Summary
This website contacted 8 IPs in 2 countries across 8 domains to perform 26 HTTP transactions. The main domain is auth.uber.com and was registered NaN years ago.
Submitted URL: https://helix-go-webview.uber.com
Effective URL: https://auth.uber.com/v2/?breeze_init_req_id=d3142f6e-7c49-4ac0-bd04-f2cc3c107b3a&breeze_local_zone=dca51&next_url=https%3A%2F%2Fhelix-go-webview.uber.com%2Fgo%2F&sm_flow_id=V5UK5RxO&state=EIs-GgDmIE3AOME3MMd-mwHSUspCmluUJmMfqQeHdZU%3DRedirected
The Cisco Umbrella rank of the primary domain is #4,156 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 96%
Site appears legitimate and matches official Uber authentication flow.
Safety Factors
Details
Bot Protection Detected
This website is protected by access_denied bot protection. Our scanner was challenged or blocked during access.
Page Title
Uber
Scan Type
public
Language
English
Category
technology software
(66%)Domain Information
Domain 'helix-go-webview.uber.com' uses the commercial generic top-level domain (.com) and includes subdomain 'helix-go-webview'. Count 4 characters in 'uber' containing 2 vowels alongside 2 consonants. Word splitting yields 1 word: uber. Median word length is four 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 |
|---|---|---|---|
| 8 | 69.48.218.1 | United States | AS209242Cloudflare London, LLC |
| 5 | 104.36.194.80 | Ashburn, Virginia, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 104.36.194.114 | Ashburn, Virginia, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 23.56.202.65 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 5 | 13.33.187.69 | Unknown | |
| 5 | 64.233.184.84 | United States | AS15169GOOGLE |
| 5 | 176.34.69.135 | Unknown | Unknown |
| 5 | 13.226.244.80 | United States | AS16509AMAZON-02 |
| 43 | 8 | - | - |
Detected Technologies8
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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