Security Scan Report: gastabudstaden.se

Redirected to:
https://www.gastabudstaden.se/
Submitted: Sep 29, 2026, 12:30:06 AMCompleted: Sep 29, 2026, 12:30:41 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Swedish municipal fiber provider on its own matching domain; no forms, no impersonation, no Indicators of Compromise, no malware. Only weak priors (unranked, unknown age) — no concrete malicious signal.

Risk Factors (2)
Domain not present in Cisco Umbrella top 1M (weak prior only)
ML content classifier returned a low-confidence phishing/scam label (40%) — unsupported by any page content, form, or threat-intel evidence
Safety Factors (5)
Self-branding detected: title/meta mention 'gastabudstaden', matching the domain exactly
No credential, login, or payment forms anywhere on the page
No Indicators of Compromise or threat-intelligence matches against the page or its resources
All JavaScript served from the site's own domain — no third-party or cross-origin script hosts
Consistent, coherent municipal telecom content with standard navigation (Privat, Företag, Aktuellt, Om oss, Kontakt)
Domain age information unavailable

Details

Page Title

Gästabudstaden AB – ditt kommunala fiberbolag

Scan Type

public

Domain Name Analysis

Domain 'gastabudstaden.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'gastabudstaden' is 14 characters long containing 5 vowels alongside nine consonants. Splitting it apart reveals 4 words: gast, a, bud, staden. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gastabudstaden.se

Page Load Overview

1.66s
Total Load Time
943 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-SE
Text Length:772 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing/scam40% confidence
Type: dynamic
Method: structural

All Detected Categories

phishing/scam
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1577.91.222.16Nyköping, Södermanland County, Sweden
AS43012Gastabudstaden AB
151--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17953CA7153B400B6357F87AAE90AE3246157FA16CE0927E5F0F59198A1CCAF711E3B0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:S33lapnXoCdyWTiZ0uDemlUYuXwaLBbZIU5CVhyjbZIU5CAh0gbZIU5CEhIXbZIK:SnUfdyW+Z0uDemlUYugaLBbZIU5CVhyU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:65918:JIAFxFHDoFCklAIpBEoQJKFmBThoESbeOEhDAgGFCB4FBRIgQA8kGahB4ADiQRAAUa5hBSYAgEgQQIjBjAEpSD8FUgm0M8oW

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:0000000000ffffff
Perceptual Hash:be41becc42fac950
Difference Hash:b4f2b3e1f1232f2f
Wavelet Hash:001b081018ffffff
Color Hash:#936b1f

Scan History

Scan history not available

Unable to load historical scan data