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Security Scan Report: www.topstep.com

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Submitted: Dec 23, 2025, 4:33:07 PMCompleted: Dec 23, 2025, 4:34:57 PMpubliccompleted
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Summary

This website contacted 76 IPs in 7 countries across 58 domains to perform 187 HTTP transactions. The main domain is topstep.com and was registered NaN years ago.

Submitted URL: https://www.topstep.com/economic-calendar/

The Cisco Umbrella rank of the primary domain is #141,020 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of credential‑harvesting forms
No external malicious links
Domain age information unavailable

Details

Page Title

Economic Calendar of Events | Topstep Trading Desk Calendar

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(46%)

Domain Information

You're looking at domain 'www.topstep.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 7 characters in 'topstep' split between 2 vowels and five consonants. It segments into two words: top, step. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.topstep.com/economic-calendar/

Page Load Overview

51.25s
Total Load Time
187
HTTP Requests
58
Domains
2.9 MB
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:35,948 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software46% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
46%
corporate
35%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37216.58.209.206United States
AS15169GOOGLE
213.33.235.11New York, New York, United States
AS16509AMAZON-02
2104.16.6.65United States
AS13335CLOUDFLARENET
2150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
220.88.155.55Washington, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
213.33.235.8New York, New York, United States
AS16509AMAZON-02
2104.16.141.209United States
AS13335CLOUDFLARENET
252.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
23.224.174.68Ashburn, Virginia, United States
AS14618AMAZON-AES
2104.19.175.188United States
AS13335CLOUDFLARENET
18776--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6141B336849303E022BA5D87971932D6123C206CB175AA4B3FD9268DFC6FE59D6734E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FNdKabivs/A/9Ox7WQeWVWoy0mxTPT33DhzD7pSb1TqimIIAnNVesAyYh1eWH5Du:UimIIAnNVesC0/os43tjhj0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:206412:QBSDFGByFMI5kaORTlXoiEUACwCTCCNgBUKJYwgMZAYBgkUgBUnACYAIAEEtBgNCMKoCCSHQCJmqhynEyIjEZwZHa5iI2hFZ

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

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