Summary
This website contacted 1 IP in 1 country across 1 domain to perform 194 HTTP transactions. The main domain is deloitte-us.auth.securid.com and was registered NaN years ago.
Submitted URL: https://deloitte-us.auth.securid.com
Effective URL: https://deloitte-us.auth.securid.com/sso/samlRedirected
The Cisco Umbrella rank of the primary domain is #43,289 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
The site appears to be a legitimate RSA SecurID authentication portal for Deloitte, with minimal risk.
Risk Factors
Safety Factors
Details
Page Title
RSA SecurID
Scan Type
public
Language
English
Category
technology software
(56%)Domain Information
Domain 'deloitte-us.auth.securid.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'deloitte-us.auth'. Count 7 characters in 'securid' containing 3 vowels alongside 4 consonants. It segments into 3 words: s, ecu, rid. Median word length comes out to 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 |
|---|---|---|---|
| 196 | 52.188.41.46 | Arlington, Virginia, United States | AS8075Microsoft Corporation |
| 196 | 1 | - | - |
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
Unable to load historical scan data