Security Scan Report: ifxbrokers.com

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Submitted: Dec 23, 2025, 4:47:31 PMCompleted: Dec 23, 2025, 4:48:33 PMpubliccompleted
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Summary

This website contacted 23 IPs in 3 countries across 19 domains to perform 172 HTTP transactions. The main domain is ifxbrokers.com and was registered NaN years ago.

Submitted URL: https://ifxbrokers.com/understanding-economic-calendars/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Long‑standing domain registration (over 5 years)
Absence of suspicious forms or data collection fields
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Economic Calendar: What It Is and How to Use It Effectively

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(100%)

Domain Information

Within the commercial generic top-level domain (.com), 'ifxbrokers.com' is registered while skipping any subdomain. The registrable portion 'ifxbrokers' spans 10 characters holding 3 vowels versus seven consonants. Word splitting yields 3 words: if, x, brokers. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ifxbrokers.com/understanding-economic-calendars/

Page Load Overview

4.31s
Total Load Time
172
HTTP Requests
19
Domains
4.1 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:22,327 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog100% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
100%
corporate
70%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18142.250.186.110United States
AS15169GOOGLE
7104.26.10.61United States
AS13335CLOUDFLARENET
7157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
7104.16.80.73United States
AS13335CLOUDFLARENET
7142.250.185.132United States
AS15169GOOGLE
7104.18.19.62United States
AS13335CLOUDFLARENET
7166.117.194.248United States
AS16509AMAZON-02
720.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7216.239.32.36United States
AS15169GOOGLE
7216.58.206.67United States
AS15169GOOGLE
17223--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137F3D8B3D84E243F173B12847441720EE216CA36CE1666DAB7FE514CEFC1FA519A7289

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ELxyaHfYAdzOnHNB//Mt1vWqln42rUd4Q79kHkpkbJm:ELxHZOnHNB//Mt1+qln42rURGYIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:170254:wLAFDAwAMRi4gQOQQQlIAIEGBCBYmAJYCxQEMIBFVLOEdZKGsDUHnQwRxKGKtoqWJR1QYAckkbHBGBRIIEAw1gEHIIka0ACO

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:00000030007e7e7e
Perceptual Hash:c338c79e6c93c532
Difference Hash:03c3ddd1e5e0c8d0
Wavelet Hash:0100407e317f7f7e
Color Hash:#d279b8

Scan History

Scan history not available

Unable to load historical scan data