Security Scan Report: apple-rr.top

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is apple-rr.top and was registered 2 months ago.

Submitted URL: https://apple-rr.top/

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

New, unranked site with no forms but title‑domain mismatch; moderate risk, monitor before interaction.

Risk Factors (3)
Newly registered domain
Unranked / low‑reputation domain
Title‑domain mismatch suggesting possible brand impersonation
Safety Factors (1)
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

アカウント管理

Scan Type

public

Domain Name Analysis

Domain 'apple-rr.top' uses the .top top-level domain while skipping any subdomain. The second-level label 'apple-rr' is 8 characters long containing 2 vowels alongside five consonants, plus one hyphen. Word splitting yields two words: apple, rr. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apple-rr.top/

Page Load Overview

0.80s
Total Load Time
83 KB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:80%
Script:Mixed
Direction:ltr

Detection Details

HTML Lang Attribute:ja
Text Length:78 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service40% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
40%
news media journalism
40%
adult content
40%
finance banking
36%
documentation technical
35%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.183.69Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
61--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B371956AB0FA6412103310342F86F114EA6AC507C05FEC60BAECC1D46FC2ED5CAD3768

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:pyqym4UEP5NSkjoOrr3W8lWRhka4N+8pF7oAr9wh+vqAWJOtFA:pybdbrC8YhkjNLphfhwcvFtFA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3694:CCAACAgwIECAIgQQMQAAIADAAACE6ABEhgABACABBETAgAOCAgEIAAAgioQAABgGAMAIkEAIABRAAAAQYECAAAUKoEIAAEIA

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:ffffe7ffe7e7ffff
Perceptual Hash:a2cc993366cc3333
Difference Hash:0000080808080008
Wavelet Hash:0c0c2424e4e4fcfc
Color Hash:#39862d

Other Hashes

Crop Resistant:0000080808080008

Scan History

Scan history not available

Unable to load historical scan data