ScanMalware.com

Security Scan Report: fashionable-gray-yjqpljrq-dp48pgzbwb2s.edgeone.dev

Submitted: Completed: publiccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

A clone of the official Next.js by Vercel homepage served on a random edgeone.dev subdomain, with a mirrored-website IDS note. No credential or payment form and no malware, so no active scam, but the brand/domain mismatch warrants caution.

Risk Factors (3)
Brand claim (Next.js by Vercel) on a domain that is not the brand's official domain
Randomized/generated subdomain on a shared hosting platform (edgeone.dev) with no attributable creation date
IDS informational alert for a possible mirrored/cloned website
Safety Factors (5)
No password, disguised-password or payment fields; the only form is a newsletter email signup to the same origin
No cross-origin form submissions and no cross-origin JS network targets
No YARA malware matches and no known malicious kit in the kit roster
No credential exfiltration or JavaScript behavioral signals detected
Threat-intel matches are reputation-only on generic abuse tags, not content-malware indicators
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain name 'fashionable-gray-yjqpljrq-dp48pgzbwb2s.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'fashionable-gray-yjqpljrq-dp48pgzbwb2s'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. Breaking it apart gives two 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://fashionable-gray-yjqpljrq-dp48pgzbwb2s.edgeone.dev/

Page Load Overview

3.97s
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
2543.174.247.29Singapore
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:#e06c6c

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data