Security Scan Report: bothild.se

Redirected to:
https://www.bothild.se/
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Submitted: Sep 29, 2026, 9:50:11 AMCompleted: Sep 29, 2026, 9:50:51 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Swedish handmade-crafts blog on its own self-branded domain. No credential or payment forms, no threat-intel, YARA or IDS hits, no impersonation. Domain age unknown but that is neutral here.

Safety Factors (5)
Site displays its own brand, not another entity's — no impersonation
No credential, password, or payment forms (0 password, 0 disguised, 0 payment fields)
No Indicators of Compromise, YARA malware patterns, or network IDS alerts
No cross-origin credential forms or exfiltration detected
Known, benign hosting pattern (WordPress) with rich, coherent content about handmade crafts
Domain age information unavailable

Details

Page Title

Bothild – Unique artcrafts made by me

Scan Type

public

Domain Name Analysis

Domain 'bothild.se' uses the Swedish country-code top-level domain (.se) without a subdomain. Its registrable label 'bothild' stretches across 7 characters containing two vowels alongside five consonants. Breaking it apart gives three words: both, il, d. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bothild.se

Page Load Overview

2.06s
Total Load Time
1.5 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:1,892 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking68% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
68%
cryptocurrency blockchain
65%
healthcare medical
61%
gambling betting
52%
technology software
51%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29193.13.133.90Borlänge, Dalarna County, Sweden
AS1257Tele2 SWIPnet
291--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18273E93542BC76B72BF7D3DCB86EF36956826501CF4A97F9B1A9C24890C495308A3B0D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:2sf8CzfypSqpcW1v5DofsN7sHThPI1SwadQF5kTmNg8Jmc3p8emGUiPRS:2bCWkqBvZ8riP4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73523:IsWJL0EYAAABFGBqAADMIuhEUkrRhFBgACgiAlxo5DxBJFTlIMUegJJSi0CAhCRQhSKuTkWCIASCE0eKMAQAhTjA1AEEuQVw

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:00808080e0ffffff
Perceptual Hash:ef6bb29133be9400
Difference Hash:0b034103088c0f8e
Wavelet Hash:80c08080e0ffffff
Color Hash:#d2797e

Scan History

Scan history not available

Unable to load historical scan data