Security Scan Report: m.adobelady.com

Submitted: Completed: publiccompleted
This website contacted 4 IPs in 4 countries across 5 domains to perform 37 HTTP transactions. The main domain is adobelady.com and was registered 6 months ago.

Submitted URL: https://m.adobelady.com

AI Security Verdict

High Risk

Confidence: 76%

7
Risk Score

Unrelated domain reusing a university's content while claiming to be the official site of the betting brand beats365 — brand impersonation/parasite SEO for gambling, no forms or malware.

Risk Factors (3)
Presents itself as the official site of a gambling brand (beats365) while hosted on an unrelated, unranked domain
Stolen/reused university content (imnu.edu.cn email and ICP number) used as a disguise — typical of a compromised or parasite-SEO page pushing a betting brand
Gambling promotion combined with brand claims on a domain with no legitimate ownership relationship
Domain age information unavailable

Details

Page Title

beats365(中文)-唯一官方网站other network

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'm.adobelady.com' is registered; it also runs on subdomain 'm'. The registrable portion 'adobelady' spans 9 characters containing 4 vowels alongside 5 consonants. It segments into two words: adobe, lady. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://m.adobelady.com

Page Load Overview

N/A
Total Load Time
446 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:zh
Text Length:2,013 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1038.12.136.203San Jose, California, United States
AS54600PEG TECH INC
9122.10.20.108Hong Kong
AS134548DXTL Tseung Kwan O Service
936.248.16.48Xiamen, Fujian, China
AS4837CHINA UNICOM China169 Backbone
943.169.95.124Singapore
04--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F703C81289D1942B143215E8A3A2971DB4E7F12BE712CC057BFCA3DE2F86FE59C1189D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:pjjBfNL/OoKYKF91YnMFkIkVmJv3oFEHc48e2MgIkVmJv3oFEHc48e2Mi2ZvmJJT:pjjzBKYKD1YnfIkVmJvYFEH98e2MgIkp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41087:jBAGLIm9DSKQHxB1AaUAxMTAVSDAMhDQJESVUNR3GQFSFV01CDQIBAABRIDKRAQR4BZVFQLEjBghDFgSeAtAIB8gsgJKAQip

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data