Security Scan Report: superlative-churros-af7f7c.netlify.app

Submitted: Sep 22, 2026, 1:45:33 PMCompleted: Sep 22, 2026, 1:46:19 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake 'Página Oficial Serasa' page on an unrelated netlify.app subdomain soliciting CPF data under a fake 'Limpa Nome' campaign - clear brand impersonation and data harvesting.

Risk Factors
Impersonation of a major financial/credit bureau (Serasa) on a domain it does not own
Collection of CPF (sensitive national ID) personal data
Urgency/scarcity pressure ('O FEIRÃO LIMPA NOME ACABA HOJE!')
Fake social-proof notification ('Ana quitou por R$ 376,91')
Unknown-age, unranked hosting-platform subdomain used for a supposedly 'official' brand page
Domain age information unavailable

Details

Page Title

Atendimento

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'superlative-churros-af7f7c.netlify.app' is registered, featuring subdomain 'superlative-churros-af7f7c'. The second-level label 'netlify' is 7 characters long with 2 vowels and 5 consonants. It segments into 3 words: net, li, fy. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://superlative-churros-af7f7c.netlify.app/

Page Load Overview

1.06s
Total Load Time
22 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:287 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical34% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
34%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
52--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D8275AB9A5304563C13E5243FB65B872236C103D209CD797FDC639CCF856D8A9A2B98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:V+Bg6fcqL8aERA+n4Q/7TgotSzsoBpea1AX76/o6HMBch0msRgu67CkbZdZ3ZAWP:2FXZqByU3k37c7I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18798:QIgIpE0GZA0QKAESmKaEgJBEDQ4wNOyomAqFoNAsvUV1FYJAVqCgEAJIHCAhICGoCwSYgIGpzClQUUiTDJgaMUBCICPNiQMr

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:00ffffffffffffff
Perceptual Hash:d52a556a556a556a
Difference Hash:0080000000000080
Wavelet Hash:00f3c0c0f0f0f4ff
Color Hash:#40931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data