Security Scan Report: arocki.com

Redirected to:
https://amacobiz.com/xFum7C
Submitted: Jan 26, 2026, 9:24:54 AMCompleted: Jan 26, 2026, 9:26:35 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is amacobiz.com and was registered NaN years ago.

Submitted URL: https://arocki.com/login

Effective URL: https://amacobiz.com/xFum7CRedirected

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Apple brand impersonation on a new, unranked domain – high‑risk phishing site.

Risk Factors
Brand impersonation: Apple branding on a non‑Apple domain
Domain mismatch: arocki.com / amacobiz.com vs Apple brand
Domain is unranked in Cisco Umbrella (low reputation)
Domain age < 1 year (new domain)
Domain age information unavailable

Details

Page Title

Apple ID

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'arocki.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'arocki' spans 6 characters containing 3 vowels alongside 3 consonants. Splitting it apart reveals 3 words: a, rock, i. Average segment length settles at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arocki.com/login

Page Load Overview

4.25s
Total Load Time
4
HTTP Requests
1
Domains
1 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
Text Length:8 chars
Detector Agreement:0%

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
4202.61.130.252Singapore
AS152194CTG Server Limited
41--

Detected Technologies2

Content Similarity HashesFor malware variant detection

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6iF4:qzxO965

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a7fe83ec64bb23eb28090598db3d166e

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:07ffffffffffffff
Perceptual Hash:b636363636363632
Difference Hash:0c00000000000000
Wavelet Hash:04f4fcfc00000000
Color Hash:#40bf64

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data