Security Scan Report: bitter-blush-bomungfn-dpcqbynwqrs5.edgeone.dev

Submitted: Completed: publiccompleted

AI Security Verdict

Moderate Risk

Confidence: 60%

5
Risk Score

Unofficial mirror of Next.js by Vercel on a third-party edgeone.dev subdomain; no credential or payment forms, but brand impersonation and an IDS mirroring alert warrant caution.

Risk Factors (2)
Brand impersonation: mirrors official Next.js by Vercel site on an unrelated edgeone.dev subdomain
Network IDS alert for possible mirrored website (ET PHISHING, informational)
Safety Factors (4)
No credential or payment forms; no password fields
No JavaScript malware patterns detected
No cross-origin credential exfiltration
Content is technical documentation with no malicious behavior
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain 'bitter-blush-bomungfn-dpcqbynwqrs5.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'bitter-blush-bomungfn-dpcqbynwqrs5'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bitter-blush-bomungfn-dpcqbynwqrs5.edgeone.dev/

Page Load Overview

4.86s
Total Load Time
989 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,787 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2543.174.247.29Singapore
2443.174.246.29Singapore
492--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C748510B5F4CA26A44B96C9E7387E65AF06F1B384198954B2DC83660F46877FB4F0CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VNYdb1SVTaQAHI1QZxxVUU+nAQ1NSQv5DaqH2GZ3I:zYwD5G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:358979:ICIEmKWU4QTHtAEYAAAsGBQhiJCYGxiKU0kDiHcscBFYEOpjAwFBY5CCD5RjAEgIEzQQ1oIYCEBUiJAKCcEJimgjEAACWDAA

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:888081c3e7e7ffc2
Color Hash:#e0856c

Other Hashes

Crop Resistant:41220b0c0a001416

Scan History

Scan history not available

Unable to load historical scan data