Security Scan Report: rodizio-whatsapp.vercel.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://rodizio-whatsapp.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 60%

3
Risk Score

Bare Vercel page that only forwards visitors to WhatsApp. No forms, no credential or payment capture, no malware or threat-intel hits. Unknown-age subdomain with undisclosed destination — low but non-zero risk.

Risk Factors (4)
Free shared-hosting subdomain on vercel.app with unknown, potentially very recent creation date
Unranked domain with no reputation and no explanation of who operates the redirect
Opaque single-button redirect page — the destination link/group is not disclosed in the page content
Uses the WhatsApp name/logo reference without authorization or disclosure
Safety Factors (4)
No forms, no password fields, no payment fields — no data is harvested on this page
No Indicators of Compromise, no malware/YARA hits, no obfuscated JavaScript, no cross-origin credential flows
Not impersonating a different brand's login or account interface; it merely links out to WhatsApp
No illegal goods, gambling, pharmaceutical or investment content present
Domain age information unavailable

Details

Page Title

WhatsApp

Scan Type

public

Domain Name Analysis

Domain 'rodizio-whatsapp.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'rodizio-whatsapp'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rodizio-whatsapp.vercel.app/

Page Load Overview

0.97s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:79 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network98% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
98%
technology software
63%
news media journalism
50%
healthcare medical
42%
government public service
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130A1B73B7646323EAB23927C236BA25577189003544BDE34BDCDA1498FD02DDF1AA6C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:sCF5fW90jxNkpgWD99WkOP6l+IleCcgxp12A6PrIvScDXob2inghaIEE:PF5W90j9WD99Wx6l+ScgPY5cZkD6aIL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4737:I0AgQEACQBhAoCIgwAkACYAMAgDEBSDyACQIlCQCCMEgCBAVHEAKqogCIAAh7QA2CAQgAAFQAEECQBKABYCggABFICATAAgg

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:ffffffe7e7ffffff
Perceptual Hash:b399cc6633999926
Difference Hash:0000204c4d300c00
Wavelet Hash:0f0f0303c3d3c3c3
Color Hash:#d279cc

Other Hashes

Crop Resistant:0000204c4d300c00

Scan History

Scan history not available

Unable to load historical scan data