Security Scan Report: developgoodhabits.com

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

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Submitted: Dec 25, 2025, 10:14:03 AMCompleted: Dec 25, 2025, 10:15:18 AMpubliccompleted
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Summary

This website contacted 23 IPs in 3 countries across 25 domains to perform 71 HTTP transactions. The main domain is developgoodhabits.com and was registered NaN years ago.

Submitted URL: https://developgoodhabits.com

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

The Cisco Umbrella rank of the primary domain is #833,971 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Long-established domain
No malicious Indicators of Compromise
No suspicious forms or content
Domain age information unavailable

Details

Page Title

Develop Good Habits - Build a Great Life One Habit at a Time

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'developgoodhabits.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'developgoodhabits' stretches across 17 characters holding seven vowels versus 10 consonants. Segmentation suggests three words: develop, good, habits. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://developgoodhabits.com

Page Load Overview

14.24s
Total Load Time
332
HTTP Requests
51
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:5,200 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
adult content
26%
news/blog
20%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2413.33.52.91New York, New York, United States
AS16509AMAZON-02
1413.33.186.215New York, New York, United States
AS16509AMAZON-02
1418.244.18.38United Kingdom
14142.251.140.170United States
AS15169GOOGLE
1487.230.98.78Germany
AS61157PlusServer GmbH
14142.251.141.66United States
AS15169GOOGLE
1418.245.31.65United States
AS16509AMAZON-02
14142.250.186.131United States
AS15169GOOGLE
1437.19.194.81Unknown
14142.251.140.174United States
AS15169GOOGLE
33223--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C6244B31FC1446B72AAF82AE5013B3C8F2B64823CF0246FEF9E4E659B98D9D51556307

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FI7pA6zeQbbnTpPTUsf0X85gUnGOimU9sM9Cv2fiMUjN6GhvGkemIjpUfU7MAj5G:FI7pA6zeQbbT+4rjN6GhvGkzU7MAtxM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:224963:AipkFSYIJQKAQoSBriLBhAhsAWF2ATgBQSECAJIgqhOZBAMja+nhKWYiDZgIxIAAVyUiDzoAmhAESKpEEAIEQFQAg10FCggZ

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:df00ffc7c387c7df
Perceptual Hash:b8471a3cc7ba8ce1
Difference Hash:3060040e16363d36
Wavelet Hash:df00e7c383878787
Color Hash:#e06cb7

Other Hashes

Crop Resistant:3060040e16363d36

Scan History

Scan history not available

Unable to load historical scan data