Security Scan Report: apple-id.autos

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

Submitted URL: https://apple-id.autos/

AI Security Verdict

Confirmed Scam

Confidence: 90%

9
Risk Score

One-day-old apple-id.autos impersonating Apple and flagged by Safe Browsing for social engineering; the page only shows a German human-verification gate consistent with phishing cloaking. Avoid entirely.

Risk Factors (5)
Google Safe Browsing social-engineering threat
Brand impersonation of Apple in the hostname
Domain registered 1 day before the scan
CAPTCHA-style gate with no real content, consistent with cloaking/redirect to a credential harvest
Zero reputation / unranked domain
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

You're looking at domain 'apple-id.autos' on the .autos top-level domain and has no subdomain. The second-level label 'apple-id' is 8 characters long split between three vowels and four consonants; bonus characters include one hyphen. It segments into 2 words: apple, id. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Bitte bestatige, dass du ein Mensch bist

Page Load Overview

1.28s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:40 chars
Detector Agreement:100%

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
243.167.6.150Tokyo, Tokyo, Japan
AS132203Tencent Building, Kejizhongyi Avenue
21--

Detected Technologies1

Nginxv1.22.1
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19931D737F141353E6633E229B52EF90D10A5B057EF030E0469E0B8864DFE91A8CE329D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:s1AVwzSCVDVvUHeuqSciMXMWB6rY+FtMy991z6UXWFHdRRAgzia4PbNXQ21tiFaU:OlzSups+dPdOzzo9Nzi9pdHiz/wf+l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1861:AIECYAAAAAAAMIAAAgEAAAAkACAAQAA4QAIAAAAAAGAAYIgCBAAAQAAAAAAAgAAAEAAgAAAMAAAAAYAAAAAAAEAACAQAAAAA

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:ffffffe7e7ffffff
Perceptual Hash:b398cc663399cc66
Difference Hash:0000100c0c100000
Wavelet Hash:fcfcc0c0070f0f0f
Color Hash:N/A

Other Hashes

Crop Resistant:0000100c0c100000

Scan History

Scan history not available

Unable to load historical scan data