Security Scan Report: www.concordia.net

Submitted: Oct 14, 2025, 4:46:51 AMCompleted: Oct 14, 2025, 4:48:26 AMpubliccompleted
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Summary

This website contacted 88 IPs in 3 countries across 19 domains to perform 62 HTTP transactions. The main domain is concordia.net and was registered NaN years ago.

Submitted URL: https://www.concordia.net/community/president-alvaro-uribe-velez/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site; no security concerns detected

Safety Factors
Established domain with long registration history
Absence of malicious Indicators of Compromise
No suspicious forms or data collection
Consistent branding with Concordia nonprofit organization
Domain age information unavailable

Details

Page Title

H.E. Álvaro Uribe Vélez - Concordia

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

The domain 'www.concordia.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'www'. The second-level label 'concordia' is 9 characters long split between 4 vowels and five consonants. Tokenizing the label suggests 1 word: concordia. 'concordia' most often appears in Danish. Usage also turns up in Spanish and Galician contexts.

Screenshot

Security scan screenshot of https://www.concordia.net/community/president-alvaro-uribe-velez/

Page Load Overview

39.69s
Total Load Time
62
HTTP Requests
19
Domains
478 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-US
Text Length:9,451 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6245.79.78.123Fremont, California, United States
AS63949Akamai Connected Cloud
0142.250.185.227United States
AS15169GOOGLE
0142.250.184.206United States
AS15169GOOGLE
075.101.235.150Ashburn, Virginia, United States
AS14618AMAZON-AES
0142.250.185.110United States
AS15169GOOGLE
0142.250.186.35United States
AS15169GOOGLE
0157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0216.58.206.74United States
AS15169GOOGLE
0142.250.110.156United States
AS15169GOOGLE
013.32.27.5New York, New York, United States
AS16509AMAZON-02
6288--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T105B31C32158C883E03EB51C8B17A6718B0FB4315C12144C8F6BE92B5DBEEDE8EA7B555

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tWWflESmaWz/xG3qjI7xqzrwfJpmxgIIehXKKKtOmxgII4OBYN7073bJj8sP7VTz:4WflpmaW7xG3q7jThkn4P79Ms

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:107683:BC0C0UNgUgDVIQdBEhFAEAHViJA0C1QSrI+gFIwBIbNSCTIEWCz8AAHa6yUULog318eUARrgAygQBILHyDQALsEqgiQqwCEG

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:ff9f8797fbc3dffe
Perceptual Hash:bc1ec3e3c1aa1c3c
Difference Hash:432c2e2e02363726
Wavelet Hash:ff878282c283c3be
Color Hash:#c1e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data