Security Scan Report: d1-eta.vercel.app

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

Submitted URL: https://d1-eta.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 62%

5
Risk Score

Unranked vercel.app subdomain using the 'Feirão Limpa Nome' brand name with a broken backend and an obscure chat script, but no credential or payment form was found. Suspicious brand use; no data collection observed.

Risk Factors (4)
Use of a well-known event/brand name on a non-official hosting-platform subdomain
Domain unranked in Cisco Umbrella and on shared hosting where creation date is unknown
Third-party chat script served from an obscure, unrelated external domain
Page displays an error state and gives no verifiable contact or ownership information
Safety Factors (5)
No credential, login, or payment forms present (verified DOM counts all zero)
No threat-intelligence matches against the page or its resources
No YARA malware patterns or obfuscated JavaScript with a network sink
No cross-origin form submissions or credential exfiltration detected
Third-party script dependency (Tailwind CDN) is a mainstream, ranked host
Domain age information unavailable

Details

Page Title

Feirão Limpa Nome

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'd1-eta.vercel.app' is registered with subdomain 'd1-eta'. The core label 'vercel' covers 6 characters split between 2 vowels and four consonants. Segmentation suggests 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://d1-eta.vercel.app/

Page Load Overview

0.39s
Total Load Time
125 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:367 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
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1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
55--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C502C6296660046BBE5384E7FDD0B658740572C2EB2ECAFAF5CE4500BBDB5A718D7308

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:5r6h/7J+Oe/AT37J+Oe/ATg9SOt8sYferBebdtuy9efsna7riJidiJJimFUiuRYp:5r6h/7JXeS7JXex/27xzwm90L4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8237:AjOSogMijYBmSJGJLL0AUI4ARICmA60FvACiSAACYICkBIM9vRmgAgBwJcGsNCFIRtAAKzTYASAlLOUFYJoBwxAgkVpwQIBE

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:e7e7e7e7e7e7e7e7
Perceptual Hash:b333c6cccc333133
Difference Hash:4c4c4c4c4c4c4c4c
Wavelet Hash:0707272704040000
Color Hash:#d22d9b

Other Hashes

Crop Resistant:4c4c4c4c4c4c4c4c

Scan History

Scan history not available

Unable to load historical scan data