Security Scan Report: binnav-public-ypiu4xm1yx.edgeone.app

Submitted: Feb 20, 2026, 6:57:47 PMCompleted: Feb 20, 2026, 6:59:11 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 binnav-public-ypiu4xm1yx.edgeone.app and was registered NaN years ago.

Submitted URL: https://binnav-public-ypiu4xm1yx.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%

0
Risk Score

No security concerns detected; site appears legitimate.

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

Details

Page Title

binnav-public-ypiu4xm1yx.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

Within the application-focused generic top-level domain (.app), 'binnav-public-ypiu4xm1yx.edgeone.app' is registered; it also runs on subdomain 'binnav-public-ypiu4xm1yx'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. It segments into 2 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://binnav-public-ypiu4xm1yx.edgeone.app/

Page Load Overview

2.49s
Total Load Time
3
HTTP Requests
2
Domains
15 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D048F773296063986558498F05B43099F21B143F50AC9BCB9BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszS2bMy8Oldq:HhoC9JSqzzbs6o3Sj3gcrse2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184571:QU1RMAEIJCHAh1kAAMACDkQBAKUWI1mhEMyiIFa2liANDYBcABOpgEAIpPM0CCQABnAYAzRRbq8SokSiEMhAgQehBCqCJQiI

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#50862d

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data