Security Scan Report: lilafredrikablom.com

Submitted: Dec 20, 2025, 2:40:10 AMCompleted: Dec 20, 2025, 2:41:07 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 4 domains to perform 30 HTTP transactions. The main domain is lilafredrikablom.com and was registered NaN years ago.

Submitted URL: https://lilafredrikablom.com/futuristic-learning-laboratory

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

New, unranked site with only an email form; no strong malicious indicators.

Risk Factors
Very new domain (registered < 7 days ago)
Unranked domain with no Cisco Umbrella reputation
Safety Factors
No password or payment fields in the form
Form only collects an email address
No malicious Indicators of Compromise matches found
No brand impersonation or trademark misuse detected
Domain age information unavailable

Details

Page Title

The Futuristic Learning Laboratory - Lila Fredrika Blom

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(85%)

Domain Information

Within the commercial generic top-level domain (.com), 'lilafredrikablom.com' is registered. Its registrable label 'lilafredrikablom' stretches across 16 characters holding six vowels versus 10 consonants. Tokenizing the label suggests 4 words: lila, fredrik, a, blom. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lilafredrikablom.com/futuristic-learning-laboratory

Page Load Overview

6.53s
Total Load Time
30
HTTP Requests
4
Domains
48.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:4,196 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
85%
education
35%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.239.34.36United States
AS15169GOOGLE
5142.251.141.104United States
AS15169GOOGLE
563.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
576.76.21.123Walnut, California, United States
AS16509AMAZON-02
535.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
566.33.60.35United States
AS16509AMAZON-02
306--

Detected Technologies4

100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10073D71665E3102246A390A937F7E75E37B58107CA09CC34BECC47584F8AEA49BB379D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:phhdk8LckanpRP5ppsUnX992vvQ0+Dq1I7Bu8t7BU4M5ONHyIXz:pj4zTWUnX992O21Uu8t7BU4M5ONHyU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74694:MUSPot0AEKQAAYWGgpACCCCdGi1KGAQacQARAAAeA3ggEsiVJAEgTRwyMIRMBEYaVoiEGZiDMDqIDlerAQQIggNqDQUmJRAA

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:00060f1f1f3f7f0f
Perceptual Hash:8a1676d46da92da9
Difference Hash:3c7cfffffffffbff
Wavelet Hash:00060f1f1f3f7f07
Color Hash:#2d931f

Scan History

Scan history not available

Unable to load historical scan data