Security Scan Report: daniel-berg.se

Redirected to:
https://www.daniel-berg.se/
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Submitted: Sep 29, 2026, 4:40:10 AMCompleted: Sep 29, 2026, 4:40:45 AMpubliccompleted

This website contacted 9 IPs in 2 countries across 4 domains to perform 26 HTTP transactions. The main domain is daniel-berg.se and was registered 14 years ago.

Submitted URL: https://daniel-berg.se

Effective URL:

https://www.daniel-berg.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Long-established personal site (daniel-berg.se, 14+ years) displaying its own brand, with no forms, no threat-intelligence hits, and no malware indicators. No evidence of phishing or fraud.

Safety Factors (5)
Domain age 5435 days (14+ years) — WELL_ESTABLISHED risk category
No credential, login, or payment forms anywhere on the page
Self-branding consistent with the domain; no third-party brand impersonation
No threat-intelligence matches, no malware indicators, no network IDS alerts
Content classified as news media / journalism (77% confidence)
Domain age information unavailable

Details

Page Title

Daniel-berg

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'daniel-berg.se' is registered without a subdomain. The registrable portion 'daniel-berg' spans 11 characters containing 4 vowels alongside six consonants; it also includes 1 hyphen. Tokenizing the label suggests two words: daniel, berg. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://daniel-berg.se

Page Load Overview

1.60s
Total Load Time
541 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:325 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
77%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
103.79.173.192Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
23.125.172.46Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
213.226.247.7Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.250.154.97Google · CDNUnited States
AS15169Google LLC
23.73.27.108Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
218.185.25.67Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
213.226.247.95Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
213.226.247.105Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
213.226.247.155Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
269--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17123A6AE8134297F63A304A3FC6432CD79BC50B2F2865C50F0BE4D2887D9D86766657E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:1btW6xwPhSSXSpjpOE+NN+ZI3d9LVr7/zu/8ZG/vID:1BW66tSpjpOE+NMEd9I/a1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46733:hBFIpRQCgoJC5ioqmOi2J4ZcABHjhgkI3IQAAZKIoACKBBbIFEk6CE1jCKAwAYzNICyG0AlRMwADkUoJJAQFj8wVZBCRSc8I

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:3f3f3f3f3f3f3f3f
Perceptual Hash:81fe99fe7e029901
Difference Hash:d0d0d0c4c6d0d0d0
Wavelet Hash:0d3f2e21232c1f3f
Color Hash:#ac539c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data