Security Scan Report: offers.appletvapp.apple

Submitted: Apr 28, 2026, 12:25:19 AMCompleted: Apr 28, 2026, 12:26:33 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is offers.appletvapp.apple.

Submitted URL: https://offers.appletvapp.apple/tvp01213mf

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

New unranked domain impersonating Apple with heavily obfuscated JavaScript and many redirects; high risk of phishing.

Risk Factors
Brand impersonation of Apple
Newly registered, unranked domain
Excessive redirects
Highly obfuscated JavaScript
Lack of legitimate content or contact information
Domain age information unavailable

Details

Page Title

3-Month Offer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(92%)

Domain Information

Domain 'offers.appletvapp.apple' uses the .apple top-level domain, featuring subdomain 'offers'. Its registrable label 'appletvapp' stretches across 10 characters containing 3 vowels alongside 7 consonants. Breaking it apart gives 3 words: apple, tv, app. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://offers.appletvapp.apple/tvp01213mf

Page Load Overview

4.67s
Total Load Time
49
HTTP Requests
3
Domains
3.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:3,996 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
92%
technology software
80%
documentation technical
71%
blog personal website
50%
education learning
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1717.253.57.206Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
1652.92.225.194Boardman, Oregon, United States
AS16509Amazon.com, Inc.
1623.52.180.240Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
493--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0431C30924E16669A33DC917B4A3FAD5530C0D1C24DF94C78579A1DABDEF890EE2B38

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:QgSjdHfH1tag3tfgXo0CxFgbmp7Wu1gNz3yW+gf5ulzYshh5235A283i683FIB8H:f3yiulzYsL5kWoQMXAsfyqjbxzG4FT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56685:VHQmAZGIKDBACRcxAShIWGiIUJVpABABIExGMhphDCSxAgAgMxAQKPBAECxHIAGUQjgLNiANsIjqWCAiWEFo0PMvZkBQ2LDQ

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:00001800003c3c3c
Perceptual Hash:8a2cd3bc2c936cb3
Difference Hash:0531717111696949
Wavelet Hash:ff003d18183c3c3c
Color Hash:#6d3a78

Scan History

Scan history not available

Unable to load historical scan data