Security Scan Report: hon-pink-ulmdqrah-dpsy1a9nt99h.edgeone.dev

Submitted: Completed: publiccompleted

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Mirrored copy of the official Next.js by Vercel site hosted on an unrelated unranked edgeone.dev subdomain, with an IDS mirrored-phish alert; no credential or payment forms are present, so brand impersonation is the primary concern.

Risk Factors (3)
Impersonation of a different entity's brand (Next.js by Vercel) on a non-official, unranked domain
Site content is a mirrored copy of the legitimate Next.js landing page (IDS mirrored-website phish alert)
Hosted on a free/instant shared-platform subdomain whose actual creation date is unknown
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain 'hon-pink-ulmdqrah-dpsy1a9nt99h.edgeone.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'hon-pink-ulmdqrah-dpsy1a9nt99h'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. It segments into 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hon-pink-ulmdqrah-dpsy1a9nt99h.edgeone.dev/

Page Load Overview

4.62s
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
2543.174.246.29Singapore
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

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:#539fac

Other Hashes

Crop Resistant:41220b0c0a001416

Scan History

Scan history not available

Unable to load historical scan data