Security Scan Report: ellaschneider.se

Redirected to:
https://www.ellaschneider.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 9 domains to perform 66 HTTP transactions. The main domain is ellaschneider.se.

Submitted URL: https://ellaschneider.se

Effective URL:
https://www.ellaschneider.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

A personal photography portfolio on Squarespace with matching self-branding, no forms, and no threat-intelligence or malware detections. Unknown domain age is neutral here. No risk factors found.

Safety Factors (5)
Domain-consistent self-branding (no impersonation of another entity)
No forms of any kind, including login or payment fields
No Indicators of Compromise, hunting rule, or kit-roster detections
Content matches the domain owner's stated purpose (photography portfolio: People, Landscape)
Only informational network IDS alert (generic PHP webshell heuristic), not corroborated by any content or threat-intel evidence
Domain age information unavailable

Details

Page Title

Ella Schneider Photography

Scan Type

public

Domain Name Analysis

The domain name 'ellaschneider.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'ellaschneider' is 13 characters long with 5 vowels and eight consonants. Tokenizing the label suggests two words: ella, schneider. Median word length comes out to 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Ella Schneider PHotography People Landscape Mood Conner 3 People

Page Load Overview

1.24s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:629 chars
Detector Agreement:50%

All Detected Languages

🇺🇸en(55%)🇸🇪sv(23%)🇫🇮fi(12%)🇩🇪de(11%)

Website Classification

Primary Category

social media network79% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
79%
adult content
25%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33146.75.120.238Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
21146.75.120.237Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
7198.49.23.145Squarespace · CLOUDUnited States
AS53831Squarespace, Inc.
723.2.13.98Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7184.24.77.169Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7198.185.159.144Squarespace · CLOUDNew York, New York, United States
AS53831Squarespace, Inc.
723.2.13.59Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2198.185.159.145Squarespace · CLOUDUnited States
AS53831Squarespace, Inc.
234.160.236.44Google · CDNKansas City, Missouri, United States
AS396982Google LLC
669--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11574F9612AA424B9415BD1F9E04A776DCE83F23BDE818EC0FA6C85581FC6ED32C53359

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lzjtmVwcQ2rks/LZCA4igwfUvmdCeEgxAVQfXFonvw6ZZSGC6TYgIY+kPfv8JERQ:J0D6ZlTYgZ+kPf/7E5u/Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:352050:hCgwIU9BFXaACUWBQCIEBifRgqkJTAoDIgIgQIgCIAYKAEGgAciUQ4JCBhgAJcACAoBBTxhwWgiAQlKfggDoABIKAoFECFhH

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:fffffff23020030d
Perceptual Hash:aff09b0f6407da21
Difference Hash:62464066676b6f59
Wavelet Hash:fffffff020200104
Color Hash:07e00008000

Scan History

Scan history not available

Unable to load historical scan data