Security Scan Report: pallgafflar.se

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 22 HTTP transactions. The main domain is pallgafflar.se.

Submitted URL: https://pallgafflar.se

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Swedish manufacturer/dealer page for pallet forks and fork frames, self-branded on its own matching domain with real company contact details and no forms or threat-intel hits. No risk factors found.

Safety Factors (5)
Domain age unknown is a neutral signal (registry does not publish creation dates); it is not treated as a risk factor
Self-branding matches the domain — not typosquatting or brand impersonation
No credential, payment or login form anywhere on the page
No threat-intelligence, hunting rule, IDS or behavioural hits
Page publishes verifiable company contact and registration information
Domain age information unavailable

Details

Page Title

PALLGAFFLAR & GAFFELSTÄLL

Scan Type

public

Domain Name Analysis

The domain name 'pallgafflar.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The registrable portion 'pallgafflar' spans 11 characters with 3 vowels and eight consonants. Tokenizing the label suggests 3 words: pall, gaff, lar. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

2 REDSKAPARNA PALLGAFFLAR & GAFFELSTALL Pallgafflar & gaffelställ Kontakt Pallgafflar och gaffelställ Våra pallgafflar och gaffelställ är designade för att användas med traktorer, hjullastare och gr...

Page Load Overview

2.10s
Total Load Time
3.2 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:6,045 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
96%
blog personal website
96%
government public service
94%
social media network
93%
education learning
91%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2281.170.159.187Vetlanda, Jönköping, Sweden
AS8473Bahnhof AB
221--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5A3E96193B058F5797F837B4D41A3089257E902CA45B7D5F0F7D294A2CCEA50AE3B0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GpcmRiBmgT0cTrnbO27kDedE6nqTg/Z4bwemlUVugZmqKiRA4WX:ycmoTkydE6jZ4bwemlUVugZmqin

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:104421:AZJQBIMYoNEF7IS6CQF6SWUgMBVIEUrBQIYABDBQhUZZ8scUDjoMDKQIAFU6hAholBBZjNEA3kAkgQwEVQyjSsAIVQECdQDK

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:ffff040c24343c3c
Perceptual Hash:93b9ccecb11b4626
Difference Hash:3a9cdcd9cdc5f9e9
Wavelet Hash:ffff042c04343c3c
Color Hash:07580000000

Scan History

Scan history not available

Unable to load historical scan data