Security Scan Report: upset-apricot-1va2alaj-dpfb3zg5z8k8.edgeone.dev

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

Submitted URL: https://upset-apricot-1va2alaj-dpfb3zg5z8k8.edgeone.dev/

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Expert-vetted phishing kit: a cloned Next.js/Vercel site on a disposable edgeone.dev host, with its form funneling to the kit's /home step. Brand impersonation plus CRITICAL YARA hit — do not interact.

Risk Factors (5)
Known phishing kit deployment (Meta IP-violation / Facebook Page-takeover family) confirmed by roster and YARA
Full clone of the Next.js by Vercel marketing site on a throwaway hosting subdomain
Form action redirected to /home, the kit's described credential-funnel endpoint
Brand impersonation of Vercel/Next.js on a non-official domain
Disposable EdgeOne Pages hosting namespace with unknown creation date
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain name 'upset-apricot-1va2alaj-dpfb3zg5z8k8.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'upset-apricot-1va2alaj-dpfb3zg5z8k8'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Word splitting yields 2 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://upset-apricot-1va2alaj-dpfb3zg5z8k8.edgeone.dev/

Page Load Overview

5.78s
Total Load Time
1.9 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
3943.174.247.29Singapore
391--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146748510B5F4CA26A44B96C9E7387E65AF06F1B384198954B2DC83660F46877FB4F0CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JNY/bpSVTaQAHI1QZxxVUU+nAQ1NSQv5DaqH2GZ3I:vYiD5G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:358962:ggQNJAAbAhI7MAceuAEIDARwEFgdIhSOqKTA4JBJXBSExJFiBEhAoGAIVAAuCcBWQNhgZAIHAQQAGmgjkgUgdkAPLjADERwN

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:888081c3e7f7ff42
Color Hash:#d22d69

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data