Security Scan Report: applegiftreward.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 3 countries across 4 domains to perform 20 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Apple gift-card reward page on a vercel.app subdomain, using Apple's brand and favicon to lure users into completing 'deals'. No credential form, but clear reward-scam impersonation.

Risk Factors (5)
Apple branding and favicon on a non-Apple domain (brand impersonation)
Gift card reward contingent on completing third-party 'deals' (survey/reward scam funnel)
Unsubstantiated 'legitimate'/'verified' claims and fake testimonials embedded in page text
Unranked subdomain on a free hosting platform with unknown creation date
Outbound analytics/script traffic to appanalytics.rocket.new (low-ranked third-party host)
Domain age information unavailable

Details

Page Title

Apple — Claim Your $1,000 Apple Gift Card

Scan Type

public

Domain Name Analysis

Domain 'applegiftreward.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'applegiftreward'. The second-level label 'vercel' is 6 characters long with two vowels and 4 consonants. Tokenizing the label suggests two 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 https://applegiftreward.vercel.app/

Page Load Overview

1.76s
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
664.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
299.84.152.81Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
243.204.240.106Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
223.52.180.240Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
299.84.152.118Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
299.84.152.37Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
208--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9F2C7227100DC7EE4174BD9B178AF3E106FD25AC60E8519E3AD8A70A783DB96D725C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:bdBu6cQ2rKuTcEtiiiiPbiiiibiiiiG60UK0C00zd0ZmjlUD7uPI2VU:hcQcIP6rKdZ5lUDkTG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36513:qWV4OREWFBIjAAYZEdCAWCAJrBilbEBKaSskQAGDWAg7AKxAQYGrSAK3CCkEKcBEqA/kRSgACRLL0FQgJCgkQgIOMmImAbFI

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:88c00001c1ffe7ff
Color Hash:#6a2d86

Other Hashes

Crop Resistant:324c4c4c4c040c36

Scan History

Scan history not available

Unable to load historical scan data