Security Scan Report: www.applegiftreward.vercel.app

Redirected to:
https://applegiftreward.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 3 countries across 5 domains to perform 22 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

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

AI Security Verdict

Confirmed Scam

Confidence: 90%

9
Risk Score

Fake 'Apple Reward Program' on a vercel.app subdomain using Apple's branding and favicon to push a $1,000 gift-card deal-completion scheme; flagged as phishing in threat intel. Do not engage.

Risk Factors (5)
Impersonation of Apple's brand, logo/favicon and reward program on a non-Apple domain
Deal-completion reward scheme requiring users to sign up for third-party offers before receiving a supposed prize
Fabricated testimonials used to manufacture credibility
Unranked host on a free shared-hosting namespace (vercel.app) with unknown creation date
Phishing reports against the exact hostname in threat intelligence
Domain age information unavailable

Details

Page Title

Apple — Claim Your $1,000 Apple Gift Card

Scan Type

public

Domain Name Analysis

Domain 'www.applegiftreward.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.applegiftreward'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. Word splitting yields two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

@ Apple © APPLE REWARD PROGRAM Geta $1,000 Apple Gift Card. Complete a few quick deals and receive a reward for your participation ClaimNow > G veritedorter © SecureaPrivate 4 FastReward HOW IT...

Page Load Overview

2.34s
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
664.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
299.84.152.81Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
243.204.240.106Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
223.209.209.61Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
299.84.152.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
223.36.157.47Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
229--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148F2B7227110DC7FE4174BD9B078AF3E106FD25AC60E8519E3AD8A70A783DB96D625C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:udBuHcQ2rKuTcSdiiiiPdiiiiFiiiiI60UK0C00zd0P4jlUD7uPI2VU:RcQcI76rKdZ1lUDkTG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36746:QNsSKsRIBEKTgaCygAIDhUAJQBCCNCAAgyGwF+gX5wEwAgACAgAxYDDBABgKQCZMaFkIyAQARYCyRVgM0QoEBiphZyCJLjKB

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:N/A

Other Hashes

Crop Resistant:324c4c4c4c040c36

Scan History

Scan history not available

Unable to load historical scan data