Security Scan Report: lambent-servicosdeatendimento.netlify.app

Site favicon
Submitted: Sep 22, 2026, 10:50:03 PMCompleted: Sep 22, 2026, 10:50:37 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake 'Official Serasa' page on a netlify.app subdomain using debt-scam urgency to harvest CPF data. Brand impersonation of a different entity — avoid and report.

Risk Factors
Impersonation of Serasa's brand on a non-official domain
Requests sensitive personal data (CPF) under the pretext of 'verification'
Artificial urgency and fabricated success counters
Unranked, anonymously-created hosting-platform subdomain
Domain age information unavailable

Details

Page Title

Atendimento

Scan Type

public

Domain Name Analysis

You're looking at domain 'lambent-servicosdeatendimento.netlify.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'lambent-servicosdeatendimento'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus five consonants. Segmentation suggests 3 words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lambent-servicosdeatendimento.netlify.app/

Page Load Overview

0.84s
Total Load Time
173 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:293 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service54% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
54%
real estate property
47%
finance banking
41%
healthcare medical
39%
adult content
36%

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.
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
62--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B8266EB9A5300963C13E5643FB65B872236C103C209CD797FDC635CCF856D8A9A2B58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:q+Bg6fcqL8aERA+n4Q/7TgotSzsoBpea1AX76/o6HMBch0msRgu67CkbZdZ3ZAWP:xFXZqByU3k37c7I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18588:Q8pFY9BBASEEKoCJUBRmMAECgRlaZIUDkDQAVJKCKgjNpaKzsJRCAcmlIEEeFiEhMQAAAQYWiIaF2ZaEwyLyChAgFIEozGwC

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:#53ac72

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data