Security Scan Report: zealous-pink-fc0wqburwz-wv6j7rwlpu.edgeone.app

Submitted: Feb 27, 2026, 12:24:30 PMCompleted: Feb 27, 2026, 12:25:59 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is zealous-pink-fc0wqburwz-wv6j7rwlpu.edgeone.app and was registered NaN years ago.

Submitted URL: https://zealous-pink-fc0wqburwz-wv6j7rwlpu.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%

1
Risk Score

No malicious activity detected; site appears benign.

Safety Factors
No credential or payment collection mechanisms
No malicious Indicators of Compromise
No JavaScript malware detected
Standard free hosting platform with no suspicious scripts
Low ranking but no brand claims or impersonation
Domain age information unavailable

Details

Page Title

CLASSIFIED // AI Intelligence Dossier

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(60%)

Domain Information

Within the application-focused generic top-level domain (.app), 'zealous-pink-fc0wqburwz-wv6j7rwlpu.edgeone.app' is registered with subdomain 'zealous-pink-fc0wqburwz-wv6j7rwlpu'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Word splitting yields 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://zealous-pink-fc0wqburwz-wv6j7rwlpu.edgeone.app/

Page Load Overview

1.44s
Total Load Time
7
HTTP Requests
3
Domains
85 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:2,531 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical60% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
60%
technology software
54%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.58.206.42Singapore
2142.251.37.3Singapore
243.152.26.58SingaporeUnknown
73--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0B3FAE662B31031992321A9739B035A3634D1C7DA46C93975EC42484FCAE7CDBA3BDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FfdXjOz6473igpiLnfmkoI7M2slMFLmasn:FfdOu473igpiLukoI7MPlMF/sn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116338:YggAAKqRBwkDbwGBQBQVCK0mAIFsAkIJjoAIhOaIDgLgDA4qnx8UAkxABpIlQoVEqUsiLBAwqUQABgBVMwIQFp4AC4GMCyBC

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:c1e03c3c3c3c0000
Perceptual Hash:daf070f8d8f8b288
Difference Hash:1309617070605102
Wavelet Hash:ffe53c3c3c3c1c00
Color Hash:#c5879e

Other Hashes

Crop Resistant:1309617070605102

Scan History

Scan history not available

Unable to load historical scan data