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Security Scan Report: us.econoday.com

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Submitted: Dec 23, 2025, 4:25:48 PMCompleted: Dec 23, 2025, 4:26:48 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 40 HTTP transactions. The main domain is us.econoday.com and was registered NaN years ago.

Submitted URL: https://us.econoday.com/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Established domain with long registration history
Official subdomain of a reputable financial information provider
Absence of forms collecting sensitive data
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

2025 Economic Calendar

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(31%)

Domain Information

The domain name 'us.econoday.com' uses the commercial generic top-level domain (.com) and includes subdomain 'us'. The core label 'econoday' covers 8 characters containing 4 vowels alongside 4 consonants. Tokenizing the label suggests 3 words: eco, no, day. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://us.econoday.com/

Page Load Overview

18.49s
Total Load Time
40
HTTP Requests
4
Domains
222 KB
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:2,670 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content31% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8184.24.77.152Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
813.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
8142.250.186.136United States
AS15169GOOGLE
813.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
8162.159.135.42United States
AS13335CLOUDFLARENET
405--

Detected Technologies4

WordPress
75%
Azure
50%
HSTS
40%
Azure Front Door
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F103C560A6D82077442B53CEB75627EA74F6B1B5F2120D28B4FE2F6C43CCE607406A6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:PwgDumK93iBH5gZWAOaXgXM0YlrJ0SoO9SYkJ9KTR2hzgHkRy/9penma:PwsDLBHRaXgXM0YlrJ0SoO9SYkJ9KTRY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38624:BggAhRQAWGCFoAgAqyxdEBoUw3AMtWA1G4KiAoVUsBQpAiBkiIZ4YhByDRgVkgBIwpAoiaQIIQwQBAptADAgE0EQAFNYm4A0

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:1e8e0d0f8f8f9f9f
Perceptual Hash:9c11c7c7871a3ac7
Difference Hash:f03ab9b93c3c3434
Wavelet Hash:1e080d0d0f8f9f9f
Color Hash:#79d27c

Other Hashes

Crop Resistant:f03ab9b93c3c3434

Scan History

Scan history not available

Unable to load historical scan data