Security Scan Report: appleiphone.org

Submitted: Feb 16, 2026, 9:01:11 AMCompleted: Feb 16, 2026, 9:02:44 AMpubliccompleted
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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/user/login

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing scam impersonating Apple on a brand‑new unranked domain.

Risk Factors
Brand impersonation/typosquatting on a brand-new domain
Critical domain age (<7 days) with brand claims
UNRANKED domain used to mimic a major brand
Site unreachable, suggesting possible malicious redirect or drop
Domain age information unavailable

Details

Page Title

appleiphone.org

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain name 'appleiphone.org' uses the non-profit oriented generic top-level domain (.org) and has no subdomain. Count 11 characters in 'appleiphone' holding 5 vowels versus six consonants. Breaking it apart gives 2 words: apple, iphone. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appleiphone.org/user/login

Page Load Overview

8.08s
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
1188.114.97.3United States
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszs2bMy8Oldb:ThoC9JSqzzbs6o3Sj3gcrs42eAh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184496:DwOsE0zdAijyLwwKWwkBADoBABkhnQACACBMI6DImEnaJhiHDUTOgpE4CYcNoBo4CA+CUADlEQ4CSCeUsiSwjF4YvKQGAgJx

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:#ac5356

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data