Security Scan Report: saganomsanningen.se

Site favicon
Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 4 domains to perform 36 HTTP transactions. The main domain is saganomsanningen.se.

Submitted URL: https://saganomsanningen.se

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established Swedish book/author site with self-branding, no credential or payment forms, and no threat-intel indicators. No evidence of phishing, malware, or impersonation.

Safety Factors (5)
Established domain age (9753 days)
Self-branding consistent with domain
No credential or payment forms
No Indicators of Compromise, YARA, IDS, or Safe Browsing hits
Only normal analytics/third-party script usage
Domain age information unavailable

Details

Page Title

Sagan om sanningen

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'saganomsanningen.se' is registered. The core label 'saganomsanningen' covers 16 characters split between 6 vowels and 10 consonants. Word splitting yields 4 words: saga, noms, anning, en. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://saganomsanningen.se

Page Load Overview

3.75s
Total Load Time
858 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΈπŸ‡ͺSwedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-SE
Text Length:1,715 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content29% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
29%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
993.188.2.52Sweden
AS39570Loopia AB
993.188.2.51Sweden
AS39570Loopia AB
9172.66.169.241Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
9104.20.23.96Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
364--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1945385B2405C607FBA4FA7E89051B229E6C5B20ACF09266573FD315CD744FB624FA22D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:3HZdapZfPqMfFJQPhxeXI0OJfWyWDRZ3dxm8kVJCTJoO:3fap5qM9JQPhxeQoRRZ3nm8kVJCTJoO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63541:0QLE2QkxZoqKkgoIGAKC6TyCQEgAGlAgGcUGRgKqU7okK+JRCBAgIRBAuBYhImAQhVoaCB4QwqMFwLoQQkgE1yWHETIEBJM9

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:979ffff3f3f3f7f7
Perceptual Hash:e49b9b64649b9964
Difference Hash:2c2c502626260c2c
Wavelet Hash:86869ef2f0e0e0e0
Color Hash:#e06c6c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data