Security Scan Report: bm-widget-uat-0kncyjqwvw.edgeone.dev

Submitted: Feb 23, 2026, 5:14:26 AMCompleted: Feb 23, 2026, 5:15:51 AMpubliccompleted
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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 bm-widget-uat-0kncyjqwvw.edgeone.dev and was registered NaN years ago.

Submitted URL: https://bm-widget-uat-0kncyjqwvw.edgeone.dev/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

bm-widget-uat-0kncyjqwvw.edgeone.dev

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'bm-widget-uat-0kncyjqwvw.edgeone.dev' is registered, featuring subdomain 'bm-widget-uat-0kncyjqwvw'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bm-widget-uat-0kncyjqwvw.edgeone.dev/

Page Load Overview

3.27s
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
343.174.247.29Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszA2bMy8OldO:qhoC9JSqzzbs6o3Sj3gcrss2eAE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184571:AAwqWURhgwLEEfYEAAYGrhArQFUAQILBFIUHMkoGQoQWg9IYbKAhQKECBARkJJFOQBGGAAIkHFAYVqbIwEYFoAeMSREMDEIj

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:#6e3a78

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data