Security Scan Report: painful-apricot-dje00jiobp-123fyxj9cm.edgeone.app

Submitted: Feb 4, 2026, 11:28:36 PMCompleted: Feb 4, 2026, 11:30:10 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 8 HTTP transactions. The main domain is painful-apricot-dje00jiobp-123fyxj9cm.edgeone.app and was registered NaN years ago.

Submitted URL: https://painful-apricot-dje00jiobp-123fyxj9cm.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 suspicious activity.

Safety Factors
Well‑established domain (> 2 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

ME GOOSTA 👍

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(68%)

Domain Information

Within the application-focused generic top-level domain (.app), 'painful-apricot-dje00jiobp-123fyxj9cm.edgeone.app' is registered; it also runs on subdomain 'painful-apricot-dje00jiobp-123fyxj9cm'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. It segments into 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://painful-apricot-dje00jiobp-123fyxj9cm.edgeone.app/

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
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:843 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
38%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14981A5E627EA54057023C09478A3DB8937A884029E1FCD7967E524CCEF922D9D673B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T+hIC6/xprnO39f7HrMX9xJyDq0RpMj9fs:66Qf7IX9xgDqhhs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3953:MAQAUIBEghABgBREJh8CADAQBQAhAJgAIEBBgAACEgEAMiIgAJ4ZCGAIAIAAAAgsAkAAEgiBAAAIBIAQiQAJAAQqAAy2BADg

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:3c3c3c3c18180000
Perceptual Hash:998766999922d8cf
Difference Hash:f0f0f0f0f0f0c8d0
Wavelet Hash:7e7e7e7e3c3c0000
Color Hash:#537fac

Other Hashes

Crop Resistant:f0f0f0f0f0f0c8d0

Scan History

Scan history not available

Unable to load historical scan data