Security Scan Report: tropical-turquoise-jkw7ohtk-dprj3frxqm1r.edgeone.dev

Submitted: Sep 13, 2026, 1:54:55 AMCompleted: Sep 13, 2026, 1:55:22 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Mirrored copy of the Next.js/Vercel site on an unrelated edgeone.dev subdomain — brand impersonation with an IDS mirrored-website phishing alert, but no credential or payment forms, so high-risk rather than confirmed phishing.

Risk Factors (3)
Impersonation of the Vercel / Next.js brand on a domain that is not Vercel's (edgeone.dev shared-hosting subdomain)
Mirrored/cloned official website content (IDS ET PHISHING mirrored-website alert)
Hostname is an anonymous shared-hosting subdomain of unknown creation date
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain name 'tropical-turquoise-jkw7ohtk-dprj3frxqm1r.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'tropical-turquoise-jkw7ohtk-dprj3frxqm1r'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Segmentation suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tropical-turquoise-jkw7ohtk-dprj3frxqm1r.edgeone.dev/

Page Load Overview

2.98s
Total Load Time
547 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,803 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
72%
documentation technical
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1843.174.246.29Singapore
1843.174.247.29Singapore
362--

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:b368ccc393c86c3b
Difference Hash:41220b0c0a001416
Wavelet Hash:888081c3e7e7ffc2
Color Hash:#8dc587

Other Hashes

Crop Resistant:41220b0c0a001416

Scan History

Scan history not available

Unable to load historical scan data