Security Scan Report: velocebot-u5psfc2wes.edgeone.app

Submitted: Feb 23, 2026, 8:32:56 AMCompleted: Feb 23, 2026, 8:34:21 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 5 HTTP transactions. The main domain is velocebot-u5psfc2wes.edgeone.app and was registered NaN years ago.

Submitted URL: https://velocebot-u5psfc2wes.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

VeloceBot | Official VeloceTech Robot

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(44%)

Domain Information

Domain 'velocebot-u5psfc2wes.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'velocebot-u5psfc2wes'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Splitting it apart reveals 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://velocebot-u5psfc2wes.edgeone.app/

Page Load Overview

0.99s
Total Load Time
5
HTTP Requests
3
Domains
144 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:1,139 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software44% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
1142.251.208.170United States
1142.251.143.99United StatesUnknown
53--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BCE19352A2B26252715FA4B8A89173D979CBC707970FCBE0727E416CAF83995C91730C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TWiGuloAUyK5CTT3NSpZ3HkwhwshZ7bKqifmrDT3VH1Ii3wR/xhraRKxNXQ1yHLc:R3bndWBGcKqfrDZHWxpVxNdudMFlE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7053:RAkAyQACdoCAokqQbEViEAiIJAMBUDZQ1QICSmgAkUCIRjwAQApzgoCo0DShSgOgUDymGoCoBYgaIICAAOwAQQUVIFnKxyAR

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:013d19011919197f
Perceptual Hash:8a5fe333713c6c0c
Difference Hash:9769f1357179b1b1
Wavelet Hash:013d19011f1f1f7f
Color Hash:#865b2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data