Security Scan Report: dangerous-gray-ypuobila-dp85cx4e129y.edgeone.dev

Submitted: Completed: publiccompleted

AI Security Verdict

Moderate Risk

Confidence: 62%

5
Risk Score

Mirrored copy of the Next.js/Vercel homepage on an unrelated edgeone.dev subdomain. No credential or payment form, no malware, but brand impersonation and a mirrored-site IDS flag warrant caution.

Risk Factors (3)
Third-party brand (Next.js by Vercel) displayed on a non-official, unranked shared-hosting subdomain
Mirrored/cloned website content (per IDS mirrored-website signature)
Hosted on a free instant-publish platform subdomain whose actual creation date is unknown
Safety Factors (5)
No password, disguised-password or payment fields anywhere on the page
No cross-origin form submissions and no credential exfiltration
No JavaScript malware (YARA) hits and no malicious kit roster match
All JavaScript served from the site's own domain; no third-party script hosts
The single form is a standard newsletter email subscription, not authentication
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain 'dangerous-gray-ypuobila-dp85cx4e129y.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'dangerous-gray-ypuobila-dp85cx4e129y'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dangerous-gray-ypuobila-dp85cx4e129y.edgeone.dev/

Page Load Overview

4.83s
Total Load Time
978 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,801 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2543.174.246.29Singapore
2443.174.247.29Singapore
492--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6748510B5F4CA26A44B96C9E7387E65AF06F1B384198954B2DC83660F46877FB4F0CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pNYdb1SVTaQAHI1QZxxVUU+nAQ1NSQv5DaqH2GZ3I:PYwD5G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:358980:EgkAKKCALBgjDxAgpCJxMssgBNCSmIBDAQAANMFJUCACghRBDJgICZHSZ4ils03CHHCdCCoI6SUQANBCAVkwQx4AQEhF4CUQ

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:fcc381efe7ffffcf
Perceptual Hash:b368ccc393c86c3b
Difference Hash:41220b0c0a001416
Wavelet Hash:888081c3e7f7ff82
Color Hash:#539fac

Other Hashes

Crop Resistant:41220b0c0a001416

Scan History

Scan history not available

Unable to load historical scan data