Summary
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is accounts.logme.in and was registered NaN years ago.
Submitted URL: https://rsc-app26-04.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
Confirmed Scam
Confidence: 85%
High‑risk phishing site impersonating LogMeIn; do not enter credentials.
Risk Factors
Details
Page Title
rsc-app26-04.logmein.com
Scan Type
public
Language
English
Category
technology software
(35%)Domain Information
You're looking at domain 'rsc-app26-04.logmein.com' on the commercial generic top-level domain (.com) and includes subdomain 'rsc-app26-04'. The core label 'logmein' covers 7 characters with 3 vowels and four consonants. Segmentation suggests 2 words: log, mein. Average segment length settles at 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 |
|---|---|---|---|
| 50 | 158.120.24.202 | Ashburn, Virginia, United States | AS31898Oracle Corporation |
| 50 | 1 | - | - |
Detected Technologies6
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
Unable to load historical scan data