Summary
This website contacted 7 IPs in 2 countries across 5 domains to perform 31 HTTP transactions. The main domain is accounts.intuit.com and was registered NaN years ago.
Submitted URL: https://paychecks.intuit.com/
Effective URL: https://accounts.intuit.com/app/sign-in?app_group=Workforce&asset_alias=Intuit.smallbusiness.vmp.employeewidgets&redirect_uri=https%3A%2F%2Fpaychecks.intuit.com%2Fapp%2Fpayroll-employee-portal-ui%2Fportal%2Fpaychecks&single_sign_on=false&appfabric=true&iux_legacy_redirect=trueRedirected
The Cisco Umbrella rank of the primary domain is #4,139 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate Intuit login page with no detected security concerns.
Safety Factors
Details
Page Title
Intuit Accounts - Sign In
Scan Type
public
Language
English
Category
technology software
(83%)Domain Information
Within the commercial generic top-level domain (.com), 'paychecks.intuit.com' is registered; it also runs on subdomain 'paychecks'. The second-level label 'intuit' is 6 characters long containing 3 vowels alongside 3 consonants. Breaking it apart gives 1 word: intuit. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 21 | 18.172.112.29 | United States | AS16509AMAZON-02 |
| 18 | 23.215.21.144 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 18 | 3.130.109.30 | Germany | |
| 18 | 104.102.61.67 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 18 | 18.172.112.68 | United States | AS16509AMAZON-02 |
| 18 | 3.147.131.213 | Germany | Unknown |
| 18 | 13.58.29.238 | United States | AS16509AMAZON-02 |
| 129 | 7 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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