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Security Scan Report: app.meetchatty.com

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Submitted: Dec 4, 2025, 10:40:35 PMCompleted: Dec 4, 2025, 10:41:59 PMpubliccompleted
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Summary

This website contacted 61 IPs in 4 countries across 12 domains to perform 40 HTTP transactions. The main domain is app.meetchatty.com and was registered NaN years ago.

Submitted URL: https://app.meetchatty.com/

The Cisco Umbrella rank of the primary domain is #82,472 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No suspicious indicators; appears to be a legitimate login page.

Safety Factors
Established domain age
Low ranking but within Cisco Umbrella top 100k
No malicious Indicators of Compromise
Login form aligns with expected service functionality
Domain age information unavailable

Details

Page Title

Chatty Login | AI sales assistant dashboard for Shopify

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce

(38%)

Domain Information

You're looking at domain 'app.meetchatty.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'app'. The registrable portion 'meetchatty' spans 10 characters with 3 vowels and 7 consonants. Tokenizing the label suggests two words: meet, chatty. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.meetchatty.com/

Page Load Overview

0.43s
Total Load Time
40
HTTP Requests
12
Domains
3.4 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:350 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20199.36.158.100United States
AS54113FASTLY
5104.26.14.53United States
AS13335CLOUDFLARENET
452.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
25.9.99.73Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1216.58.206.42United States
AS15169GOOGLE
120.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
123.227.39.200Ottawa, Ontario, Canada
AS13335CLOUDFLARENET
113.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1216.239.34.36United States
AS15169GOOGLE
1142.250.184.200United States
AS15169GOOGLE
4061--

Detected Technologies5

X-UA-Compatible
100%
Shopify
40%
HTTP/3
40%
HSTS
40%
Firebase
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0220AE740A141314003BBDA66EB730A2DAA146BDB05DC54B76C43C34FE9CEA094BB9F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:OONW++XwzJyvJquqHvV7ok0mR+x/QtwyG5rGmj1KqbzcEGT7zB3PTvl7VVjh/+:OO4QuqH5tR+x/QWySKQzcpT7zxPFvd2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10824:CAiWwIoQYpQgkAZRjSAUCgQQQEDQJi4IsyYg4SIEsjgiABBBxACCFYgCgQxAgkjkwAgAY8AGRCIQZsAVqcahTAQMIhJUCDSK

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:3f3f1f3f3f3f3f1f
Perceptual Hash:8fff1ee00e146c1c
Difference Hash:68686666e6e6e86c
Wavelet Hash:1f1f131313131f1f
Color Hash:#98e06c

Other Hashes

Crop Resistant:68686666e6e6e86c,0000000c0e1e1e1f,7f3f0f0f020080c0,30369eeefe7f4706

Scan History

Scan history not available

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