Security Scan Report: fractalcycles.com

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 6 domains to perform 100 HTTP transactions. The main domain is fractalcycles.com and was registered 1 year 2 months ago.

Submitted URL: https://fractalcycles.com/guides/stock-market-cycles

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Educational finance article on its own self-branded domain, over one year old, with no credential/payment forms and no threat-intel, hunting rule, or IDS hits. No malicious signals found.

Safety Factors (5)
Self-branding consistent with the registered domain (FractalCycles)
Domain age over one year (established)
No credential, payment, or disguised password fields on the page
No threat intelligence, hunting rule, or IDS hits against the page or its resources
Article-type financial/educational content with explicit non-advice disclaimer
Domain age information unavailable

Details

Page Title

Stock Market Cycles Explained: How to Spot Them First | FractalCycles

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'fractalcycles.com' is registered while skipping any subdomain. The core label 'fractalcycles' covers 13 characters with three vowels and 10 consonants. Splitting it apart reveals two words: fractal, cycles. Median word length comes out to 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

FractalCycles How It Works Pricing Blog HOME / GUIDES / STOCK MARKET CYCLES EXPLAINED: HOW TO SPOT THEM FIRST Stock Market Cycles Explained: How to Spot Them First The science behind stock market...

Page Load Overview

1.92s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:12,563 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business48% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
48%
news/blog
45%
blog personal website
43%
adult content
38%
corporate
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20153.52.255.99United States
AS54113Fastly, Inc.
16153.52.255.41United States
AS14618Amazon.com, Inc.
16104.20.17.167Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
16146.75.120.84Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
162.23.245.35Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
163.41.202.157Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1006--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101C31A6A7004DA29AD537E5814BE6F3DA18DD5A7CAA6CE74E08CC81502C35FD67B3EC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LyzRwHb9xaoAEwS/IO8juBJg5MsnB7cxksc64Jysq7vXoBq8YEYKUpETsZLgkgOd:phgaXx/c64Jysq7vXiN3CrlEopR39H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:122390:BqBIABIJgQsQmsmFdZxD5ADFEgTSLEUPCJQAEQvxTZwKhCqMBhWyKiLQECQgsCUAUAMOwtoSRARSgggsBCIXYCSTC3sSh0iJ

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:f9c3c7ffe7c3c3c3
Perceptual Hash:b0cb6a4acbca4a5b
Difference Hash:699e9e1c9c969e96
Wavelet Hash:a8c3c3c7c3c3c3c3
Color Hash:N/A

Other Hashes

Crop Resistant:699e9e1c9c969e96

Scan History

Scan history not available

Unable to load historical scan data