Security Scan Report: outstanding-green-fwnasdd8-dp7pvz15mu17.edgeone.dev

Submitted: Completed: publiccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Mirrored Next.js/Vercel landing page on an unranked edgeone.dev subdomain, but no credential or payment form, no exfiltration and no malware — brand mismatch only, so at most moderate risk.

Risk Factors (3)
Another entity's brand (Vercel / Next.js) displayed on a domain that is not the brand's official domain
Unranked, unknown-age hosting-platform subdomain serving a mirrored copy of a well-known product site
Low-severity Suricata 'mirrored website' phishing-category alert (informational, high false-positive rate)
Safety Factors (5)
No credential, password, disguised-password or payment fields detected
No cross-origin form submissions and no credential exfiltration
No JavaScript malware / YARA matches; all JavaScript served from the site's own domain
No malicious-kit roster match, no Safe Browsing hit, no content-malware Indicators of Compromise
Page content reads as a standard Next.js landing/starter template rather than a phishing kit
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain name 'outstanding-green-fwnasdd8-dp7pvz15mu17.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'outstanding-green-fwnasdd8-dp7pvz15mu17'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. Word splitting yields 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://outstanding-green-fwnasdd8-dp7pvz15mu17.edgeone.dev/

Page Load Overview

2.23s
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
2443.174.246.29Singapore
492--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

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:#7997d2

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data