Security Scan Report: uber-clone-webapp-ten.vercel.app

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Submitted: Jul 2, 2026, 12:45:47 PMCompleted: Jul 2, 2026, 12:50:12 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is uber-clone-webapp-ten.vercel.app and was registered NaN years ago.

Submitted URL: https://uber-clone-webapp-ten.vercel.app/signup

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

The site impersonates Uber, collects credentials, and is flagged by Safe Browsing as a phishing page – treat as high‑risk phishing.

Risk Factors
Phishing indicator from Safe Browsing
Credential harvesting on an impersonated brand
Unknown creation date of the subdomain
Use of a popular brand name without authorization
Domain age information unavailable

Details

Page Title

Uber

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(42%)

Domain Information

You're looking at domain 'uber-clone-webapp-ten.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'uber-clone-webapp-ten'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uber-clone-webapp-ten.vercel.app/signup

Page Load Overview

8.18s
Total Load Time
6
HTTP Requests
3
Domains
1 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:209 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software42% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.3United States
AS16509Amazon.com, Inc.
61--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D416539209256FF128B8CE8F1E8EF25E0CFD70BC623D89866AD41E93BD5D805F15A50

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nyIG7Se8WCjnDtQA4CQEJeAZP3VXiMabx9rbJ2p3gtWSbUkI2:nyI0Se8WCjDtQA4PEJepMYkxSbUkR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2247:AAAAwQQMDAAAAAgSEIMCAgAGAAAAAAAAAkEQABAACCCBEQBAACCIAAAABEAAAiAAAAAAACOAAAAgAIIJGBgBAgAQJCACBQAA

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:ff7f7f00ffffffff
Perceptual Hash:8a0094d57f7b95d1
Difference Hash:80c5c25109000060
Wavelet Hash:1c000000ffffff1f
Color Hash:#b7c587

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data