Security Scan Report: app.tradingsim.com

Submitted: Feb 11, 2026, 12:00:34 AMCompleted: Feb 11, 2026, 12:02:37 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 app.tradingsim.com and was registered NaN years ago.

Submitted URL: https://app.tradingsim.com/blog/7-things-must-know-dow-futures/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational blog; no security concerns detected.

Safety Factors
Well‑established domain (>24 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Educational content about Dow Futures
Domain age information unavailable

Details

Page Title

app.tradingsim.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(27%)

Domain Information

Domain 'app.tradingsim.com' uses the commercial generic top-level domain (.com) with subdomain 'app'. Its registrable label 'tradingsim' stretches across 10 characters holding 3 vowels versus seven consonants. Segmentation suggests 2 words: trading, sim. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.tradingsim.com/blog/7-things-must-know-dow-futures/

Page Load Overview

45.10s
Total Load Time
106
HTTP Requests
32
Domains
1.1 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-US
Text Length:12,396 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business27% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
27%
social_media
25%
forum
25%

Detected Features

Articles
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
106104.21.39.226United States
AS13335Cloudflare, Inc.
1061--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17C048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszm2bMy8OldL:ihoC9JSqzzbs6o3Sj3gcrsS2eAl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184589:qChIIAhKAIIgODgOFADJAQAOIErofRLAWiIZookYURSqgZsoJghMggA4QMIYYQXKBIAsB0ZIwwFRvgQQnAFOQRnQHiiBwYIA

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:b331cccccc333363
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f030700000000
Color Hash:#6ce07d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data