Security Scan Report: academic-blush-hmj2cwgcdq-4x7m2o1dd6.edgeone.app

Submitted: Mar 21, 2026, 4:07:10 AMCompleted: Mar 21, 2026, 4:08:27 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is academic-blush-hmj2cwgcdq-4x7m2o1dd6.edgeone.app and was registered NaN years ago.

Submitted URL: https://academic-blush-hmj2cwgcdq-4x7m2o1dd6.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: 92%

1
Risk Score

No malicious activity detected; the site appears legitimate and safe.

Safety Factors
Hosted on reputable edgeone.app platform
No credential or payment collection fields
No external domains or redirects
Page title and OCR text show no brand impersonation
No obfuscation or malicious script behavior
Domain age information unavailable

Details

Page Title

finger this link😮‍💨

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(42%)

Domain Information

The domain 'academic-blush-hmj2cwgcdq-4x7m2o1dd6.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'academic-blush-hmj2cwgcdq-4x7m2o1dd6'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Tokenizing the label suggests 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://academic-blush-hmj2cwgcdq-4x7m2o1dd6.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
5 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:56 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism42% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
42%
healthcare medical
31%
social media network
28%
gambling betting
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14051969B72420A1262ABE13A6DF7D386302484075D07808C78BD60D38FE4D6785FEBED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T7azjkpaunZXMCq92g0ybcz6BrCduigewigeepiwyl3N9wARrwT0+ND/aF:T7olEZ8192AuGC0iwisijbwg8yF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2860:AAAIAwABIEBEAAAIQkgQAAEBAARAAAAABAIACqADAFAAMAREAIIAYgAAAAABAAQEAByGgACwCAAgAQQAQkAAiAAAAISCISAi

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:1818181800000000
Perceptual Hash:99999b666664cccc
Difference Hash:2a22323008000000
Wavelet Hash:1c1c18180f0f0f0f
Color Hash:#931f44

Other Hashes

Crop Resistant:2a22323008000000

Scan History

Scan history not available

Unable to load historical scan data