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Security Scan Report: www.charlottecgill.co.uk

Redirected to: https://www.charlottecgill.co.uk/cdn-cgi/rum?

Submitted: Jan 2, 2026, 8:33:52 PMCompleted: Jan 2, 2026, 8:42:28 PMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 5 domains to perform 151 HTTP transactions. The main domain is charlottecgill.co.uk and was registered NaN years ago.

Submitted URL: https://www.charlottecgill.co.uk/p/how-olivia-colman-became-the-new

Effective URL: https://www.charlottecgill.co.uk/cdn-cgi/rum?Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age of 784 days (well established)
No malicious Indicators of Compromise matches found
No password or payment fields in forms
No noindex meta tags indicating hidden content
Unranked status not combined with any strong suspicious indicators
Domain age information unavailable

Details

Page Title

How Olivia Colman became the new Emma Thompson

Scan Type

public

Domain Information

Domain 'www.charlottecgill.co.uk' uses the United Kingdom country-code top-level domain (.co.uk); it also runs on subdomain 'www'. The core label 'charlottecgill' covers 14 characters split between four vowels and 10 consonants. Splitting it apart reveals 3 words: charlotte, c, gill. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.charlottecgill.co.uk/p/how-olivia-colman-became-the-new

Page Load Overview

122.07s
Total Load Time
151
HTTP Requests
5
Domains
N/A
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25172.64.151.232United States
AS13335CLOUDFLARENET
18142.250.185.99United States
AS15169GOOGLE
1854.192.35.104United States
AS16509AMAZON-02
18151.101.194.217United States
AS54113FASTLY
18104.16.79.73United States
AS13335CLOUDFLARENET
1854.192.35.100United States
AS16509AMAZON-02
18151.101.66.217United States
AS54113FASTLY
18104.18.36.24United States
AS13335CLOUDFLARENET
1518--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11964F9A28861C41F854658D9A2FEFF1D70CF826B56A5CAF4BCEC897003C6C772D17A61

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DiDBshahzxhnREfvBFD7UsdstxI881GJoXeV+R:DiDBshahzxhnREfvBZSSf1VX7R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:318480:ACUIBLQgQAV0ThyEEGgsBQIgDIJiCQDCGAkkQ8FCUUwlDaYQxzQGBukCFBGCUK0AP+bE0CEICMBDNglIQIAO6J4aCAUQUA4E

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:3fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#bf2dd2

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data