Summary
This website contacted 3 IPs in 2 countries across 4 domains to perform 37 HTTP transactions. The main domain is identity.goto.com and was registered NaN years ago.
Submitted URL: https://admin.logmeininc.com
Effective URL: https://identity.goto.com/login?service=https%3A%2F%2Fidentity.goto.com%2Foauth%2Fapprove%3Fclient_id%3D63d21f02-2131-44a4-8179-88e551248ea9%26response_type%3Dcode%26redirect_uri%3Dhttps%253A%252F%252Fadmin.logmeininc.com%252Fportal%252F%26state%3Dj8zH0ReV5H4GuwqRDEitqDyxNdctjg32%26code_challenge%3DWhqWxLJtwMrWbxAKG4Xwfpef_Z2tO26fRFWyGAgxWzU%26code_challenge_method%3DS256%26login_theme%3Dcitrix&theme=citrixRedirected
The Cisco Umbrella rank of the primary domain is #50,545 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The site is a legitimate LogMeIn/GoTo login page with no malicious indicators.
Safety Factors
Details
Page Title
Secure Sign In
Scan Type
public
Language
English
Category
social media network
(56%)Domain Information
You're looking at domain 'admin.logmeininc.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'admin'. The second-level label 'logmeininc' is 10 characters long split between four vowels and six consonants. Breaking it apart gives 3 words: log, mein, inc. Average segment length settles at three characters. 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 |
|---|---|---|---|
| 7 | 18.245.46.70 | United States | AS16509Amazon.com, Inc. |
| 5 | 13.33.187.11 | New York, New York, United States | AS16509Amazon.com, Inc. |
| 5 | 18.156.153.134 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 17 | 3 | - | - |
Detected Technologies6
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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