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-app25-01.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: 80%
The page mimics LogMeIn on a different domain and forwards credentials via a cross‑origin form, indicating a high‑risk phishing attempt.
Risk Factors
Safety Factors
Details
Page Title
LogMeIn Accounts
Scan Type
public
Language
English
Category
corporate business
(32%)Domain Information
Domain 'control.rsc-app25-01.logmeinrescue.com' uses the commercial generic top-level domain (.com) and includes subdomain 'control.rsc-app25-01'. The registrable portion 'logmeinrescue' spans 13 characters split between six vowels and seven consonants. Tokenizing the label suggests three words: log, mein, rescue. Expect four characters per word on average. 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 | 158.120.29.138 | Phoenix, Arizona, United States | 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