Security Scan Report: oec.world

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Submitted: Oct 14, 2025, 7:41:25 PMCompleted: Oct 14, 2025, 7:42:04 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 45 HTTP transactions. The main domain is oec.world and was registered NaN years ago.

Submitted URL: https://oec.world/en/profile/bilateral-country/ken/partner/civ

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with over 7 years of age
No suspicious forms or data collection
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Loading bilateral-country ken civ... | The Observatory of Economic Complexity

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

corporate

(50%)

Domain Information

The domain name 'oec.world' uses the .world top-level domain. Its registrable label 'oec' stretches across 3 characters holding two vowels versus one consonant. Breaking it apart gives 2 words: oe, c. Expect 1.5 characters per word on average. The linguistic tilt is Breton for 'c'. You will also see it in Vietnamese and Galician contexts.

Screenshot

Security scan screenshot of https://oec.world/en/profile/bilateral-country/ken/partner/civ

Page Load Overview

11.48s
Total Load Time
45
HTTP Requests
1
Domains
42 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:en
Text Length:802 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%
social media
30%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4534.57.226.59Council Bluffs, Iowa, United States
AS396982GOOGLE-CLOUD-PLATFORM
451--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17603C4B7D080E1144077CDFB71A6736AE229C4F3D63125DCE7B615A883CEE89295268F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:J1pdyPnKurtIeGSUvw4fyHQ2vdfYc5rSznvGyjLi5qIi5gPi5+0X4vOacFEUqt:KPnVtHb5rSznvGyjPSx0XjFEUqt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38044:mgxEQCD5iYAiGsHDfoas4AYqr0BIqRKBoZNQiAgISAUQSACImYIJJJUOc2JgEBIAIrBxAKQgSzgAiCBA2hcBRBSAh/0YScAN

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:ffe7c7c7e7e7ffff
Perceptual Hash:b333cccc8c333333
Difference Hash:000c4c0c0c0c0800
Wavelet Hash:c4c0c0c00307273f
Color Hash:#2d8646

Other Hashes

Crop Resistant:000c4c0c0c0c0800

Scan History

Scan history not available

Unable to load historical scan data