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://control.rsc-app23-05.logmeinrescue.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=cip&useaccesscode=1&customRegUrl=https%3A%2F%2Fsecure.logmein.com%2FPreRegistration%2FProductChoice.aspxRedirected
The Cisco Umbrella rank of the primary domain is #26,762 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 75%
The site appears to be a legitimate LogMeIn login flow; no clear malicious indicators despite high JS obfuscation and many redirects.
Risk Factors
Safety Factors
Details
Page Title
LogMeIn Accounts
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain 'control.rsc-app23-05.logmeinrescue.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'control.rsc-app23-05'. The registrable portion 'logmeinrescue' spans 13 characters holding six vowels versus 7 consonants. It segments into 3 words: log, mein, rescue. Average segment length settles at 4 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 |
|---|---|---|---|
| 52 | 158.120.18.93 | Slough, England, United Kingdom | AS31898Oracle Corporation |
| 52 | 1 | - | - |
Detected Technologies5
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
Unable to load historical scan data