Security Scan Report: occupational-green-ezvjfdvm-dpkik9z0wsss.edgeone.dev

Submitted: Completed: publiccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

5
Risk Score

Unranked edgeone.dev subdomain mirrors the official Next.js/Vercel landing page. No login, payment or credential form, no malware or exfiltration detected; brand-mirroring on an unrelated host is the only real concern.

Risk Factors (3)
Branded Next.js/Vercel content mirrored onto an unrelated, auto-generated edgeone.dev subdomain
Unranked domain not present in Cisco Umbrella top 1M
Subdomain on a shared hosting platform with unknown, uncontrolled creation date
Safety Factors (4)
No credential, login, or payment form present (password fields = 0, payment fields = 0)
No JavaScript malware / YARA hits and no third-party script hosts — all JS served from the site's own domain
No cross-origin form submissions or credential exfiltration detected
Threat-intel matches are generic abuse-reputation 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 'occupational-green-ezvjfdvm-dpkik9z0wsss.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'occupational-green-ezvjfdvm-dpkik9z0wsss'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://occupational-green-ezvjfdvm-dpkik9z0wsss.edgeone.dev/

Page Load Overview

2.58s
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:888081c3e7dfff42
Color Hash:#2dd29e

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data