Security Scan Report: login-icloud-v.com

Submitted: Dec 28, 2025, 1:31:33 AMCompleted: Dec 28, 2025, 1:32:39 AMpubliccompleted
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Summary

This website contacted 3 IPs in 0 countries across 3 domains to perform 7 HTTP transactions. The main domain is login-icloud-v.com and was registered NaN years ago.

Submitted URL: http://login-icloud-v.com/

AI Security Verdict

High Risk

Confidence: 95%

10
Risk Score

High risk phishing site impersonating iCloud login

Risk Factors
Brand impersonation (iCloud) on a non‑official domain
Newly registered domain (<7 days) with critical risk multiplier
Unranked domain lacking reputation
Deceptive subdomain "login" suggesting credential harvesting
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

phishing scam

(34%)

Domain Information

The domain name 'login-icloud-v.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'login-icloud-v' stretches across 14 characters containing 5 vowels alongside 7 consonants, plus two hyphens. Word splitting yields four words: login, i, cloud, v. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://login-icloud-v.com/

Page Load Overview

9.87s
Total Load Time
7
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:86 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam34% confidence
Type: static
Method: ml+structural

All Detected Categories

phishing scam
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.76.205.124UnknownUnknown
2216.239.32.36UnknownUnknown
1142.250.185.136UnknownUnknown
03--

Detected Technologies1

100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AB2142CB1EE34112B45365A80FF32B01B61A90035046DE763D8EB344CF812979A9378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hae+7bVvh1zdMv6FrOxnviQmRqvrxRLTE/jHfGJfVk+UqZ3g7G:z+799MCFCpr1s/rGJqTG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1369:AAAAIGAAgAAgAQAABQBBAgKABBBIAAGoAAAAEEAAAAAABAAIAEAAIAAAAAAAQABAAAAAAAAQAAAAAgCAAAAAQAMAAAAAgAQE

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:0000001818000000
Perceptual Hash:9899676699996666
Difference Hash:000810b2b2140000
Wavelet Hash:30303c3c3f3f3333
Color Hash:#2dd28b

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data