Security Scan Report: nasty-fuchsia-efbhkogg-dpjoc88x8nxg.edgeone.dev

Submitted: Completed: publiccompleted

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Randomized edgeone.dev subdomain serving a full clone of the official Next.js by Vercel site, without disclosure and with an ET PHISHING mirrored-website alert. No credential/payment capture observed, but the brand impersonation is unresolved.

Risk Factors (4)
Impersonation of a different entity's brand (Next.js by Vercel) on a mismatched, unranked host
Cloned/mirrored website (ET PHISHING 'Mirrored Website Comment Observed')
Throwaway-looking subdomain on a free/shared hosting platform (edgeone.dev) with unknown creation date
Domain absent from Cisco Umbrella top 1M
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), 'nasty-fuchsia-efbhkogg-dpjoc88x8nxg.edgeone.dev' is registered with subdomain 'nasty-fuchsia-efbhkogg-dpjoc88x8nxg'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Breaking it apart gives two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nasty-fuchsia-efbhkogg-dpjoc88x8nxg.edgeone.dev/

Page Load Overview

2.37s
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:7,797 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
2543.174.246.29Singapore
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

T141748510B5F4CA26A44B96C9E7387E55AF06F17384198955B2DC93660F428B3FB8F0CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:P4mm7VSVTaQAHI1QZxxVUU+nAQ1NSQv5DaqH2GZ3I:QmpD5G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:362338:NsgehCsg0aAx8QASISBlSwOMXqEhKAhQIFhkoUAoNXxIeGAglLZkyDBIyAgEFYsxZgpgFKIcAGaSPAqX4JsAYsICBUBAypSG

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:88808183e7bfff43
Color Hash:#2d8649

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data