Security Scan Report: physical-coffee-rlg0uxhf-dpdnx6czcdvn.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://physical-coffee-rlg0uxhf-dpdnx6czcdvn.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

Cloned Next.js/Vercel site on edgeone.dev with an ET PHISHING mirrored-site IDS alert. No credential form, but clear brand impersonation and phishing infrastructure signal.

Risk Factors (3)
Mirrored/cloned official Next.js/Vercel marketing site on unrelated edgeone.dev subdomain
ET PHISHING IDS signature for mirrored website comment
Brand impersonation of Next.js by Vercel
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

Domain 'physical-coffee-rlg0uxhf-dpdnx6czcdvn.edgeone.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'physical-coffee-rlg0uxhf-dpdnx6czcdvn'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 consonants. Word splitting yields 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://physical-coffee-rlg0uxhf-dpdnx6czcdvn.edgeone.dev/

Page Load Overview

2.49s
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
2543.174.246.29Singapore
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

T15F748510B5F4CA26A44B96C9E7387E65AF06F1B384198954B2DC83660F46877FB4F0CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:lNYdb1SVTaQAHI1QZxxVUU+nAQ1NSQv5DaqH2GZ3I:DYwD5G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:358978:6cEAIu4YAoVSsEkgQUC60QY9k4wgUFSSCQwAAFwkKoDAyoEGqEcArJBPQGMAQhMRogUJkBVDpPGBwEBcMQQKoUCKQIKCxIkB

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:#3a7863

Other Hashes

Crop Resistant:41220b0c0a001416

Scan History

Scan history not available

Unable to load historical scan data