Security Scan Report: appleiphoneaccessories.net

Redirected to:
https://appleiphoneaccessories.net/lander
Submitted: Sep 30, 2026, 11:13:30 PMCompleted: Sep 30, 2026, 11:14:36 PMpubliccompleted

This website contacted 11 IPs in 3 countries across 5 domains to perform 23 HTTP transactions. The main domain is appleiphoneaccessories.net and was registered 19 years ago.

Submitted URL: https://appleiphoneaccessories.net

Effective URL:

https://appleiphoneaccessories.net/lander
Redirected

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

GoDaddy parked-domain lander with no forms, no credential or payment collection, and no malware or phishing indicators. Established 19-year-old domain; only minor note is its lack of usage/ranking.

Risk Factors (1)
Domain is unranked in Cisco Umbrella top 1M and serves only generic parked-page content with auto-generated search topics
Safety Factors (5)
No credential or payment forms — no data collection behavior
No malware, phishing, or threat-intel indicators detected
Page content is a standard GoDaddy parking lander with a clear disclaimer
Long-established domain (19 years)
Cross-origin resource (csp.secureserver.net, rank #14,484) is GoDaddy's own legitimate infrastructure
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the network infrastructure generic top-level domain (.net), 'appleiphoneaccessories.net' is registered with no subdomain. The registrable portion 'appleiphoneaccessories' spans 22 characters with ten vowels and twelve consonants. It segments into 3 words: apple, iphone, accessories. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appleiphoneaccessories.net

Page Load Overview

1.70s
Total Load Time
328 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:579 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
315.197.148.33Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
223.207.210.148Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
23.6.32.123Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
2184.30.208.203Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
252.222.236.60Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.33.130.190Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
223.207.210.143Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
243.205.79.201Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
252.222.236.71Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
252.222.236.107Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2311--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BDB25CFA575421FBF18353EFA110759D7663B0ADFE83CA81E2985D8462C3C2CAC049DA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:xlARZeJ+gPr6ivfNXIT3R+RDMFGpPsJk10IepPDiTFXEUSEbopXE:EI/uJJkdnRXEUN2XE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24715:AuP4BKUNIgCNosgjCYIgSgjCMBAiBIxAEFjtCSQULwFkYRgAptJ1CSSJJpJDgCRWMqgyEAR3SgSO4AkCFwWIGseTR1IEQUyQ

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:ffc9e7e7e7e7e7e7
Perceptual Hash:f3c9c9888696b696
Difference Hash:b23b0c0e0c0c0c0c
Wavelet Hash:7e88c3c3c3c3c3c3
Color Hash:#2dd298

Other Hashes

Crop Resistant:b23b0c0e0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data