Security Scan Report: narkotikajournal.se

Redirected to:
https://www.narkotikajournal.se/
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 2 domains to perform 7 HTTP transactions. The main domain is narkotikajournal.se.

Submitted URL: https://narkotikajournal.se

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Swedish-language product page for a healthcare narcotics-journal tool (LogEze); self-branded domain, no forms, no credentials, no threat-intel, hunting rule or IDS hits. Nothing malicious observed.

Safety Factors (5)
Self-branding detected: page name matches its own domain (narkotikajournal.se)
No credential, login or payment forms present
No Indicators of Compromise, no malware/hunting-rule hits, no network IDS alerts
No third-party script hosts; no cross-origin network activity or exfiltration
Realistic, non-urgent informational content consistent with a legitimate SaaS product page
Domain age information unavailable

Details

Page Title

Förbrukningsjournal för narkotika, Knarkbok | LogEze

Scan Type

public

Domain Name Analysis

The domain name 'narkotikajournal.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'narkotikajournal' stretches across 16 characters holding 7 vowels versus 9 consonants. Breaking it apart gives 4 words: nar, kotik, a, journal. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

B DigitallNarkotikajournal Férenkla, effektivisera och kvalitetssakra er lagstadgade skyldighet att féra en kontinuerlig, korrekt och komplett narketikajournal. Med LogEze identifieras avvikelser in...

Page Load Overview

1.64s
Total Load Time
144 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,063 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service53% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
53%
corporate business
43%
corporate
35%
healthcare medical
29%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4109.232.236.90France
AS50624Outscale SASU
1194.9.94.85Sweden
AS39570Loopia AB
1148.253.75.120France
AS50624Outscale SASU
1109.232.233.130France
AS50624Outscale SASU
74--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11942A773D0F18C73116236D858A69B089A6A410FCE9479337BBE851D8FCED9981F324E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:tYocRVGgbYYZASrLLW49YDCVuyfEhyy9yjbByxJ9y5xyJtcCDzUqhcB9uHNZytVg:tYZ3YQxrXWWuPw9uHNsnHoJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12939:o4hko9hBOQGgpD3EMBuCYCkJkaK6iRqQIARUQAoAAWEEYIggKmUpWQTmbJIiAWQBhACA6MECEEQzI8LBg3JCQEi5SWM+BKFS

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:0000ffffffffffff
Perceptual Hash:a8080c0c66f7d7f7
Difference Hash:b1318e0e8ea0aaaa
Wavelet Hash:0000c3e7c3dbdbdb
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data