ScanMalware.com

Security Scan Report: baket.se

Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/0bd8adc3-49a3-47a1-9fee-b0b21f0f4c35Domain and IP registration (RDAP)/api/v1/rdap/0bd8adc3-49a3-47a1-9fee-b0b21f0f4c35How often this domain was scanned/api/v1/domain/stats/baket.seScan history for this domain/api/v1/domain/history/baket.se?limit=15
This website contacted 22 IPs in 2 countries across 8 domains to perform 116 HTTP transactions. The main domain is baket.se.

Submitted URL: https://baket.se

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Local Swedish bakery's own website (baket.se) with matching self-branding, no forms, no impersonation, and no threat-intelligence, hunting rule, or IDS hits. Legitimate.

Safety Factors (5)
Self-branding: title and Open Graph metadata match the domain baket.se
No credential, login, or payment forms present
Clean threat intelligence, hunting rule, and IDS results
Consistent local-business content (address, opening hours, social media posts)
No brand impersonation of another entity and no manipulative or scanner-directed text
Domain age information unavailable

Details

Page Title

Hem - Baket

Scan Type

public

Domain Name Analysis

Domain 'baket.se' uses the Swedish country-code top-level domain (.se) without a subdomain. Count 5 characters in 'baket' holding two vowels versus 3 consonants. Tokenizing the label suggests two words: bake, t. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

BaGer! & KONDICOPI BAKET LJUNGBY

Page Load Overview

2.73s
Total Load Time
2.1 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:824 chars
Detector Agreement:100%

All Detected Languages

🇸🇪sv(69%)🇺🇸en(22%)🇭🇷hr(10%)

Website Classification

Primary Category

social media network84% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
84%
news media journalism
39%
blog personal website
39%
government public service
36%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8046.16.234.143Sweden
AS44136ODERLAND Webbhotell AB
16172.217.112.4Google · CDNUnited States
AS15169Google LLC
6192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
5142.251.14.95Google · CDNUnited States
AS15169Google LLC
5142.251.14.100Google · CDNUnited States
AS15169Google LLC
5142.251.150.119Google · CDNUnited States
AS15169Google LLC
5142.251.14.94Google · CDNUnited States
AS15169Google LLC
5142.251.14.139Google · CDNUnited States
AS15169Google LLC
5142.251.156.119Google · CDNUnited States
AS15169Google LLC
5142.251.14.120Google · CDNUnited States
AS15169Google LLC
11622--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0A328B3725EDC36276B43DB801476CC8486E6BAF55086E4B5F5132876F6EE330A3129

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JHlZABSA0An+AvJjzLkFfWJRobRYaWGYErM2v3O0oE4Er/ci4:mhpzYfg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:102596:ARcEGQwBkTQ1BKYGCwEq9kSGkgsIQhCAhjgDqyCgGCBh4BFsBSIHCp2p4mgZUIIECpgtBoFEhQAuCpEQgiNpKggcCUJAZOwJ

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:18010bfb3f01008f
Perceptual Hash:8849764cdc7db11d
Difference Hash:95939b33f29d3d1c
Wavelet Hash:18090bfb3f0305ff
Color Hash:38e00010000

Other Hashes

Crop Resistant:95939b33f29d3d1c,94939b33f29f1d1c

Scan History

Scan history not available

Unable to load historical scan data