Security Scan Report: www.robomarkets.com.cy

Submitted: Completed: publiccompleted
This website contacted 24 IPs in 4 countries across 18 domains to perform 103 HTTP transactions. The main domain is robomarkets.com.cy.

Submitted URL: https://www.robomarkets.com.cy/blog/education/how-to-use-the-cycle-theory-in-financial-markets/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Official RoboMarkets regional blog article on market cycles; self-branded, no credential/payment forms, and no malware or IDS/hunting rule signals. The notix.io match is single-source generic abuse reputation, not page content.

Safety Factors (5)
Self-branding matches the scanned domain and regional RoboMarkets site.
Article/blog content with normal educational trading material.
No credential or payment collection forms.
No malware, hunting rule, IDS, or credential-exfiltration evidence.
Most third-party script hosts are top-ranked analytics/advertising/CDN services.
Domain age information unavailable

Details

Page Title

Unveiling Time Cycles in the Stock Markets | RoboMarkets Blog

Scan Type

public

Domain Name Analysis

The domain 'www.robomarkets.com.cy' uses the Cypriot country-code top-level domain (.com.cy) and includes subdomain 'www'. The second-level label 'robomarkets' is 11 characters long split between four vowels and 7 consonants. Segmentation suggests 3 words: rob, o, markets. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

EiRoboForex Search & Contact us Choose language + English » CeStina Language English EN English + Trading Accounts Markets Trading Platform MetaTrader 4 MetaTrader 5 R StocksTrader . . . Depos...

Page Load Overview

3.63s
Total Load Time
871 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:14,461 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
documentation technical
41%
technology software
39%
corporate
35%
forum
25%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.66.41.37Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
4192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
43.174.46.44Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
420.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
4142.251.127.121Google · CDNUnited States
AS15169Google LLC
4139.45.197.103Germany
AS9002RETN Limited
4150.171.109.98Azure · CLOUDUnited States
AS8075Microsoft Corporation
452.167.81.85Azure · CLOUDBoydton, Virginia, United States
AS8075Microsoft Corporation
4142.251.20.97Google · CDNUnited States
AS15169Google LLC
10324--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12F34C3B7A690B43DB33B0659B764B748B2591103F111CDFBFA6C41CA2B82DE2497B52C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DhF1J3y5PS2X7pX+o/YFkJKBo/YFkJKs81HSMvnmmIdSflJ:DhBy5VXUVHNNIdI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:238803:DOE5Gx5QzQxAdMXBrgOEDBCaAIFiAgAQg0YAqSyAQmIAQZCIsBwDFFBEaNQEiEIgmX3ABABBhxCDYzg8oJo5xHFLg2kDSlgh

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:7e7f7f3f3f3f7f3f
Perceptual Hash:80fcfcfd070107ea
Difference Hash:c080c0c0c0c0c0c0
Wavelet Hash:3272723232327232
Color Hash:N/A

Other Hashes

Crop Resistant:c080c0c0c0c0c0c0

Scan History

Scan history not available

Unable to load historical scan data