Security Scan Report: sorry-blush-fuzoh09t0j-lzip3pcvjk.edgeone.app

Submitted: Mar 28, 2026, 9:38:44 AMCompleted: Mar 28, 2026, 9:40:19 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is sorry-blush-fuzoh09t0j-lzip3pcvjk.edgeone.app and was registered NaN years ago.

Submitted URL: https://sorry-blush-fuzoh09t0j-lzip3pcvjk.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: 96%

0
Risk Score

No security concerns detected; the site appears legitimate and safe.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Content appears to be a simple informational page (ClassroomSpot)
Hosted on a known platform without evidence of abuse
Domain age information unavailable

Details

Page Title

ClassroomSpot

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(99%)

Domain Information

You're looking at domain 'sorry-blush-fuzoh09t0j-lzip3pcvjk.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'sorry-blush-fuzoh09t0j-lzip3pcvjk'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Segmentation suggests 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://sorry-blush-fuzoh09t0j-lzip3pcvjk.edgeone.app/

Page Load Overview

0.36s
Total Load Time
757
HTTP Requests
2
Domains
148.6 MB
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:139 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media99% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
99%
education learning
65%
forum community discussion
40%
documentation technical
37%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
379151.101.65.229United States
AS54113Fastly, Inc.
37843.152.26.58Singapore
7572--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135E1D96274BB0C55A16240BC67FBAB85312581039A0CC8E93B6DE5980F56DFDD0A36AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:b4+1pKQijA7mpIUv+I+KocyOciJiGi/iwihiL0uUb2booxr6tEytkz:b42PHOciJiGi/iwihiQuUbE7CEQkz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7067:gCAdDGKkJixihhA4gAYBQMmsYMFyVAgIQDJFGIhDFhsDYgAYCsRSACHAQAApxTFEBgMjQCYCIAJBKhjgSEFVxQhhYQBMIJAa

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:181c000000000000
Perceptual Hash:9999992e66666666
Difference Hash:32b2900000000000
Wavelet Hash:ff7cff0000000000
Color Hash:#7f6ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data