Security Scan Report: applegiftreward.vercel.app

Redirected to:
https://applegiftreward.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 3 countries across 4 domains to perform 22 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://applegiftreward.vercel.app/

Effective URL:
https://applegiftreward.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 94%

9
Risk Score

Impersonates Apple with a $1,000 gift-card reward lure on a non-Apple Vercel subdomain; phishing-flagged domain and fake testimonials. No credential/payment form observed.

Risk Factors (5)
Apple brand and favicon used on a non-Apple Vercel subdomain
High-value gift-card reward conditioned on completing deals
Single-source phishing threat-intelligence match for the primary domain
Unverified reward claims with testimonial-style reassurance
Shared free-hosting subdomain with unknown actual creation date
Domain age information unavailable

Details

Page Title

Apple — Claim Your $1,000 Apple Gift Card

Scan Type

public

Domain Name Analysis

The domain name 'applegiftreward.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'applegiftreward'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Breaking it apart gives two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://applegiftreward.vercel.app/

Page Load Overview

5.86s
Total Load Time
619 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,238 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
60%
e-commerce shopping
56%
adult content
51%
cryptocurrency blockchain
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
399.84.152.37Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
343.204.240.106Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
323.36.157.47Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
399.84.152.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
227--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T111F2C7227110DC7FE4174BD9B078AF3E106FD25AC60E8519E3AD8A70A783DB96D725C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:udBu6cQ2rKuTcSdiiiiPdiiiiFiiiiI60UK0C00zd0P4jlUD7uPI2VU:0cQcI76rKdZ1lUDkTG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36587:pjMcBF2CWwRgvCM5GwDESjRhiACESAmgDSEBIAN4iQAJIJMFQAhwh0cRQIMUHCEgRCYUwgGKKQxnKAiSRNYIxDhFAjYAi1VI

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:d9e6c2e7e7ffe7ff
Perceptual Hash:e361cdcd49694969
Difference Hash:324c4c4c4c040c36
Wavelet Hash:80c00001c1ffe7ff
Color Hash:#d279cc

Other Hashes

Crop Resistant:324c4c4c4c040c36

Scan History

Scan history not available

Unable to load historical scan data