Security Scan Report: digipeople.se

Redirected to:
https://www.digipeople.se/
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Submitted: Oct 5, 2026, 4:20:08 AMCompleted: Oct 5, 2026, 4:20:56 AMpubliccompleted

This website contacted 22 IPs in 1 country across 13 domains to perform 164 HTTP transactions. The main domain is digipeople.se and was registered 13 years ago.

Submitted URL: https://digipeople.se

Effective URL:

https://www.digipeople.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established 8-year-old Swedish payroll/HR consulting site with self-branding, no credential or payment forms, and no malware, YARA or IDS hits. The lone threat-intel match is an unverified report on a shared Wix IP, not this site.

Safety Factors (5)
Established 8-year-old domain with consistent branding across title, meta, OG tags and visible page text
No password, payment or disguised credential fields anywhere on the page
No malware/JS YARA matches, no native-YARA high-precision hits, no Suricata IDS phishing or malware alerts
All contacted third-party script hosts are top-1M ranked, well-known Wix/consent/analytics infrastructure
Contact details (phone +46 704279452, [email protected]) and legal/company attribution ('Digi People AB', privacy policy) are published
Domain age information unavailable

Details

Page Title

Digi People | interim konsult lön

Scan Type

public

Domain Name Analysis

The domain 'digipeople.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The registrable portion 'digipeople' spans 10 characters holding five vowels versus 5 consonants. Tokenizing the label suggests three words: dig, i, people. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://digipeople.se

Page Load Overview

8.11s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv
Text Length:2,746 chars
Detector Agreement:60%

Website Classification

Primary Category

corporate business69% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
69%
government public service
62%
technology software
39%
phishing scam
30%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1734.149.87.45Google · CDNKansas City, Missouri, United States
AS396982Google LLC
7185.230.63.107Ashburn, Virginia, United States
AS58182Wix.com Ltd.
765.8.131.77Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7100.57.36.175Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
734.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
734.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
7151.101.2.217Fastly · CDNUnited States
AS54113Fastly, Inc.
734.149.254.14Google · CDNKansas City, Missouri, United States
AS396982Google LLC
734.102.170.124Google · CDNKansas City, Missouri, United States
AS396982Google LLC
735.190.14.188Google · CDNKansas City, Missouri, United States
AS396982Google LLC
16422--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8E48E747608783DCEA7129F7285BB2C6A646103DE8205BDF9ED9B1417D3AF603A3325

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:MRdzLSvhjLp8NOtc37rAHZNUhSIs2GdWli8U+IVD4fQVQpcEjlTwrMw:2dIzcg0m2EW4gg4fQVQFlK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:704418:CwKSiAqwgIqkE7cslRKjHgJAmmEIAAtZMEDAswg2ACZFigUCIKFw7GSkACoJShCwogCJQOBlXQ4WZBFAICESSTNOWCotRjEg

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data