Security Scan Report: special-green-mcqgohug-dpm955j49p9q.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 35 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://special-green-mcqgohug-dpm955j49p9q.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Mirrored Next.js by Vercel homepage on unofficial edgeone.dev subdomain with ET PHISHING IDS alert. No credential/payment forms, but brand impersonation and hosting-platform abuse risk.

Risk Factors (3)
Brand impersonation of Next.js/Vercel on a non-official domain.
Mirrored website content detected by IDS.
Hosted on a free/shared subdomain with unknown page age.
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

Domain 'special-green-mcqgohug-dpm955j49p9q.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'special-green-mcqgohug-dpm955j49p9q'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://special-green-mcqgohug-dpm955j49p9q.edgeone.dev/

Page Load Overview

2.77s
Total Load Time
532 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
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1843.174.247.29Singapore
1743.174.246.29Singapore
352--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150C1ED039CED8E197862A4C1C912F34DE54EA133D4244D5EF22CB4AA2F48DDA239F57E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:S/mW7WJWAWZW5GzcMp3RFRiXcVvr9nqOfmgVTDZqZJ5ORg2r:SOW7WJWAWZW5GzcMp3RFRiXcVvr9nqOp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5946:GIAwDoMjACKSCBIIAIsAwIAEIDCIAgASEoCHACoXRMkaiCACAADAAlQCBASBBEkCCAMIOeKwgXAAYZ4EVwNlBAggAEAUQYBB

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:#bf4048

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data