ScanMalware.com

Security Scan Report: toxic-coffee-nbevccz7-dp8r943uc31t.edgeone.dev

Submitted: Sep 27, 2026, 4:04:44 AMCompleted: Sep 27, 2026, 4:05:22 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 60%

5
Risk Score

Cloned Next.js by Vercel marketing page on an unrelated EdgeOne Pages subdomain with no credential or payment form. Mild brand-mirroring concern; no phishing or malware evidence found.

Risk Factors (3)
Full off-brand clone of the Next.js by Vercel marketing page hosted on a shared platform subdomain
Brand name in meta tags on a domain that is not the brand's official domain
Unranked domain (not in Cisco Umbrella top 1M) with no attributable creation date
Safety Factors (4)
No password, disguised-password, or payment fields on the page (no credential harvesting)
No JavaScript malware / YARA matches and no known phishing-kit roster hits in the JavaScript analysis
No credential exfiltration, no cross-origin credential form submissions, and no external domains contacted
Only form present is a standard newsletter email opt-in
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain name 'toxic-coffee-nbevccz7-dp8r943uc31t.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'toxic-coffee-nbevccz7-dp8r943uc31t'. Its registrable label 'edgeone' stretches across 7 characters containing four 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://toxic-coffee-nbevccz7-dp8r943uc31t.edgeone.dev/

Page Load Overview

2.82s
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
AS139341ACE
2443.174.246.29Singapore
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:#40a6bf

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data