ScanMalware.com

Security Scan Report: educational-coffee-kf70gmuj-dp6knz67pi2k.edgeone.dev

Submitted: Completed: publiccompleted

AI Security Verdict

Moderate Risk

Confidence: 62%

5
Risk Score

Mirrored copy of the Next.js/Vercel site on an unrelated edgeone.dev subdomain. No credential or payment form, no malware, but brand is used on a non-official host — treat with caution.

Risk Factors (4)
Cloned/mirrored copy of Vercel's Next.js marketing site on an unrelated edgeone.dev subdomain
Presents another entity's brand (Next.js by Vercel) without being on that brand's domain
Free instant-subdomain hosting with unknown page creation date (platform apex age not attributable)
Informational IDS alert referencing a mirrored website
Safety Factors (5)
No password, disguised password, or payment fields on the page (verified from captured DOM)
No cross-origin form submissions and no cross-origin JavaScript network targets
No credential exfiltration detected
No YARA JavaScript malware patterns and no known malicious kit in the roster
All JavaScript served from the site's own domain; content matches a legitimate open-source framework documentation page
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

Domain 'educational-coffee-kf70gmuj-dp6knz67pi2k.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'educational-coffee-kf70gmuj-dp6knz67pi2k'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Splitting it apart reveals 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://educational-coffee-kf70gmuj-dp6knz67pi2k.edgeone.dev/

Page Load Overview

2.91s
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
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2543.174.246.29Singapore
AS139341ACE
2443.174.247.29Singapore
AS139341ACE
492--

Detected Technologies1

React
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D748510B5F4CA26A44B96C9E7387E65AF06F1B384198954B2DC83660F46877FB4F0CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NNY/bpSVTaQAHI1QZxxVUU+nAQ1NSQv5DaqH2GZ3I:7YiD5G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:358977:GAsi9oHbkCEMkIJIGjPhoIOAhHIcaNAAIAThIkA6CQJAXuBID7TNARUWQMUBCgAgJB1EAJEBsDAUUMACtylBSCAFlDRvhNEU

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:#2d8649

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data