Security Scan Report: sorry-purple-yjhkynyn7z-u2assma80h.edgeone.app

Submitted: Dec 28, 2025, 2:42:11 PMCompleted: Dec 28, 2025, 2:42:45 PMpubliccompleted
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Summary

This website contacted 3 IPs in 0 countries across 3 domains to perform 6 HTTP transactions. The main domain is sorry-purple-yjhkynyn7z-u2assma80h.edgeone.app and was registered NaN years ago.

Submitted URL: https://sorry-purple-yjhkynyn7z-u2assma80h.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: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain with minimal risk category
Absence of malicious Indicators of Compromise
No forms collecting sensitive data
Low ranking does not combine with any strong suspicious signals
Content appears benign (interactive manners game)
Domain age information unavailable

Details

Page Title

30-Day Interactive Manners Adventure

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(64%)

Domain Information

The domain name 'sorry-purple-yjhkynyn7z-u2assma80h.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'sorry-purple-yjhkynyn7z-u2assma80h'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 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

Security scan screenshot of https://sorry-purple-yjhkynyn7z-u2assma80h.edgeone.app/

Page Load Overview

1.29s
Total Load Time
6
HTTP Requests
0
Domains
N/A
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:1,469 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media64% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
64%
adult content
48%
education learning
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.250.185.131UnknownUnknown
243.152.26.58UnknownUnknown
1142.250.184.234UnknownUnknown
03--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D1225E092F201BB0673C5D2A5FBAB363AF0971BD90B412472EE176887DDD81B85285D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TfXv6Z6fe46RyvoSEMi1dybxYSGnmsJyJt5VA4n6TavrJbSIwLOg72Xind9U+QC3:zXv6ZKvoSEMm4mdnm4yJloLI+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9395:AcAALNAGEzjJSHIAQxwAANUGwwQMRrwCSgPlE0ZBoEUnyDFMEVyABHLtAi26mUECGCqFMIUnjEMAA1C0jURwmxHEgAa4BgAC

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:0000ffffffffffff
Perceptual Hash:bc49084b5d6d989f
Difference Hash:b331340b3c312b34
Wavelet Hash:0000df818fff81ff
Color Hash:#c5bd87

Scan History

Scan history not available

Unable to load historical scan data