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Security Scan Report: iva.se

Redirected to: https://www.iva.se/

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Submitted: Sep 26, 2025, 4:41:23 PMCompleted: Sep 26, 2025, 4:43:07 PMpubliccompleted
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Summary

This website contacted 40 IPs in 5 countries across 7 domains to perform 50 HTTP transactions. The main domain is iva.se and was registered NaN years ago.

Submitted URL: https://iva.se/

Effective URL: https://www.iva.se/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears to be the legitimate website of the Royal Swedish Academy of Engineering Sciences.

Safety Factors
Long domain registration history (1992‑09‑14)
Absence of malicious Indicators of Compromise
No collection of sensitive personal data
Official Swedish language content matching the known institution
Domain age information unavailable

Details

Page Title

IVA - Vi bygger broar mellan forskning, politik och näringsliv

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Screenshot

Security scan screenshot of https://iva.se/

Page Load Overview

4.45s
Total Load Time
50
HTTP Requests
7
Domains
1003 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:16,850 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.58.206.35United States
AS15169GOOGLE
113.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1142.251.168.155United States
AS15169GOOGLE
123.50.131.141Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
152.146.128.240Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
123.56.205.206Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1142.250.185.168United States
AS15169GOOGLE
113.107.253.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1216.239.34.36United States
AS15169GOOGLE
123.50.131.159Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7640--

Detected Technologies2

Open-Graph-Protocolvwebsite
100%
Episerver/Optimizely CMS
25%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15C54947072E6325F0B5787F09690D30BAAD194C699C111C9F49E8B382FC6D1A9CBE17B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/ITmdzahkRo0alOlwyiCDmX2P0/BtlkwT3:gTmdzaq/alOlwyiCDmX2fc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:298407:ASAbPECMUxEAM0RzAIOjApCYUSFBibAGgbWDCkAARhN0jGEwSKxxEiMMBKUymAMKxEFJloAhMMLQNhmAAKTrAEaK4kAOAAEk

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:00046c053f39fffe
Perceptual Hash:9223de29146f49de
Difference Hash:cdddd9ddd9d15574
Wavelet Hash:000c6d053f0dffbe
Color Hash:#e07b6c

Other Hashes

Crop Resistant:cbcbe0c3c0c0c8c6,e0f8e0e4a282fefc,e0e0e0a2a280e0c0,fcf8fcfcdcdcdc70,ccdcd9ddd9d15574

Scan History

Scan history not available

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