Security Scan Report: cnxbbshop.shop

Redirected to:
https://cnxbbshop.shop/
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Submitted: Completed: publiccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Aged domain running a Thai shop frontpage built on an unrelated 'Mixsoft' IT-agency template, with a same-origin login form. No Indicators of Compromise, YARA or exfiltration; the Paypal mention is a payment-method list, not impersonation. Mismatch warrants caution.

Risk Factors (4)
Unranked domain with unresolvable brand/store identity (Thai M4 accessory shop title mixed with unrelated 'Mixsoft Co., Ltd.' IT agency template content)
Login form collecting email/username + password, plus card-entry UI placeholders and third-party-brand email address on a mismatched domain
Circular redirect chain (final URL appears earlier in the chain)
Low business-legitimacy score (38/100) with no verifiable corporate identity behind the template text
Safety Factors (5)
Established domain age (6,436 days; registered 2009)
No Indicators of Compromise or threat-intelligence matches on the page or its resources
No JavaScript malware patterns and no native-YARA high-precision hits
No cross-origin credential submission and no credential exfiltration detected; all scripts served from the site's own domain
Any card data entered would go to the site's own origin — no external exfiltration sink observed
Domain age information unavailable

Details

Page Title

M4 ของแต่ง

Scan Type

public

Domain Name Analysis

The domain name 'cnxbbshop.shop' uses the commerce-oriented generic top-level domain (.shop) and has no subdomain. Its registrable label 'cnxbbshop' stretches across 9 characters containing one vowel alongside eight consonants. Tokenizing the label suggests four words: c, nx, bb, shop. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://cnxbbshop.shop/

Page Load Overview

16.86s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:4,169 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software93% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
93%
corporate business
44%
documentation technical
32%
social_media
25%

Detected Features

Login Form
Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12150.95.23.169Bangkok, Bangkok, Thailand
AS135161GMO-Z com NetDesign Holdings Co., Ltd.
6142.251.14.95Google · CDNUnited States
AS15169Google LLC
6104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.251.20.95Google · CDNUnited States
AS15169Google LLC
6151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
6192.178.183.94Google · CDNUnited States
AS15169Google LLC
6104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
487--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19C94BCBAE5F38A7E006E7098D1386B59AA8BD3474BE9BBF5B53C54C8074410C8C974BD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:0xGvxG0xGCxGNxGE7b8xG/xGpsgFsyswsSxG9xGgxG5xG9xGgxGlxG9xGgxGPxG1:Ar9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:421340:KEJJFgKQFYCYkEiQFoDGYDJQRQLbMxQAghoBEHogQNTlsBIEJICpIgJ1AFTwGRguCw4RpQ4QWMCAo0IiAKMgMCGSICwIjIFk

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:ffffffffff000000
Perceptual Hash:acf50353fc3828ce
Difference Hash:0c64263222592165
Wavelet Hash:ffffd3d3f3000000
Color Hash:#e0856c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data