Security Scan Report: psfinancegroup.se

Redirected to:
https://psfinancegroup.com/
Site favicon
Submitted: Oct 13, 2026, 10:50:07 AMCompleted: Oct 13, 2026, 10:51:24 AMpubliccompleted

This website contacted 36 IPs in 5 countries across 23 domains to perform 266 HTTP transactions. The main domain is psfinancegroup.com and was registered 21 years ago.

Submitted URL: https://psfinancegroup.se

Effective URL:

https://psfinancegroup.com/
Redirected

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Self-branded Nordic debt-collection company site behind a BitNinja CAPTCHA. Only a standard contact form (no password/payment fields), no threat-intel, malware or IDS hits. The age/ranking belongs to the redirecting entry domain; the final .com's own content shows no malicious signal.

Safety Factors (4)
Content reads as a genuine Swedish/Nordic debt-collection (inkasso) corporate site with services, customer testimonials and team pages.
No credential or payment collection: contact form only, no password or card fields.
Cross-origin form submission is to the same organisation's own domain (psfinancegroup.com) — flagged as a legitimate SSO/domain-move flow, not credential exfiltration.
No Indicators of Compromise, no JavaScript malware patterns, no network IDS alerts.
Domain age information unavailable

Details

Page Title

Specialister på fordringar och betalningar - PS Finance Group

Scan Type

public

Domain Name Analysis

You're looking at domain 'psfinancegroup.se' on the Swedish country-code top-level domain (.se) and has no subdomain. Count 14 characters in 'psfinancegroup' holding five vowels versus nine consonants. It segments into three words: ps, finance, group. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://psfinancegroup.se

Page Load Overview

10.18s
Total Load Time
16.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:20,245 chars
Detector Agreement:60%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
technology software
31%
news/blog
20%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21185.133.205.221Sweden
AS12552GlobalConnect AB
7194.63.248.52Norway
AS12996Domeneshop AS
7142.251.14.97Google · CDNUnited States
AS15169Google LLC
7142.251.14.94Google · CDNUnited States
AS15169Google LLC
7172.67.180.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
75.9.124.238Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
7142.251.110.94Google · CDNUnited States
AS15169Google LLC
7216.239.32.36Google · CDNUnited States
AS15169Google LLC
7142.251.127.154Google · CDNUnited States
AS15169Google LLC
7142.250.154.94Google · CDNUnited States
AS15169Google LLC
26636--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147B34AAC86E72096548720C4277F3A187176A013DE11ED95BFAC83545FCE93DADB638C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3Suasciga6JxsRgdUqwrMJnTTB1Rx+AZaBrDCoQwhXNp9+:7Br2TTBzx+Ap6XNq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109125:9nNAIcCUmUU9KCREi8hCoaakOiBAAUSwAIiDQYMKCJCuAsA8RQeHFgiW4BAOkCAAhAJAECA8RuiBgGrhSGIJelRApBSQhUIB

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:303c3c3c3c24003c
Perceptual Hash:d7dc2471cf309b30
Difference Hash:6070787068484d69
Wavelet Hash:3c3c3c3c3e3e013d
Color Hash:#9953ac

Other Hashes

Crop Resistant:6070787068484d69

Scan History

Scan history not available

Unable to load historical scan data