Security Scan Report: www.hbl.fi

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Submitted: Nov 3, 2025, 2:46:14 PMCompleted: Nov 3, 2025, 2:47:22 PMpubliccompleted
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Summary

This website contacted 19 IPs in 3 countries across 9 domains to perform 61 HTTP transactions. The main domain is hbl.fi and was registered NaN years ago.

Submitted URL: https://www.hbl.fi/artikel/sanna-marin-jag-fick-sa-dumma-fragor-att-hjarnan-smalte/

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate news site with a low‑risk subscription form.

Risk Factors
Form action points to an external, obscure domain (bn-valvet-prod.bnu.bn.nr) which is not a widely recognized payment processor
Safety Factors
Long‑standing reputable news organization
No password or credit‑card fields on the page
No known malicious Indicators of Compromise
Domain age > 10 years reduces suspicion
Domain age information unavailable

Details

Page Title

Sanna Marin: Jag fick så dumma frågor att hjärnan smälte – Hufvudstadsbladet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

news/blog

(50%)

Domain Information

The domain name 'www.hbl.fi' uses the Finnish country-code top-level domain (.fi) and includes subdomain 'www'. The second-level label 'hbl' is 3 characters long with 0 vowels and 3 consonants. Splitting it apart reveals 2 words: h, bl. Expect 1.5 characters per word on average. The linguistic tilt is Breton for 'h'. It also appears in Chinese (Zhuyin) and Sinhala contexts. Overall, 'www.hbl.fi' reads as Breton.

Screenshot

Security scan screenshot of https://www.hbl.fi/artikel/sanna-marin-jag-fick-sa-dumma-fragor-att-hjarnan-smalte/

Page Load Overview

19.77s
Total Load Time
61
HTTP Requests
9
Domains
651 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:7,119 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news/blog
50%
technology software
48%
news media journalism
43%
government public service
40%
social media network
38%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
362.146.255.14Netherlands
AS13335CLOUDFLARENET
318.66.112.13United States
362.146.255.12Netherlands
AS13335CLOUDFLARENET
334.49.182.26Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
362.146.255.13Netherlands
AS13335CLOUDFLARENET
318.66.112.36United StatesUnknown
3147.12.18.68Netherlands
AS200596Adyen N.V.
3147.12.19.68Netherlands
AS200596Adyen N.V.
362.146.255.11Netherlands
AS13335CLOUDFLARENET
6119--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A84A367A2D0787DF77F0229F666769A33046102F201CCABB14861D63B87ED2993F61D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:2CJZS5PSBv70FG00xMgpHeW8HgZgzMLhd4GkpRepYppY/KwQxTEb:XSE4FG00xMgpf8RMLh2bpYpspFxEb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:374554:YAYIAIiAqD2QPAzjNRQMzcBIDKoCGsotBJBIAJQVoIQKkWIcyMIjgIQqTLHCVkRlktRISAikNcgCEAQwCdAyGFkYRjkoGLqB

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:183c3c3c1c1c3c18
Perceptual Hash:9a07641e35cf34da
Difference Hash:7979697179796969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#bf40b7

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data