Security Scan Report: bitter-purple-jfcgapbuuu-91al25fhbe.edgeone.app

Submitted: Feb 28, 2026, 11:02:31 PMCompleted: Feb 28, 2026, 11:04:17 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is bitter-purple-jfcgapbuuu-91al25fhbe.edgeone.app and was registered NaN years ago.

Submitted URL: https://bitter-purple-jfcgapbuuu-91al25fhbe.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 92%

4
Risk Score

Site publicly discloses personal data; not a phishing site but poses privacy risk.

Risk Factors
Public exposure of personally identifiable information (PII)
Safety Factors
No malicious Indicators of Compromise detected
No credential or payment collection forms
No JavaScript malware patterns
No external domains or cross‑origin requests
Hosted on a known platform (edgeone.app) without suspicious activity
Domain age information unavailable

Details

Page Title

Personal Information

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

adult content

(48%)

Domain Information

The domain name 'bitter-purple-jfcgapbuuu-91al25fhbe.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'bitter-purple-jfcgapbuuu-91al25fhbe'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Breaking it apart gives two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bitter-purple-jfcgapbuuu-91al25fhbe.edgeone.app/

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:639 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content48% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
48%
healthcare medical
42%
education learning
29%

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

T1D3512FA3AB852C7FB49A0957F2121F38AFD064207129276BD43B86FEF1D5C59804C7AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:qTl4UcOq/87jOvYi8IFdOIeO8zNAmxxPw2TIwaPS9X2KumdJXfIvb/8ioQ:7Yqfdw5Acw0h9XVwT/8Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2913:EAEiAAAEAaQBQCAAAAAGAACAICMBAIKEIEAAQgCKAQEEAQYEAJAAAAgggEEAAQAEBARAAgAGECBgRAAACAJAAQBAAAAEDAAE

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:670f0f7fffffffff
Perceptual Hash:800023e7e6e6f67e
Difference Hash:ccd8b8b000000000
Wavelet Hash:0404040c0f0f0f0f
Color Hash:#2d6fd2

Other Hashes

Crop Resistant:ccd8b8b000000000

Scan History

Scan history not available

Unable to load historical scan data