Security Scan Report: boka.lastbilsstation.se

Redirected to: https://boka.lastbilsstation.se/opter/account/login?returnUrl=/opter/

Submitted: Dec 3, 2025, 9:45:49 PMCompleted: Dec 3, 2025, 9:46:33 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 16 HTTP transactions. The main domain is boka.lastbilsstation.se and was registered NaN years ago.

Submitted URL: https://boka.lastbilsstation.se/

Effective URL: https://boka.lastbilsstation.se/opter/account/login?returnUrl=/opter/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Long‑standing domain registration
Standard authentication form for a legitimate service
Domain age information unavailable

Details

Page Title

Opter

Scan Type

public

Language

🇸🇪

Swedish

(50% confidence)

Category

phishing scam

(28%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'boka.lastbilsstation.se' is registered, featuring subdomain 'boka'. The second-level label 'lastbilsstation' is 15 characters long split between 5 vowels and 10 consonants. Segmentation suggests 4 words: last, bil, s, station. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://boka.lastbilsstation.se/

Page Load Overview

0.37s
Total Load Time
16
HTTP Requests
1
Domains
947 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:50%
Script Type:Latin
Text Length:189 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam28% confidence
Type: webapp
Method: ml+structural

All Detected Categories

phishing scam
28%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15185.88.115.92Skellefteå, Västerbotten County, Sweden
AS5763084 Grams AB
161--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183B1747020F5493658938AE678E19F2B7ED5E343CA1A4988B1BC4BF41FD7D839D6310A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:H1ZWDJrc6F8d0IQbkY6d2cMLV6RdIY4OFx7ISzZCY/J/:HTWDJrc6x7lPZZVOFZtH/5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5141:EAigAChAhAKBKDIcVQAAABKBEMBhQIosAAAhFdAAAhiAwAcAmpBCCMAAighApAAFQAAAIBBAACEAQAFY4AglAMMkeC4EAMAE

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:04ffffffffff0000
Perceptual Hash:91937f161e3a325a
Difference Hash:688cdcdaea8e9830
Wavelet Hash:00ffff7f7e460000
Color Hash:#b96ce0

Scan History

Scan history not available

Unable to load historical scan data