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Security Scan Report: gridandformula.co.uk

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/2ebbbd49-c3b2-4d44-8e31-118ca6b6d6d4Domain and IP registration (RDAP)/api/v1/rdap/2ebbbd49-c3b2-4d44-8e31-118ca6b6d6d4How often this domain was scanned/api/v1/domain/stats/gridandformula.co.ukScan history for this domain/api/v1/domain/history/gridandformula.co.uk?limit=15
This website contacted 9 IPs in 1 country across 7 domains to perform 22 HTTP transactions. The main domain is gridandformula.co.uk and was registered 5 months ago.

Submitted URL: https://gridandformula.co.uk/drivers/rafael-camara/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Independent FIA F2/F3 fan site profile of driver Rafael Câmara. No forms, no impersonation, no threat intel. Domain is recent and unranked, but content reads as legitimate.

Safety Factors (4)
Self-branding matches domain (Grid & Formula on gridandformula.co.uk).
No credential or payment collection.
Clear non-affiliation disclaimer for referenced motorsport brands.
Content is informational fan coverage, not a login or transaction page.
Domain age information unavailable

Details

Page Title

Rafael Câmara — F2 driver profile & career record

Scan Type

public

Domain Name Analysis

The domain name 'gridandformula.co.uk' uses the United Kingdom country-code top-level domain (.co.uk) with no subdomain. The core label 'gridandformula' covers 14 characters holding 5 vowels versus 9 consonants. It segments into three words: grid, and, formula. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

FE Grid & Formula FORMULA 2 FORMULA 3 DRIVERS GUIDES CIRCUITS FIA F2 FIA F3 EST HOME / DRIVERS / RAFAEL CAMARA Bsa RAFAEL CAMARA BRAZIL INVICTA RACING No. 1 Brazilian 2005 - Recife FIA Formula 2 I...

Page Load Overview

1.05s
Total Load Time
891 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-GB
Text Length:4,448 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: profile
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.180.236Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.97Google · CDNUnited States
AS15169Google LLC
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
2104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.94Google · CDNUnited States
AS15169Google LLC
2172.67.180.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.239.32.36Google · CDNUnited States
AS15169Google LLC
2104.21.59.163Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
229--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176A2B62392A10233882792A037DB735FB3F1A117C907895935AC4659CFC9DFAC9A778D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:VvHlgRf9AobQ9xcQAYIemTeQCXJckELIb/PVGiEBZzFAT:DEGPIem9kXL7Lapq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23277:Rw6QbkAAMBnKARSkgwsSiEgZQIyFCkKNLKMnAAAkQDZCUApb5VSBdIAF6CNRUWQrCRNAoAkMGY1eIM2IUCCilAM4CgaTJBCY

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:00017d2d07052121
Perceptual Hash:82c36d3c3ec3c3c3
Difference Hash:d587c9c9adadc3c3
Wavelet Hash:0153777717076371
Color Hash:N/A

Other Hashes

Crop Resistant:cbcbc4c0c0c0c8c6,d587c9cdadadc3c3

Scan History

Scan history not available

Unable to load historical scan data