Security Scan Report: hushed-orange-momoggcw-dp7arbykcw8o.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 5 months ago.

Submitted URL: https://hushed-orange-momoggcw-dp7arbykcw8o.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Roster-anchored Meta Page-takeover phishing kit: a copied Next.js/Vercel mirror on a throwaway edgeone.dev subdomain whose form posts to the kit's /home funnel. CRITICAL hunting-rule hit confirms. Avoid.

Risk Factors (5)
Known phishing kit identified by analyst-vetted roster (Meta Account Support IP-violation Page takeover)
CRITICAL hunting-rule hit for the Meta_Account_Support_IP_Violation_Kit on the page body
Other entity's brand (Vercel / Next.js) presented on a mismatched, disposable edgeone.dev subdomain
Form action rewritten to the kit's /home funnel stage instead of a legitimate endpoint
ET PHISHING mirrored-website network alert on the capture
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'hushed-orange-momoggcw-dp7arbykcw8o.edgeone.dev' is registered; it also runs on subdomain 'hushed-orange-momoggcw-dp7arbykcw8o'. Count 7 characters in 'edgeone' containing 4 vowels alongside three 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

A / NEXT: Showcase Docs Blog Templates” Enterprise ” (Search documentation. }{ A Deploy The React Framework for the Web Used by some of the world’s largest companies, Next.js enables you to create h...

Other pages on this site

Page Load Overview

2.24s
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:7,787 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
47%

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

T1DB748510B5F4CA26A44B96C9E7387E65AF06F1B384198954B2DC83660F46877FB4F0CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bNYdb1SVTaQAHI1QZxxVUU+nAQ1NSQv5DaqH2GZ3I:JYwD5G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:358957:9IgwwFAAicBKx6EAYlqCAkKUkQk0IKBoBmgBWUSAFsAKgAYgML1gkClCE40pMMxQKGFyi1gNoG0QYZKhAJoAhZdgAWAmAAWQ

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:N/A

Other Hashes

Crop Resistant:41220b0c0a001416

Scan History

Scan history not available

Unable to load historical scan data