Security Scan Report: formulapedia.com

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Submitted: Jun 27, 2026, 12:01:52 PMCompleted: Jun 27, 2026, 12:03:01 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 8 HTTP transactions. The main domain is formulapedia.com and was registered NaN years ago.

Submitted URL: https://formulapedia.com/f1-schedule/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no phishing, malware, or credential‑harvesting indicators.

Safety Factors
Established domain age
Self‑branding
Article content (og:type=article) with no impersonation
No malicious network or script activity
Domain age information unavailable

Details

Page Title

F1 Schedule 2024: Official calendar of all Grand Prix Races - Formulapedia

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(90%)

Domain Information

You're looking at domain 'formulapedia.com' on the commercial generic top-level domain (.com) without a subdomain. Count 12 characters in 'formulapedia' containing 6 vowels alongside six consonants. Tokenizing the label suggests two words: formula, pedia. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://formulapedia.com/f1-schedule/

Page Load Overview

1.49s
Total Load Time
24
HTTP Requests
2
Domains
1.1 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-US
Text Length:7,538 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog90% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
90%
corporate
70%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
12185.132.127.10Stockholm, Stockholm County, Sweden
AS206170Yelles AB
242--

Detected Technologies14

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13F543A7339013239223BC1DF62D6AE4F3025E977D50794FCF5A2922A83DADE23661746

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:8i6c2YVgMWV8XzF6Z44+j9DamZ2bwcfiMSX1T6LnCxfb29YXFI8E7o+JUzGJ/uJW:822KgMWV8XzF6Z44+jlam71TeCtv7i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:293564:GAgc2BgsSVXkypBQJKqpCDwz5lEQAhIMSMByjCiQBUAYQQBAKAzUAQAkCAI1kQAYJyHCQGhG8CgUOaAReJKqypVgKcgcUwF4

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:003f2fffffffffff
Perceptual Hash:83033f7c7c7c6823
Difference Hash:90d8d8c000000000
Wavelet Hash:000707a703030303
Color Hash:#78623a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data