Security Scan Report: hjalplinjen.se

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 64 HTTP transactions. The main domain is hjalplinjen.se.

Submitted URL: https://hjalplinjen.se

AI Security Verdict

Safe Website

Confidence: 90%

0
Risk Score

Self-branded Swedish mental-health support site with no forms, no threat-intel hits, and no malicious JavaScript; unknown domain age is neutral here.

Safety Factors (5)
Self-branding detected; title/meta match the domain.
No forms, password fields, or payment fields present.
No Indicators of Compromise, malware patterns, or IDS alerts.
No cross-origin credential exfiltration or suspicious JavaScript behavior.
Content appears consistent with a public mental-health support service.
Domain age information unavailable

Details

Page Title

Hem | Hjälplinjen

Scan Type

public

Domain Name Analysis

Domain 'hjalplinjen.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Count 11 characters in 'hjalplinjen' holding 3 vowels versus eight consonants. Word splitting yields five words: hj, al, pl, in, jen. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hjalplinjen.se

Page Load Overview

2.48s
Total Load Time
714 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:2,709 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
81%
healthcare medical
76%
government public service
65%
blog personal website
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
64193.93.250.122Sweden
AS35041Binero AB
641--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162D2D61242E0702B1A8209C4EF74F91FDB8AE557CB4B1944F66C899F4FD2E554C2FA2B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:7+sXzF1er8rtKLPt33MSTs+bDf/UmXg2W5akA+O3DiZkX1LMXmsO:7+sXzFASAPZMSAq3UMg2WckA+qDiZkXD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30634:qwEUQtCADQnhYgoI0YGKgMbCQQEilHEAUW2ABUO0RoAkQpJIAYELGOboEW0SkiCgGYAggiZu4mYDKMQCgBMSwMU0UCKDHQGd

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:00ffc38199999100
Perceptual Hash:ad93404d4369717f
Difference Hash:d62f2b2b33333337
Wavelet Hash:00ffc3c3db9b9b00
Color Hash:#40acbf

Scan History

Scan history not available

Unable to load historical scan data