Security Scan Report: collective-aquamarine-xmlids0u-dp4xtqk3xh3n.edgeone.dev

Submitted: Sep 26, 2026, 12:39:52 AMCompleted: Sep 26, 2026, 12:40:31 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

5
Risk Score

Mirrored Next.js/Vercel landing page on an unknown-age edgeone.dev subdomain; one informational IDS mirrored-site alert. No credential or payment form, no malware or content IoC — hence no escalation beyond moderate.

Risk Factors
Mirrored copy of the Next.js/Vercel marketing page served from an unrelated edgeone.dev subdomain
No visible disclosure that this is a third-party deployment rather than the official Next.js site
Safety Factors
No credential, login or payment form — only a newsletter email field
No cross-origin form submission or credential exfiltration detected
No YARA malware patterns and no native-YARA high-precision hits
No content-malware threat-intelligence indicators; both IP matches are generic abuse-reputation tags only (single-source, unverified)
Content is a standard technology/framework documentation-style page (technology software 72%)
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain name 'collective-aquamarine-xmlids0u-dp4xtqk3xh3n.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'collective-aquamarine-xmlids0u-dp4xtqk3xh3n'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. It segments into two 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://collective-aquamarine-xmlids0u-dp4xtqk3xh3n.edgeone.dev/

Page Load Overview

4.44s
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

T150748510B5F4CA26A44B96C9E7387E65AF06F1B384198954B2DC83660F46877FB4F0CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7NYdb1SVTaQAHI1QZxxVUU+nAQ1NSQv5DaqH2GZ3I:pYwD5G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:358975:EQFuYAkCLP+uIQQgVYgChURyB0LwmCmAKAYAAJkEbpAAEMGgJCAGJI0gaggRwM6N0AYkNPsUEaMQEAAaPIjvTEIIgKoQBwoM

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:b368ccc393c86c3b
Difference Hash:41220b0c0a001416
Wavelet Hash:888081c3e7e7ffc2
Color Hash:#761f93

Other Hashes

Crop Resistant:41220b0c0a001416

Scan History

Scan history not available

Unable to load historical scan data