Security Scan Report: m.uber.com

Redirected to: https://m.uber.com/go/home

Site favicon
Submitted: Nov 1, 2025, 10:16:09 AMCompleted: Nov 1, 2025, 10:19:27 AMpubliccompleted
Loading additional data...

Summary

This website contacted 34 IPs in 2 countries across 8 domains to perform 64 HTTP transactions. The main domain is m.uber.com and was registered NaN years ago.

Submitted URL: https://m.uber.com/go/

Effective URL: https://m.uber.com/go/homeRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Uber mobile site with no security concerns.

Safety Factors
Well‑established domain age
Official Uber subdomain
No malicious Indicators of Compromise
No suspicious forms or redirects
Domain age information unavailable

Details

Page Title

Request a Ride with Uber

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'm.uber.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'm'. Its registrable label 'uber' stretches across 4 characters holding 2 vowels versus two consonants. Splitting it apart reveals one word: uber. Median word length is four characters. 'uber' most often appears in Sinhala. It also appears in Bosnian and Czech contexts. Overall, 'm.uber.com' reads as Sinhala with single-word simplicity.

Screenshot

Security scan screenshot of https://m.uber.com/go/

Page Load Overview

8.22s
Total Load Time
64
HTTP Requests
8
Domains
1.6 MB
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:632 chars
Detector Agreement:75%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3813.33.216.89New York, New York, United States
AS16509AMAZON-02
3113.33.216.167New York, New York, United States
AS16509AMAZON-02
14104.36.194.66Ashburn, Virginia, United States
AS396982GOOGLE-CLOUD-PLATFORM
43.171.214.106United States
AS16509AMAZON-02
2107.178.240.159United States
AS396982GOOGLE-CLOUD-PLATFORM
213.33.187.60New York, New York, United States
AS16509AMAZON-02
13.171.214.63United States
AS16509AMAZON-02
169.48.216.121United States
AS396982GOOGLE-CLOUD-PLATFORM
13.171.214.110United States
AS16509AMAZON-02
1142.250.185.131United States
AS15169GOOGLE
6434--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142A3C3A76382267B9C0345D69E31BE3D58CC6C3E96B64894714E4E28AFC2DE00F725F5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:uR/lgyQwMeox0vpsIt9bpdncjayXk2G578ROiJAIUbgg53Thz+cxG:uR/lgy3ldncjay03Thz+cY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100320:GsI0QeCuAKgEqjBSoADq8BCpBlUhaVMIsOIAMRdELAIRPAR0AiEYgvESSBE1AAUcEAwKgQAADi/kuYDQTYXQCVQhlHUh1sEh

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data