Security Scan Report: grieving-fuchsia-duoq7uqx-dp0f8qyckrly.edgeone.dev

Submitted: Completed: publiccompleted

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Full uncredited clone of the official Next.js/Vercel site on a throwaway edgeone.dev subdomain, with an IDS mirrored-phishing alert. No credential or payment forms present, but the brand impersonation stands.

Risk Factors (5)
Impersonation of the Next.js / Vercel brand on a non-official domain
Complete mirrored clone of a major framework's marketing site with no attribution or disclaimer
IDS alert for mirrored-phishing website pattern
Throwaway subdomain on a free/instant hosting platform; actual page creation date unknown
Unranked domain hosting content that claims a well-known brand
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'grieving-fuchsia-duoq7uqx-dp0f8qyckrly.edgeone.dev' is registered, featuring subdomain 'grieving-fuchsia-duoq7uqx-dp0f8qyckrly'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 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://grieving-fuchsia-duoq7uqx-dp0f8qyckrly.edgeone.dev/

Page Load Overview

2.81s
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:7,797 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
72%
documentation technical
40%

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

T17D748510B5F4CA26A44B96C9E7387E65AF06F1B384198954B2DC83660F46877FB4F0CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NNY/bpSVTaQAHI1QZxxVUU+nAQ1NSQv5DaqH2GZ3I:7YiD5G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:358977:GAsi9oHbkCEMkIJIGjPhoIOAhHIcaNAAIAThIkA6CQJAXuBID7TNARUWQMUBCgAgJB1EAJEBsDAUUMACtylBSCAFlDRvhNEU

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:b368ccc393cc683b
Difference Hash:41220b0c0a001496
Wavelet Hash:888081c3e7f7ff42
Color Hash:#2d5886

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data