Security Scan Report: nearby-blush-td7nkeld-dpb4v25n415f.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 39 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://nearby-blush-td7nkeld-dpb4v25n415f.edgeone.dev/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Mirror of nextjs.org on a disposable edgeone.dev host, matched to an analyst-vetted Meta Page-takeover phishing kit whose form feeds a /home funnel. Decoy page of a confirmed phishing infrastructure.

Risk Factors (5)
Known phishing kit identified (Meta Account Support Center IP-violation / Page-takeover family) via critical YARA rule
Brand impersonation: copied Next.js/Vercel site content on a non-Vercel domain
Form submits to the kit's /home funnel endpoint instead of the brand's own service
Disposable hosting-platform subdomain with unknown creation date
IDS phishing alert for mirrored-website construction
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

Domain 'nearby-blush-td7nkeld-dpb4v25n415f.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'nearby-blush-td7nkeld-dpb4v25n415f'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Breaking it apart gives two 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://nearby-blush-td7nkeld-dpb4v25n415f.edgeone.dev/

Page Load Overview

5.96s
Total Load Time
2.0 MB
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
3943.174.246.29Singapore
391--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150C1ED039CED8E197862A4C1C912F34DE54EA133D4244D5EF22CB4AA2F48DDA239F57E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:S/mW7WJWAWZW5GzcMp3RFRiXcVvr9nqOfmgVTDZqZJ5ORg2r:SOW7WJWAWZW5GzcMp3RFRiXcVvr9nqOp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5946:GIAwDoMjACKSCBIIAIsAwIAEIDCIAgASEoCHACoXRMkaiCACAADAAlQCBASBBEkCCAMIOeKwgXAAYZ4EVwNlBAggAEAUQYBB

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:888081c3e7f7ff82
Color Hash:#40bf4f

Other Hashes

Crop Resistant:41220b0c0a001416

Scan History

Scan history not available

Unable to load historical scan data