Security Scan Report: selflovebyanna.se

Redirected to:
https://www.selflovebyanna.se/
Site favicon
Submitted: Sep 26, 2026, 3:50:14 PMCompleted: Sep 26, 2026, 3:50:51 PMpubliccompleted

This website contacted 14 IPs in 2 countries across 5 domains to perform 35 HTTP transactions. The main domain is selflovebyanna.se and was registered 18 years ago.

Submitted URL: https://selflovebyanna.se

Effective URL:

https://www.selflovebyanna.se/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Newly registered but self-branded Swedish wellness/coaching site with no forms, no impersonation, and no Indicators of Compromise. No concrete malicious signal, only lack of reputation.

Risk Factors (1)
Domain registered ≤1 day ago and unranked in Cisco Umbrella — no established reputation yet
Safety Factors (5)
Self-branding matches the domain; no impersonation of a different brand
No credential, login, or payment forms present (0 forms, 0 password fields)
No Indicators of Compromise, YARA hits, IDS alerts, or Safe Browsing threats
No cross-origin credential exfiltration or suspicious JS behaviour
Reads as a genuine small-business wellness/coaching site with contact and pricing pages
Domain age information unavailable

Details

Page Title

Selflove by Anna

Scan Type

public

Domain Name Analysis

You're looking at domain 'selflovebyanna.se' on the Swedish country-code top-level domain (.se) with no subdomain. The core label 'selflovebyanna' covers 14 characters containing 5 vowels alongside 9 consonants. Breaking it apart gives 4 words: self, love, by, anna. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://selflovebyanna.se

Page Load Overview

2.06s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:2,209 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
45%
adult content
42%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
918.185.25.67Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
23.73.27.108Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
213.226.247.155Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.13.94Google · CDNUnited States
AS15169Google LLC
2143.204.181.14Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.125.172.46Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
23.79.173.192Aws · 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.
213.226.247.7Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3514--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B73D73655742C7F52B701E27C302BCEB5BD29A6E2478C40F0BE451957CEEC5AA3227A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3ArAEujcvcmBi9VF1Gr36ToqbBMEd9I/ae:QrAscmB2VF1O36TTBM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79492:KMAMuK1lDlAB+6AEjFhMCINQSmZQgGGITiRCYAEEkRkxBIOAxOBdbQiAtIFBSq4hUQHAwJZQGFCIGVBZyxASA7JBCzi0GBCG

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:c3ffcfcfcfffffff
Perceptual Hash:b139c6c6393931ce
Difference Hash:1e069a9a9806160e
Wavelet Hash:8080c3c3cfc3ffc3
Color Hash:#79d2c2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data