Security Scan Report: auth.uber.com

Redirected to: https://auth.uber.com/v2/

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Submitted: Dec 2, 2025, 11:58:44 PMCompleted: Dec 3, 2025, 12:00:21 AMpubliccompleted
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Summary

This website contacted 23 IPs in 3 countries across 7 domains to perform 43 HTTP transactions. The main domain is auth.uber.com and was registered NaN years ago.

Submitted URL: https://auth.uber.com/

Effective URL: https://auth.uber.com/v2/Redirected

The Cisco Umbrella rank of the primary domain is #4,156 of the top 1 million websitesTop 10K Site

AI Security Verdict

AI analysis unavailable for this scan

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

(80% confidence)

Category

technology software

(66%)

Domain Information

Domain 'auth.uber.com' uses the commercial generic top-level domain (.com) with subdomain 'auth'. The second-level label 'uber' is 4 characters long holding 2 vowels versus 2 consonants. Segmentation suggests 1 word: uber. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://auth.uber.com/

Page Load Overview

0.96s
Total Load Time
43
HTTP Requests
7
Domains
294 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:204 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
66%
social media network
64%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2213.226.244.5United States
AS16509AMAZON-02
2169.48.218.2United States
AS209242Cloudflare London, LLC
1369.48.218.1United States
AS209242Cloudflare London, LLC
213.33.187.60New York, New York, United States
AS16509AMAZON-02
264.233.167.84United States
AS15169GOOGLE
113.226.244.64United States
AS16509AMAZON-02
123.56.202.65Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
113.226.244.103United States
AS16509AMAZON-02
1104.36.194.7Ashburn, Virginia, United States
AS396982GOOGLE-CLOUD-PLATFORM
135.190.2.11United States
AS396982GOOGLE-CLOUD-PLATFORM
4323--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14254558AA39376B7EC1681E56D31AD3D08DC6C7C6AB90C98414A0F1DED909F12FB16F1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:JdoxaApvOHcocXOgz3s3Sxo2H2VSFiLSbnMrprC3mZ4ZuAf/pjJSXRd+V9UN5Zx:JdoxaApvOHcocXOgz3s3Sxo2H2VSFiL5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:293710:QMNu4ojKMIApl0hKAimCABkFBEIChJEHFSUIySMUAABZCsRGE6yCpIQgC2GSYqeIGAQ2QD1AIoEO3YAJ1WEAcyQREABaAAoi

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

Average Hash:00dfffc3c7ffffff
Perceptual Hash:f42a4a4a20774bdf
Difference Hash:a1961096960e0e0c
Wavelet Hash:00c2c7c3c3c3e7e7
Color Hash:#3ad22d

Scan History

Scan history not available

Unable to load historical scan data