Security Scan Report: truenet.taxistockholm.se

Redirected to: https://truenet.taxistockholm.se/sign-in?return=%2F

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Submitted: Nov 28, 2025, 4:23:30 AMCompleted: Nov 28, 2025, 4:26:39 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 4 domains to perform 23 HTTP transactions. The main domain is truenet.taxistockholm.se and was registered NaN years ago.

Submitted URL: https://truenet.taxistockholm.se/

Effective URL: https://truenet.taxistockholm.se/sign-in?return=%2FRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate internal login page with no detected threats.

Safety Factors
Well‑established domain
No credential‑collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

TrueNet - Taxi Stockholms intranät

Scan Type

public

Language

🇸🇪

Swedish

(49% confidence)

Category

unknown

(0%)

Domain Information

The domain 'truenet.taxistockholm.se' uses the Swedish country-code top-level domain (.se); it also runs on subdomain 'truenet'. Count 13 characters in 'taxistockholm' with four vowels and nine consonants. It segments into two words: taxi, stockholm. The median word length lands at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://truenet.taxistockholm.se/

Page Load Overview

1.46s
Total Load Time
23
HTTP Requests
4
Domains
853 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:49%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:49%
Script Type:Latin
Text Length:211 chars
Detector Agreement:75%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1813.95.208.90Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
320.150.83.164Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
32a04:4e42:8e::820Frankfurt am Main, Hesse, Germany
AS54113FASTLY
32603:1020:206:1::282Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1146.75.123.52Frankfurt am Main, Hesse, Germany
AS54113FASTLY
120.50.88.232Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
236--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T105621BB19264211D6023A0A41863E34D72F5B41DF40BACB8FEFDA0AD8FE57C58877B16

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:HM9Mh9RPnMTnemYilFFeUhaQtZWwQ7WFdwNuSX0X92dTyHKDeg2NLOY873+3zD:HM9Mh9RYtFFeUhaQe6FdwndlDe/OY87C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15699:IKY1AQiKRLkUkmLDKGRKQAQqIcwAQEATrK0Pkge0EMA6gAYZBqYgygAEpsLbCPUECDkAQKoxg0BEaAIQNI1QLAxDBlVInpAs

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:bf3ffffff78181ff
Perceptual Hash:bf87872fd0e068d0
Difference Hash:404000042c33230c
Wavelet Hash:3e3efefe820080c7
Color Hash:#1f9365

Other Hashes

Crop Resistant:404000042c33230c

Scan History

Scan history not available

Unable to load historical scan data