Security Scan Report: assistant-moccasin-mkpl7g0c64-po2w22anh5.edgeone.app

Submitted: Feb 28, 2026, 1:39:40 PMCompleted: Feb 28, 2026, 1:40:49 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is assistant-moccasin-mkpl7g0c64-po2w22anh5.edgeone.app and was registered NaN years ago.

Submitted URL: https://assistant-moccasin-mkpl7g0c64-po2w22anh5.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site is a simple file‑listing page with no malicious indicators.

Safety Factors
Hosted on a known platform (edgeone.app)
Page contains only static text (file collection listing)
No credential or payment collection mechanisms
No suspicious external domains or redirects
No malicious JavaScript or behavior observed
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(52%)

Domain Information

Within the application-focused generic top-level domain (.app), 'assistant-moccasin-mkpl7g0c64-po2w22anh5.edgeone.app' is registered, featuring subdomain 'assistant-moccasin-mkpl7g0c64-po2w22anh5'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://assistant-moccasin-mkpl7g0c64-po2w22anh5.edgeone.app/

Page Load Overview

0.70s
Total Load Time
2
HTTP Requests
1
Domains
3 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
HTML Lang Attribute:zh
Text Length:442 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical52% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
52%
news media journalism
52%
healthcare medical
34%
government public service
25%

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

T114F20181EFF42FDCA41BC5559B6D7B3B6A256003A48D868CB5AD0EB0DF44889E0FB174

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+zYKGWiK+eSqWWeKOCeye6eqUGAO0uId:wNIqzYKGWiK+eSqWWeKOCeye6eqUGAOM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34658:UAVQwgIAABACcQgEgQWjIgASQAAMB5AxEKQUAiBjKAcUAIKIIiSAAiIASDkAJEACSABRxkIAQKAC4EAFIAAgCKYQGCYDRk0A

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:9c1c3c3c3c3c3c3c
Perceptual Hash:de7538382845c7e3
Difference Hash:3030707071717171
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#6240bf

Other Hashes

Crop Resistant:3030707071717171

Scan History

Scan history not available

Unable to load historical scan data