Security Scan Report: huckleberrycare.com

Submitted: Oct 30, 2025, 4:00:19 PMCompleted: Oct 30, 2025, 4:01:46 PMpubliccompleted
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Summary

This website contacted 92 IPs in 4 countries across 29 domains to perform 112 HTTP transactions. The main domain is huckleberrycare.com and was registered NaN years ago.

Submitted URL: https://huckleberrycare.com/blog/is-my-child-a-picky-eater

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established domain with long registration history
No credential or payment collection forms
Content appears to be a standard informational blog
Domain age information unavailable

Details

Page Title

Is my child a picky eater? | Huckleberry

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

other

(59%)

Domain Information

Within the commercial generic top-level domain (.com), 'huckleberrycare.com' is registered and has no subdomain. Count 15 characters in 'huckleberrycare' containing five vowels alongside ten consonants. Tokenizing the label suggests 2 words: huckleberry, care. The median word length lands at 7.5 characters. 'huckleberry' is most common in Romanian usage. It also appears in English and Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of https://huckleberrycare.com/blog/is-my-child-a-picky-eater

Page Load Overview

31.60s
Total Load Time
112
HTTP Requests
29
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
Text Length:10,599 chars
Detector Agreement:100%

Website Classification

Primary Category

other59% confidence
Type: static
Method: ml+structural

All Detected Categories

other
59%
legitimate website
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
152.16.243.81Dublin, Leinster, Ireland
AS16509AMAZON-02
113.33.187.16New York, New York, United States
AS16509AMAZON-02
134.13.72.26Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
152.17.66.186Dublin, Leinster, Ireland
AS16509AMAZON-02
152.222.136.14United States
AS16509AMAZON-02
1157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1142.250.185.132United States
AS15169GOOGLE
118.173.205.24United States
AS16509AMAZON-02
134.215.14.192Boardman, Oregon, United States
AS16509AMAZON-02
11292--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BA8329B2D1C8763E021343DDF371B7A8E22794ADD78918ECE2F8499567C3DF0A42A495

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:H1CQ1Zun/ttucttfqHBV5x4hASWL2jxL2jS2qm93:VCuI/nybpFL2jxL2jP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84627:MhnBAiKHQNYtRKCKQIsI2JAH0AFZACTwoAVHXKhACDQkMBAF+SV7AAKEgKErSIgswISUHIBBtuQwkEBETgEuS4IAN4AeUCAh

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:ffffffff97130307
Perceptual Hash:bec8270ef1192ed1
Difference Hash:05a271102f65654d
Wavelet Hash:00ffffff87010103
Color Hash:#86622d

Scan History

Scan history not available

Unable to load historical scan data