Summary
This website contacted 6 IPs in 3 countries across 9 domains to perform 46 HTTP transactions. The main domain is accounts.logme.in and was registered NaN years ago.
Submitted URL: https://lmi-app25-14.logmein.com
Effective URL: https://accounts.logme.in/login.aspx?nocipsso=1&clusterid=24&returnurl=https%3A%2F%2Fsecure.logmein.com%2Ffederated%2Floginsso.aspx%3Freturnurl%3D%252Fcentral%252Fcentral.aspx%253Ferrorcode%253D6&headerframe=https%3A%2F%2Fsecure.logmein.com%2Ffederated%2Fresources%2Fheaderframe.aspx&productframe=https%3A%2F%2Fsecure.logmein.com%2Fcommon%2Fpages%2Fcls%2Flogin.aspx&lang=en-US®type=R&trackingproducttype=2&skin=logmein&useaccesscode=1&customRegUrl=https%3A%2F%2Fwww.logmein.com%2Foffers%2Fproduct-choiceRedirected
The Cisco Umbrella rank of the primary domain is #10,341 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 92%
Phishing page impersonating LogMeIn; high risk to users
Risk Factors
Details
Page Title
LogMeIn Accounts
Scan Type
public
Language
English
Category
technology software
(37%)Domain Information
Within the commercial generic top-level domain (.com), 'lmi-app25-14.logmein.com' is registered with subdomain 'lmi-app25-14'. The second-level label 'logmein' is 7 characters long containing three vowels alongside 4 consonants. Breaking it apart gives two words: log, mein. Median word length comes out to 3.5 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 |
|---|---|---|---|
| 11 | 23.201.251.53 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 8 | 216.58.206.40 | United States | |
| 8 | 74.125.71.154 | Netherlands | |
| 8 | 142.251.140.168 | Unknown | |
| 8 | 158.120.16.74 | Unknown | |
| 8 | 142.251.141.110 | Unknown | Unknown |
| 51 | 6 | - | - |
Detected Technologies3
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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