Security Scan Report: honeygrow.com

Redirected to: https://www.honeygrow.com/

Submitted: Mar 22, 2026, 4:36:31 AMCompleted: Mar 22, 2026, 4:38:14 AMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 22 domains to perform 9 HTTP transactions. The main domain is honeygrow.com and was registered NaN years ago.

Submitted URL: https://honeygrow.com

Effective URL: https://www.honeygrow.com/Redirected

The Cisco Umbrella rank of the primary domain is #440,290 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain with long registration history
No malicious Indicators of Compromise detected
No credential‑harvesting or payment forms
Standard redirects from honeygrow.com to www.honeygrow.com only
Meta tags align with the actual brand (honeygrow)
Domain age information unavailable

Details

Page Title

honeygrow | Honest Eating + Growing Local

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Within the commercial generic top-level domain (.com), 'honeygrow.com' is registered with no subdomain. The core label 'honeygrow' covers 9 characters split between 3 vowels and six consonants. It segments into 2 words: honey, grow. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://honeygrow.com

Page Load Overview

6.96s
Total Load Time
130
HTTP Requests
34
Domains
5.9 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:1,710 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11146.75.121.75Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
7142.250.201.74United States
AS15169Google LLC
7184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
734.36.16.57Kansas City, Missouri, United States
AS396982Google LLC
7142.251.141.72United States
AS15169Google LLC
7157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7104.17.24.14United States
AS13335Cloudflare, Inc.
7142.250.186.67United StatesUnknown
7151.101.1.75United States
AS54113Fastly, Inc.
734.8.170.91Kansas City, Missouri, United States
AS396982Google LLC
13018--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA748D7BE2116C2797D679B57BE41A046EB6B2CFD404898EF85C864227FDCB9480732C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:6HKD5J8uAFQmXwtujaJA3zvKj9D5ttGZaf9LDxCQBN:D0KewtujVjSBFNNtCoN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:353098:EQFIATJACBIqO1WCTMSwORgIEECgVQFAA0RCyAg5oBoN8CgAIEJYAkDCWOAQCgWVGIwALtVFySpEgAJlhhAMGnaoEJGAIGGQ

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:ff00000000ffffff
Perceptual Hash:a25c81fc03f583fc
Difference Hash:c0010101314d0ccd
Wavelet Hash:ff00000000ffffff
Color Hash:#76783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data