Security Scan Report: bm-widget-uat-395sjamgs4.edgeone.dev

Submitted: Mar 11, 2026, 1:53:59 PMCompleted: Mar 11, 2026, 1:55:27 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is bm-widget-uat-395sjamgs4.edgeone.dev and was registered NaN years ago.

Submitted URL: https://bm-widget-uat-395sjamgs4.edgeone.dev/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

EdgeOne Pages

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

Domain 'bm-widget-uat-395sjamgs4.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'bm-widget-uat-395sjamgs4'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Tokenizing the label suggests 2 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://bm-widget-uat-395sjamgs4.edgeone.dev/

Page Load Overview

4.55s
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
243.174.246.29Singapore
143.152.26.154Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10061DC2361E311136953D49C3B616B4A66E5C403D286C92A3EED1798CF8EED3DAD339C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TOPdw+JdLkoaapqFoN6WMdz5qbccSCGWZhI/svJXakd9xe:yPXJdLkoaapqFoN6WMdz5qbccSCRZhIb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3442:AAAEYUEAYIGCQAEAkCAAAoECAQAAAACAAAIgkkCAIAAABAgAAAgQgjAICJBAAASEGIBgFQCSgwBICIKCAMACRJECgIBFAAQy

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:ffffe7e7e7e7ffff
Perceptual Hash:a699cc6633336699
Difference Hash:000008080c0c0000
Wavelet Hash:fcfcc0c0c0e4f0f0
Color Hash:#a06ce0

Other Hashes

Crop Resistant:000008080c0c0000

Scan History

Scan history not available

Unable to load historical scan data