Security Scan Report: appleid.my.id

Redirected to: https://appleid.my.id/

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Submitted: Dec 30, 2025, 11:41:01 AMCompleted: Dec 30, 2025, 11:41:59 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 38 HTTP transactions. The main domain is appleid.my.id and was registered NaN years ago.

Submitted URL: http://appleid.my.id/

Effective URL: https://appleid.my.id/Redirected

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Domain mimics Apple on a recent unranked site; likely phishing.

Risk Factors
Brand impersonation on a non‑official, unranked domain
Recent domain age (< 180 days) with no established reputation
Domain not listed in Cisco Umbrella top 1M
Domain age information unavailable

Details

Page Title

- Apple

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'appleid.my.id' uses the Indonesian country-code top-level domain (.my.id) without a subdomain. The second-level label 'appleid' is 7 characters long split between 3 vowels and four consonants. Segmentation suggests two words: apple, id. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://appleid.my.id/

Page Load Overview

17.24s
Total Load Time
21
HTTP Requests
2
Domains
247 KB
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:2,224 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
technology software
34%
blog personal website
33%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11103.112.244.90Indonesia
AS136107PT. Tujuh Ion Indonesia
10192.0.77.48San Francisco, California, United States
AS2635AUTOMATTIC
212--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17CB35A31A2A4C4FA7A6B47D8D01D6338608BA505C6815EF6B1FDD06C57C8DE378E278B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KGrUGdEDZouvemlUYugaLNmz5gwo5VXXmz5gwo5VrhH5ZE:nrDdMZouvemlUYugaL91vTA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:115709:ICAomKqPtYWwQgVOABCKNYKDlG3wECwEISMiEAClAhEMDBlEAZiAUHiAATUokUcBAMwqgMlj0lHAUDAVHgPNZYVItAiCMOsE

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data