Security Scan Report: appleiphone.org

Submitted: Feb 11, 2026, 8:20:59 PMCompleted: Feb 11, 2026, 8:22:31 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is appleiphone.org and was registered NaN years ago.

Submitted URL: https://appleiphone.org/language/es

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

New unranked domain impersonating Apple – high risk phishing.

Risk Factors
Brand impersonation on a newly registered domain
Critical domain age (<7 days)
Unranked domain with low reputation
Domain age information unavailable

Details

Page Title

appleiphone.org

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Domain 'appleiphone.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. The second-level label 'appleiphone' is 11 characters long with five vowels and six consonants. Word splitting yields 2 words: apple, iphone. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appleiphone.org/language/es

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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
Text Length:741 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
66%
adult content
58%
government public service
34%
phishing scam
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1188.114.96.3United States
AS13335Cloudflare, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszQ2bMy8Old/:ThoC9JSqzzbs6o3Sj3gcrs82eA1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184499:ASI4DBARQA/GkgxGgCcGjowS4iZExOgAYSALItWOYYsDIAw5B4GALBBAQgkAABjKEIIgJyRkzCNFchwwIgAejgUbCAB/DB4Y

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#ac5a53

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data