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Security Scan Report: federal-moccasin-ijbbj6ul4a-z9rp6c246a.edgeone.app

Submitted: Mar 11, 2026, 3:45:25 PMCompleted: Mar 11, 2026, 3:46:44 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 25 HTTP transactions. The main domain is federal-moccasin-ijbbj6ul4a-z9rp6c246a.edgeone.app and was registered NaN years ago.

Submitted URL: https://federal-moccasin-ijbbj6ul4a-z9rp6c246a.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: 85%

0
Risk Score

No malicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting platform without suspicious scripts
Domain age information unavailable

Details

Bot Protection Detected

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

Page Title

exocad webview

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

technology software

(49%)

Domain Information

The domain name 'federal-moccasin-ijbbj6ul4a-z9rp6c246a.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'federal-moccasin-ijbbj6ul4a-z9rp6c246a'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Word splitting yields 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://federal-moccasin-ijbbj6ul4a-z9rp6c246a.edgeone.app/

Page Load Overview

1.45s
Total Load Time
1
HTTP Requests
1
Domains
1.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:302 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software49% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
49%
documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
AS139341ACE
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD06BFF4BA38605B0A9BB2C600174842632D695B480646FEF92DECDB2CD1DD4F67BE74

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

49152:tsCGk89RJSj0RfXnLWukZXFrA98ClNvivzU5glgHezeGWPaPWC7IffqhCE+1i3Rh:WE9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3908968:sSEOCITArCQSAFFphvDgLJgUCQwJqgBCgDUYAg6qkgANQhEFdmQ0EaTcohkQDAJCGgeUFjAOlTJCHACYgQVJoACskgDlwVsw

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:80800c3e3c1c0000
Perceptual Hash:ddfe654a9a922123
Difference Hash:2026f87070700422
Wavelet Hash:c0c0fe7e7e3e0003
Color Hash:#d279cf

Other Hashes

Crop Resistant:8459a7a798b04747,f9d151f0c0a0e0c0,2026f87070700422

Scan History

Scan history not available

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