Security Scan Report: bored-scarlet-vgpbrbrw-dpskaytezvaf.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 49 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://bored-scarlet-vgpbrbrw-dpskaytezvaf.edgeone.dev/

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Mirrored copy of the Next.js/Vercel homepage on an unrelated EdgeOne Pages subdomain. No credential or payment forms, no malware, no exfiltration; brand mismatch alone keeps it at moderate risk.

Risk Factors (2)
Another entity's brand/product content served on a mismatched, non-official domain (mirrored Next.js landing page)
Deployed on a shared hosting-platform subdomain with an auto-generated name and unverifiable age
Safety Factors (4)
No credential, password or payment fields present
No JavaScript malware (YARA) or obfuscated/exfiltrating scripts detected
No cross-origin data submission; all scripts served from the site's own domain
Sole IDS alert is INFO-level with a documented high false-positive rate
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

Domain 'bored-scarlet-vgpbrbrw-dpskaytezvaf.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'bored-scarlet-vgpbrbrw-dpskaytezvaf'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three 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://bored-scarlet-vgpbrbrw-dpskaytezvaf.edgeone.dev/

Page Load Overview

2.47s
Total Load Time
989 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
2543.174.246.29Singapore
2443.174.247.29Singapore
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:b36cccc293cc683b
Difference Hash:41220b0c0a001496
Wavelet Hash:888081c3e7efff42
Color Hash:#bfd279

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data