Security Scan Report: stupid-green-tq8mqppiiq-fuvc5gtfpj.edgeone.app

Submitted: Jan 9, 2026, 4:47:54 AMCompleted: Jan 9, 2026, 4:49:17 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 1 HTTP transaction. The main domain is stupid-green-tq8mqppiiq-fuvc5gtfpj.edgeone.app and was registered NaN years ago.

Submitted URL: https://stupid-green-tq8mqppiiq-fuvc5gtfpj.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%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age 975 days (well established)
No credential or payment forms detected
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

JKBOSE - Results

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(38%)

Domain Information

The domain 'stupid-green-tq8mqppiiq-fuvc5gtfpj.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'stupid-green-tq8mqppiiq-fuvc5gtfpj'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Segmentation suggests two 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://stupid-green-tq8mqppiiq-fuvc5gtfpj.edgeone.app/

Page Load Overview

2.90s
Total Load Time
4
HTTP Requests
3
Domains
1 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:148 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning38% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
38%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.15.59.240United States
AS14907WIKIMEDIA
1146.75.120.193Frankfurt am Main, Hesse, Germany
AS54113FASTLY
143.152.26.58Singapore
43--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE911D9355E31002BA4354B4BFEBAA063184C513C64BCE747E8C2698CFCA9959AA338D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TU4NaZvEOZ1lkgCdtitkkmFaHlpCKB9FN1EZRiWFZ9LGCs:TFNAZqdJBFaOKBvNSZRpFZtGCs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4454:QSxAYAQQQUBEcSAIQCIFARQKBoBCCAAIhAAAADBgCGR4IgEKgAIAgAmAICACSCAIIAgEYAAC6AoYAMAAAIIAgGJAGJBEDBMo

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:e7e7e7e7ffffffff
Perceptual Hash:b3339999cc666626
Difference Hash:0c0c0c0c08000000
Wavelet Hash:00042000f0f0f0f0
Color Hash:#d2cb79

Other Hashes

Crop Resistant:0c0c0c0c08000000

Scan History

Scan history not available

Unable to load historical scan data