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: 55%

4
Risk Score

Broken Vercel-hosted page using a known Brazilian debt-campaign name with no disclosed affiliation, but zero forms and no malware, phishing or threat-intel hits; suspicious framing only, no data collection observed.

Risk Factors (3)
Deceptive use of a well-known Brazilian debt-negotiation campaign name on an unrelated, unranked hosting subdomain
No affiliation or organizational identification disclosed for a page offering financial-guidance services
Broken deployment (502 Bad Gateway, unresolved third-party chat host) typical of disposable/parked lure pages
Safety Factors (4)
No credential, password or payment forms present (verified from parsed DOM)
No Indicators of Compromise, no YARA malware patterns, no known malicious kit in roster
No JavaScript credential exfiltration or behavioral signals
Page text states it does not collect sensitive data
Domain age information unavailable

Details

Page Title

Feirão Limpa Nome

Scan Type

public

Domain Name Analysis

The domain 'd1-eta.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'd1-eta'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. Breaking it apart gives two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.61s
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
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.3Aws · 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:#931f7e

Other Hashes

Crop Resistant:4c4c4c4c4c4c4c4c

Scan History

Scan history not available

Unable to load historical scan data