Security Scan Report: royalforesteppingforest.com

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Submitted: Sep 18, 2026, 3:10:56 PMCompleted: Sep 18, 2026, 3:11:59 PMpubliccompleted

This website contacted 18 IPs in 4 countries across 20 domains to perform 107 HTTP transactions. The main domain is royalforesteppingforest.com and was registered 16 years ago.

Submitted URL: https://royalforesteppingforest.com/blog/negroni-week/?utm_source=Atreemo&utm_medium=email&utm_campaign=4813-HWI%20Negroni%20Week

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate pub/restaurant blog for The Royal Forest, Epping Forest. Self-branded domain, established age, no credential/payment forms, and no threat-intel or malware signals.

Safety Factors (5)
Physical address and phone number visible: 4 Ranger's Rd, London E4 7QH, 020 8149 7879.
Reservation email uses the associated Heartwood Inns domain: [email protected].
Content is ordinary restaurant/event marketing for a pub in Epping Forest.
Booking form collects standard reservation details (time, name, email, telephone) and newsletter consent.
No cross-origin credential exfiltration or suspicious JavaScript behavior detected.
Domain age information unavailable

Details

Page Title

Three new Negronis for Negroni Week at The Royal Forest - The Royal Forest

Scan Type

public

Domain Name Analysis

The domain name 'royalforesteppingforest.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'royalforesteppingforest' stretches across 23 characters split between eight vowels and 15 consonants. Segmentation suggests four words: royal, forest, epping, forest. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://royalforesteppingforest.com/blog/negroni-week/?utm_source=Atreemo&utm_medium=email&utm_campaign=4813-HWI%20Negroni%20Week

Page Load Overview

5.69s
Total Load Time
3.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:16,056 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
technology software
45%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2276.76.21.21Aws · CLOUDWalnut, California, United States
AS16509Amazon.com, Inc.
5142.251.20.97Google · CDNUnited States
AS15169Google LLC
523.50.131.159Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
518.135.7.113Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
5142.251.110.157Google · CDNUnited States
AS15169Google LLC
523.45.103.56Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
5157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5142.251.156.119Google · CDNUnited States
AS15169Google LLC
584.18.217.210United Kingdom
AS29636Team Blue Carrier Limited
5216.239.34.36Google · CDNUnited States
AS15169Google LLC
10718--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1049332DC76069E0C6E2485ECB46E5DD8899C1B83B05BCCA4AEC7AD234C7C05D5B7E9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:IqQhkUcVhmfoMKLN6hiJveREscVhmfoMKL+BbD8DQ43SvG/5kanHPBRwMfduN9O1:xXpEB4lNFwMluC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:181857:+QCASFUsHOVICKIBICCpMqBAgAA38+ZpDjkwAYYoaA0GIQZlD2aaOAMUggBAGEGZEAYQQigEFuyIAJUqCBBLmRFEB0BQUmVA

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:f3ffcfc3cfcff7f7
Perceptual Hash:b879c74d386c3839
Difference Hash:3362979f9f976727
Wavelet Hash:c0fe83830303f3f3
Color Hash:#a179d2

Scan History

Scan history not available

Unable to load historical scan data