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Security Scan Report: scottfintechmeetup-g3rqioig8e.edgeone.app

Submitted: Mar 29, 2026, 6:12:03 PMCompleted: Mar 29, 2026, 6:13:21 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is scottfintechmeetup-g3rqioig8e.edgeone.app and was registered NaN years ago.

Submitted URL: https://scottfintechmeetup-g3rqioig8e.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 82%

0
Risk Score

No malicious activity detected; the site appears to be a legitimate informational page.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Minimal JavaScript behavior, no credential exfiltration
Hosted on a standard platform without known malicious history
Content appears to be informational (FinTech meetup report) with no phishing cues
Domain age information unavailable

Details

Page Title

FinTech Meetup Intel Report | Digital Onboarding

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(43%)

Domain Information

The domain 'scottfintechmeetup-g3rqioig8e.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'scottfintechmeetup-g3rqioig8e'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Tokenizing the label suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://scottfintechmeetup-g3rqioig8e.edgeone.app/

Page Load Overview

0.57s
Total Load Time
2
HTTP Requests
1
Domains
24 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:37,803 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking43% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A934F3162B52077959782D27A754B6F7AB1FA0BCA4B020636FC83980FC3C86DE6754D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:AkWrBFLeFQFRGGUf6bJVh52lKQUwYJVxr6mwZea9JK665wCj1LtHz/7T2q4gNfEf:A9BpeO9oudUGtWjGTjTSJ1C4CXMV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94682:4AAKZYCqgNQSgcELKSARiSAACoQIREySpEBMELREAOVkWBkFSIGPCBgqxToGkEICSICqURgakYUFFEgIURWtpCKFFkJEqhAH

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:d919013d3d3d3d3d
Perceptual Hash:8afcfc89c6823333
Difference Hash:3131696969696969
Wavelet Hash:1919013d3d3d3d3d
Color Hash:#53ac6f

Other Hashes

Crop Resistant:3131696969696969

Scan History

Scan history not available

Unable to load historical scan data