Security Scan Report: step-maker-b1693ynsrf.edgeone.app

Submitted: Mar 10, 2026, 3:53:32 PMCompleted: Mar 10, 2026, 3:55:08 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 7 HTTP transactions. The main domain is step-maker-b1693ynsrf.edgeone.app and was registered NaN years ago.

Submitted URL: https://step-maker-b1693ynsrf.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

No malicious activity detected; low risk.

Safety Factors
No credential or payment forms present
No JavaScript malware patterns detected
No cross‑origin credential exfiltration observed
Domain age > 365 days reduces suspicion
Page content appears to be a betting calculator without interactive inputs
Domain age information unavailable

Details

Page Title

𝐒𝐓𝐄𝐏 πŒπ€πŠπ„π‘ π“πŽπŒ 𝐁𝐄𝐒𝐓 π“π„π€πŒ

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

technology software

(76%)

Domain Information

You're looking at domain 'step-maker-b1693ynsrf.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'step-maker-b1693ynsrf'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Breaking it apart gives two 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://step-maker-b1693ynsrf.edgeone.app/

Page Load Overview

8.16s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:795 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
50%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
0104.17.25.14Singapore
0192.163.208.117Singapore
13--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7F1A45254A3352AB00383AD2BE797052679C043E503CE783E9E50A88F859E805FFFDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:orYPkZ6SyTxdrITfZHMaASyHsVtnxrjPspOMuvgvt0AhQj:orYPkyrGqK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7453:AABIACMMyoFWIBAGCCYECiiIKEgCgSSAhBBmAiwAAuEoAAfcgpC8pABgEEFCAtIMBYGAiuIAEA0C0AlCUYETOQCiBABVCDZQ

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:1c3c180000000000
Perceptual Hash:9999993366666666
Difference Hash:3a32300c00000000
Wavelet Hash:ffffffff00000000
Color Hash:#53931f

Other Hashes

Crop Resistant:3a32300c00000000

Scan History

Scan history not available

Unable to load historical scan data