Security Scan Report: challenge-3-react.vercel.app

Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 3 domains to perform 20 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://challenge-3-react.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 65%

4
Risk Score

Student challenge project mimicking Porto Seguro's tow-truck chatbot on a free vercel.app subdomain. No forms, no credential or payment collection, no malware. Brand use without disclaimer warrants caution only.

Risk Factors (2)
Uses another company's brand ('Porto Seguro') on a domain it does not own, without a visible on-page disclaimer that it is a mock/student project
Hosted on a free platform subdomain of unknown creation date — content could have been published very recently
Safety Factors (4)
No forms of any kind — no credential harvesting, no payment capture, no login fields
No malware, obfuscated JavaScript, or credential-exfiltration behavior detected
Only external resources are Google Fonts
Page openly links its source repository and lists the project team, consistent with a disclosed student project
Domain age information unavailable

Details

Page Title

Porto Seguro

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'challenge-3-react.vercel.app' is registered, featuring subdomain 'challenge-3-react'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Breaking it apart gives two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://challenge-3-react.vercel.app/

Page Load Overview

0.79s
Total Load Time
689 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,047 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

healthcare medical97% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
97%
government public service
61%
technology software
54%
adult content
48%
documentation technical
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4142.251.14.95Google · CDNUnited States
AS15169Google LLC
4142.251.14.94Google · CDNUnited States
AS15169Google LLC
464.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
205--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C6B2D0389847EC67ED9B3D81513DAD3832CE825FC5A1CE7586E4CD240AC2D7A7B62D84

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:mdy4zALv8fphf7c8Jy+xStQDfFOQDfFzjEMhuc3mAUV2w/6pMDBAzAH:mBzALAphf7coxIQDfFOQDfFzjEMhuc36

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23885:pZOAQ8ANGwCCKoEAggAHEBECDAJIBOMySBIIoWjgARBjXajSNdA8aiyQAQA9AEEXyNIBAAkJIAsvIYcAC3YBRFQRgQABDCAg

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:1f0000cfffffffff
Perceptual Hash:b5088ee0fce39ec8
Difference Hash:ec33739e96cccc70
Wavelet Hash:000000c3c7ffffbf
Color Hash:#35d22d

Scan History

Scan history not available

Unable to load historical scan data