Security Scan Report: shop.appleidshop.com

Submitted: Dec 31, 2025, 7:35:12 PMCompleted: Dec 31, 2025, 7:36:55 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 18 HTTP transactions. The main domain is shop.appleidshop.com and was registered NaN years ago.

Submitted URL: https://shop.appleidshop.com/single-product-3.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; the page returns a 404 error.

Safety Factors
Domain age > 10 years (well established)
No forms or credential collection fields detected
No malicious Indicators of Compromise matches found
Page returns 404 (no content to harvest)
Domain age information unavailable

Details

Page Title

404

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

unknown

(0%)

Domain Information

The domain 'shop.appleidshop.com' uses the commercial generic top-level domain (.com) with subdomain 'shop'. Its registrable label 'appleidshop' stretches across 11 characters holding 4 vowels versus 7 consonants. Segmentation suggests three words: apple, id, shop. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://shop.appleidshop.com/single-product-3.html

Page Load Overview

0.79s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
HTML Lang Attribute:fa-ir
Text Length:22 chars
Detector Agreement:100%
Language mismatch: Declared as fa but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
280.249.115.7Iran
AS212216Netafraz Iranian Ltd.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B012235C5F09426619291B43AE0BE0E1FA1EE07CA5F8541765DE6C04FC1FA6CC9B20E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:eL0uhYG4bf2EHMXSM0xwx0XZH3+jRsJChpYOKRWIgHaW:0n4bu05+jRiF/o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:773:AAQAAAAABAAAAAAAAAAAEBAAAAAAAgAAQAQAAAAAAAAAAAAAAAAAEgAABBAAAAEAAAAAAAAAAAAIAAAAAAgAAAAAAAAABCAg

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:feffffffffffffff
Perceptual Hash:d555555555555554
Difference Hash:0000000000000000
Wavelet Hash:0e0f0f0f0f0f0f0f
Color Hash:#931f2b

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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