ScanMalware.com

Security Scan Report: www.econlib.org

Submitted: Nov 20, 2025, 10:26:19 AMCompleted: Nov 20, 2025, 10:28:55 AMpubliccompleted
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Summary

This website contacted 41 IPs in 3 countries across 20 domains to perform 96 HTTP transactions. The main domain is econlib.org and was registered NaN years ago.

Submitted URL: https://www.econlib.org/library/Topics/College/whatiseconomics.html

The Cisco Umbrella rank of the primary domain is #570,882 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate educational site with no security concerns.

Safety Factors
Domain age over 25 years (well established)
No malicious Indicators of Compromise matches found
No password or payment collection forms
Standard newsletter subscription form only
Domain age information unavailable

Details

Page Title

What Is Economics? - Econlib

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

You're looking at domain 'www.econlib.org' on the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The core label 'econlib' covers 7 characters split between 3 vowels and 4 consonants. Tokenizing the label suggests 3 words: ec, on, lib. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.econlib.org/library/Topics/College/whatiseconomics.html

Page Load Overview

2.13s
Total Load Time
96
HTTP Requests
20
Domains
3.3 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:13,609 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5335.185.53.100North Charleston, South Carolina, United States
AS396982GOOGLE-CLOUD-PLATFORM
6104.17.25.14United States
AS13335CLOUDFLARENET
552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5216.239.34.36United States
AS15169GOOGLE
4146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.250.184.232United States
AS15169GOOGLE
3172.66.0.227United States
AS13335CLOUDFLARENET
2216.239.38.178United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
9641--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T108A30A739C5C583A726A6184E59DFB28E72A9012CF456E96F2FC727CD3C9A9501B330C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Fx3sV5nkMukFkuvku6i6SOwSCYmLxtRrd5Oxkl6AcYdmDnONSo9H:Fh6wQtVYQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:105763:EiiEJAyqogwgCwyEsMV4gaBkQACIBB6gBELgt0gBB8BuNBxEAsvRBDoKBwUKhSbEAA4UZ0VQI2TwCEkIREYYQDoKCCWCwABA

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:00010103f9f9ffff
Perceptual Hash:a90296f9d7366a4a
Difference Hash:56e3c7d763132c2c
Wavelet Hash:00010141f9f9ffff
Color Hash:#78743a

Other Hashes

Crop Resistant:56e3c7d763132c2c,0101031414050101,1f1f1f1687cfcfc7,3b7b631f0b0f0f1e,361949ab3b796ae3,0101c454010101a2

Scan History

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