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Security Scan Report: institute.global

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Submitted: Nov 3, 2025, 2:00:51 PMCompleted: Nov 3, 2025, 2:01:59 PMpubliccompleted
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Summary

This website contacted 21 IPs in 2 countries across 4 domains to perform 69 HTTP transactions. The main domain is institute.global and was registered NaN years ago.

Submitted URL: https://institute.global/experts/sanna-marin

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns

Safety Factors
Established domain age
No malicious Indicators of Compromise
No suspicious forms or data collection
Consistent branding with official organization
Domain age information unavailable

Details

Page Title

Sanna Marin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(58%)

Domain Information

Within the .global top-level domain, 'institute.global' is registered while skipping any subdomain. The second-level label 'institute' is 9 characters long holding 4 vowels versus 5 consonants. Word splitting yields one word: institute. The median word length lands at 9 characters. 'institute' most often appears in English. You will also see it in Lithuanian and Chinese (Pinyin) contexts. Overall, 'institute.global' reads as English with single-word simplicity.

Screenshot

Security scan screenshot of https://institute.global/experts/sanna-marin

Page Load Overview

22.89s
Total Load Time
69
HTTP Requests
4
Domains
1.3 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-GB
Text Length:2,194 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
58%
corporate business
53%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.67.202.14United States
AS13335CLOUDFLARENET
33.5.244.126London, England, United Kingdom
AS16509AMAZON-02
3104.21.22.26United States
AS13335CLOUDFLARENET
313.226.244.83United States
AS16509AMAZON-02
313.226.244.45United States
AS16509AMAZON-02
3104.20.26.31United States
AS13335CLOUDFLARENET
313.226.244.16United States
AS16509AMAZON-02
3172.66.156.156United States
AS13335CLOUDFLARENET
32606:4700:10::6814:1a1fUnited States
AS13335CLOUDFLARENET
352.95.150.194London, England, United Kingdom
AS16509AMAZON-02
6921--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1265309326200093F1653C5D5F3B57B6ED05BD3DACBAF5968B26C42B237C3CA4E45A1A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Wa8fpiqkPBqFiqkPwq2iqkPGq7iqkPaq3iqkPIqDiqkPWqrbZ532NUPlPlPlP0Y2:sfX326PlPlPlP6r1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63799:o8RiACpgWJKQJCIYVYCmAXAAAiGT6AAFIQotGaSgJJFnUEYQHQDAgh4CiaLrAxGtb/AJkAAqOlUhRQAVCLA2oAlEcKoF3RPA

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:00ffe7e7e7e7fffc
Perceptual Hash:f32d5c21762d5326
Difference Hash:72004c4d4d4c1c68
Wavelet Hash:00e6e6e7e7e7c600
Color Hash:#87c5a0

Other Hashes

Crop Resistant:72004c4d4d4c1c68,0101070606050101,5bcfa6b2e276e3d9

Scan History

Scan history not available

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