Security Scan Report: icloudmydevice.help

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is icloudmydevice.help and was registered 1 month ago.

Submitted URL: https://icloudmydevice.help

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Brand-lookalike iCloud domain (23 days old) hosting an open directory of large ZIP payloads, flagged by Google Safe Browsing for social engineering — high-risk malware distribution; do not download.

Risk Factors (5)
Google Safe Browsing Social Engineering threat detected
Deceptive iCloud-similar domain on a non-Apple .help TLD
Large downloadable ZIP payloads served from an open directory index
Domain only 23 days old
IDS Spamhaus DROP-listed inbound traffic alert
Domain age information unavailable

Details

Page Title

Index of /

Scan Type

public

Domain Name Analysis

The domain name 'icloudmydevice.help' uses the .help top-level domain without a subdomain. The registrable portion 'icloudmydevice' spans 14 characters holding six vowels versus eight consonants. Tokenizing the label suggests four words: i, cloud, my, device. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://icloudmydevice.help

Page Load Overview

0.22s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:69%
Script:Latin
Direction:ltr

Detection Details

Text Length:203 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain76% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
76%
technology software
63%
download file sharing
47%
documentation technical
43%
news media journalism
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
231.56.209.65Netherlands
AS209373Swissnet LLC
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F21280896E1D2B76D91255BE2807DC987F388F943B245287C0FACC3DB889FC81171A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hMCCO+49sFxeWZyoft9el9xmM/FgJEJ9xm0s1B7u3e9xmMoa3+9xmephF2L3HEpt:h+gSeWQolGmMNgJEBmV7u3SmMoa3ymeN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1226:AAAAAAACAgAEAAAAAAAAQGAAAAgAAAAAKIAAEAgAAggAAQAAAAAAIQAAIAAAAAAAEIAQAACBMAABAAAABAQQAAAEAAAAAIDA

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:3f3fffffffffffff
Perceptual Hash:83030303fcfcfcf8
Difference Hash:e0c0000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#9f53ac

Other Hashes

Crop Resistant:e0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data