Security Scan Report: involve.se

Redirected to:
https://www.involve.com/
Site favicon
Submitted: Oct 12, 2026, 7:00:37 AMCompleted: Oct 12, 2026, 7:01:44 AMpubliccompleted
This website contacted 33 IPs in 3 countries across 22 domains to perform 83 HTTP transactions. The main domain is involve.com and was registered 17 years ago.

Submitted URL: https://involve.se

Effective URL:

https://www.involve.com/
Redirected

AI Security Verdict

Low Risk

Confidence: 78%

1
Risk Score

involve.se redirects to www.involve.com, a self-branded Swedish communications agency. No forms, no impersonation, no threat-intel or malware signals — clean corporate site.

Safety Factors (5)
Self-branding: page title and meta description present 'Involve' consistently with the resolved domain involve.com
No forms of any kind, so no phishing, credential-harvesting or payment-capture surface
No Indicators of Compromise, YARA malware, IDS alerts or kit-roster hits
Real-world business details present: Sveavägen 201, 103 59 Stockholm address, phone number, client case studies, cookie/privacy policy reference
Third-party scripts are all top-1M ranked, mainstream services (Google, Cloudflare, Webflow, LinkedIn)
Domain age information unavailable

Details

Page Title

Involve | We transform business by involving all the people

Scan Type

public

Domain Name Analysis

The domain 'involve.se' uses the Swedish country-code top-level domain (.se) without a subdomain. Its registrable label 'involve' stretches across 7 characters split between 3 vowels and four consonants. Tokenizing the label suggests one word: involve. Average segment length settles at 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://involve.se

Page Load Overview

9.24s
Total Load Time
5.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:4,100 chars
Detector Agreement:60%

Website Classification

Primary Category

corporate business59% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
59%
government public service
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19198.202.211.1Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
2104.18.161.117Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2162.159.138.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.64.149.114Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
2172.64.154.50Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
213.226.247.220Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
8333--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F253A623A2D410370B1713DEB3517FAF6DDB820ACF86CC44B6B8D3511B66CE51AAB295

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ngnGz3mDrSfTBi4mnNfO0AhhZFLouhFOjROuw0KPJQFRK+HQ1mwKt6JrwfZcAEA3:qP2BpqI07wKt6JkfTPR1Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:65737:SEIbAElM4JSANySHwtcjoAVODjYBgSxGggpEQAFACA4YQbMgiAjLkRBISioVmYHXSAgaFOgIQJEAc8CDiMANCWRIDoWthkRK

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:ff0000030fffffff
Perceptual Hash:b10ed8c6b986f0ce
Difference Hash:fd3fdf9f9b0c9e9a
Wavelet Hash:1f0000010fffffcf
Color Hash:#d23d2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data