Security Scan Report: es.weforum.org

Submitted: Feb 10, 2026, 3:54:55 AMCompleted: Feb 10, 2026, 3:56:33 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is es.weforum.org and was registered NaN years ago.

Submitted URL: https://es.weforum.org/stories/authors/sultan-ahmed-bin-sulayem/

The Cisco Umbrella rank of the primary domain is #114,994 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate World Economic Forum subdomain with no security concerns.

Safety Factors
Established domain (>30 years)
Official World Economic Forum subdomain
No malicious Indicators of Compromise
No forms or data collection
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

es.weforum.org

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

Domain 'es.weforum.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'es'. The second-level label 'weforum' is 7 characters long split between 3 vowels and four consonants. It segments into 2 words: we, forum. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://es.weforum.org/stories/authors/sultan-ahmed-bin-sulayem/

Page Load Overview

13.12s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:738 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
63%
adult content
56%
forum community discussion
37%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
188.221.62.60Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T177048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszK2bMy8OldK:XhoC9JSqzzbs6o3Sj3gcrsG2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184584:GtAOECXHQEC9IhwCYEbIoMEiBoyDA4WIAng6JOoENyJ1cSiWIJEQSgsgKA+JNSCFEISARABEoSSBFCRGhIHAYoUIEMiMkEEB

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00181c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#c5ac87

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data