Security Scan Report: d1-eta.vercel.app

Submitted: Jul 18, 2026, 1:51:42 AMCompleted: Jul 18, 2026, 1:52:53 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is d1-eta.vercel.app and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site shows no malicious forms or indicators; low risk despite unknown subdomain age.

Risk Factors
Subdomain on a hosting platform (.vercel.app) with unknown creation date
Safety Factors
No forms collecting sensitive data
No external malicious links or resources
No suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Feirão Limpa Nome

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'd1-eta.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'd1-eta'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside 4 consonants. It segments into 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.87s
Total Load Time
5
HTTP Requests
3
Domains
0 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
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
3216.198.79.3United States
AS16509Amazon.com, Inc.
2104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
52--

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:b363cccccc313333
Difference Hash:4c4c4c4c4c4c4c4c
Wavelet Hash:24242020e7e7e7e7
Color Hash:#6b1f93

Other Hashes

Crop Resistant:4c4c4c4c4c4c4c4c

Scan History

Scan history not available

Unable to load historical scan data