedded in page scripts (exfiltration channel)
Threat-intel phishing report on the primary domain
IDS alerts for actor-abused cloud hosting service (vercel.app) in DNS query and TLS SNI
Fabricated storage-quota urgency ('4.98 GB of 5 GB used', 'Action required to prevent data loss')
Domain age information unavailable

Details

Page Title

iCloud - Storage Full

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'glamour-app-peach.vercel.app' is registered, featuring subdomain 'glamour-app-peach'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. It segments into 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://glamour-app-peach.vercel.app/

Page Load Overview

0.52s
Total Load Time
975 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:500 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software56% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
56%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
123.36.157.47Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
116--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C1242666AA301557C13E8A92FF7674A2664C003D14FCD683FDD63488F89AE8D96378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:lTveIyvc7dfUXyzps9Fj0FFRV5tEdJyqbkplwGTVWyG:MMp0FyFcqekpl9TQH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9660:EMRkAAAkI5InAAgFy1AhAp0JJpBmBkJArgMzoGicBaUKCZTiiIMkoEWngQoIowKkBASPYhmJACCLaYAByEAkTogACgKhQgQ6

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:ffffffe7e7e7ffff
Perceptual Hash:e6999966669989cc
Difference Hash:0000000c0c0c0000
Wavelet Hash:0f07272727270f0f
Color Hash:#8479d2

Other Hashes

Crop Resistant:0000000c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data