Security Scan Report: underlying-coffee-gkqxeeop-dp9qdwn2djo7.edgeone.dev

Submitted: Completed: publiccompleted

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Mirror of the Next.js/Vercel homepage served from an unrelated edgeone.dev subdomain, with an IDS mirrored-phish alert. No credential or payment form present, but it falsely presents another company's brand.

Risk Factors (4)
Brand impersonation: a different entity's brand (Vercel / Next.js) displayed on a domain that is not that brand's official domain
Mirrored/cloned copy of the legitimate Next.js homepage
IDS alert for a possible mirrored-website phish (ET PHISHING)
Unranked host on a shared free-subdomain platform whose per-page creation date is unknown
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain name 'underlying-coffee-gkqxeeop-dp9qdwn2djo7.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'underlying-coffee-gkqxeeop-dp9qdwn2djo7'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. It segments into two 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://underlying-coffee-gkqxeeop-dp9qdwn2djo7.edgeone.dev/

Page Load Overview

5.20s
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:7,805 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software71% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
42%

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

T178748510B5F4CA26A44B96C9E7387E65AF06F1B384198954B2DC83660F46877FB4F0CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/NYdb1SVTaQAHI1QZxxVUU+nAQ1NSQv5DaqH2GZ3I:VYwD5G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:358972:KFqhgsBKCBWHZIBoZ5JWFAAJENowgq4WEbUwCoo+QIAUCAQBCVipBAzANIkDAFOqCARggBkoAFGkQgeBlTgYBpgA0c4gLKAB

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:#d2692d

Other Hashes

Crop Resistant:41220b0c0a001416

Scan History

Scan history not available

Unable to load historical scan data