Security Scan Report: fluffy-lollipop-732e07.netlify.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://fluffy-lollipop-732e07.netlify.app/

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake 'Official Serasa' page on a disposable netlify.app subdomain, using the real Feirão Limpa Nome branding to harvest users' CPF. Clear brand impersonation — do not enter personal data.

Risk Factors (4)
Impersonation of Serasa, a major Brazilian credit bureau, on a non-official domain
Request for CPF (national ID/tax number) — personal data harvesting
Artificial urgency and fabricated testimonial to pressure victims
Disposable/hosting-platform subdomain with no reputation and no legitimate brand ownership
Domain age information unavailable

Details

Page Title

Atendimento

Scan Type

public

Domain Name Analysis

The domain name 'fluffy-lollipop-732e07.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'fluffy-lollipop-732e07'. Count 7 characters in 'netlify' split between 2 vowels and 5 consonants. Breaking it apart gives 3 words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fluffy-lollipop-732e07.netlify.app/

Page Load Overview

1.33s
Total Load Time
169 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:291 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical37% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
37%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
463.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
72--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A78275EB9A5300563C13E5643FB65B872236C103C219CD797FDC639CCF856D8A9A2B98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:F+Bg6fcqL8aERA+n4Q/7TgotSzsoBpea1AX76/o6HMBch0msRgu67CkbZdZ3ZAWP:mFXZqByU3k37c7I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18798:HKIIMmEvJQARCAFXuIynA4AUgYaQJOio2AKloNBMo3J0FI5AVBYAFBBIFMApILEgAxI4AIpiLDFEEaTTTh5AMghTqiaNRRsC

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:#bf9540

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data