Security Scan Report: dying-green-o86ck97s-dppgltjn8aus.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 49 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://dying-green-o86ck97s-dppgltjn8aus.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Mirror/clone of the official Next.js by Vercel homepage hosted on an unrelated edgeone.dev subdomain, with an ET PHISHING 'mirrored website' IDS alert; brand impersonation without a captured credential form.

Risk Factors (3)
Mirrored/cloned copy of the official Next.js by Vercel homepage on an unrelated edgeone.dev free-subdomain namespace
Brand mismatch: page claims the Next.js/Vercel brand on a domain Vercel does not control
ET PHISHING IDS signature indicating a mirrored (potential phish) website
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

Domain 'dying-green-o86ck97s-dppgltjn8aus.edgeone.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'dying-green-o86ck97s-dppgltjn8aus'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. Segmentation suggests 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://dying-green-o86ck97s-dppgltjn8aus.edgeone.dev/

Page Load Overview

4.61s
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
39%

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

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:#93401f

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data