Security Scan Report: inkopskollen.se

Redirected to:
https://app.parsly.com/login
Site favicon
Submitted: Sep 29, 2026, 12:10:41 AMCompleted: Sep 29, 2026, 12:12:14 AMpubliccompleted

This website contacted 33 IPs in 5 countries across 21 domains to perform 148 HTTP transactions. The main domain is app.parsly.com and was registered 7 years ago.

Submitted URL: https://inkopskollen.se

Effective URL:

https://app.parsly.com/login
Redirected

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Login page on unranked app.parsly.com, reached via redirect from the old inkopskollen.se domain and explained by a rebranding notice. No Indicators of Compromise, no malware, no brand impersonation and no exfiltration — only a standard own-account sign-in.

Risk Factors (3)
Credential login form served on an unranked domain whose registration age is not published
Cross-domain redirect from inkopskollen.se to app.parsly.com before the login page is served
Suricata IDS raised two HIGH alerts for DNS queries to a .to TLD (Potentially Bad Traffic) — generic, not phishing- or malware-specific
Safety Factors (5)
No Indicators of Compromise, no YARA malware patterns, no known malicious kit, no Safe Browsing or logging/credential-exfiltration signals
Account page is the service's own login on its own registrable domain (app.parsly.com) — self-branding, no impersonation of another entity
Cross-origin form submission assessed as a legitimate SSO flow, not credential exfiltration
Page displays a Swedish company registration number (559225-2844) and a coherent rebranding notice explaining the domain move
All third-party script hosts loaded (Analytics, Hotjar, Tawk.to, Facebook) are top-1M ranked, common legitimate services
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 'inkopskollen.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The registrable portion 'inkopskollen' spans 12 characters split between four vowels and eight consonants. Splitting it apart reveals four words: in, kop, skoll, en. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://inkopskollen.se

Page Load Overview

37.95s
Total Load Time
4.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:299 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

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4143.204.181.115Cloudfront · CDNUnited States
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444.220.127.32Aws · CLOUDAshburn, Virginia, United States
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465.9.130.86Cloudfront · CDNUnited States
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4104.20.42.169Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
434.253.163.93Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
14833--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B193A77744179840D7A38DD330CEBF17790A902297A69067F62C4ED88FD79BB07A9328

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:/TP+QZ+/Ja4Ja8o/Qo3shkG0WXMNaTQJA6qpaV2BWmDZsJREOsGzDm4soRtL1BQ9:/TGQQ/Ja4JajngyOMquEDpD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:88954:wQhJoggxMgYjCmShVAUkSBAoVEBhgApEiikECHKwAJgZAVaQe9YPhHgEkAqCUSgwwAIAjnRGyQMRikURUjqMxRTNRqEKCZEg

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:ffffffffffff0000
Perceptual Hash:b1b522cd4e57b161
Difference Hash:18161e161200d900
Wavelet Hash:ffc3cfd31b1f0000
Color Hash:#2dd29e

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data