Security Scan Report: lambent-servicosdeatendimento.netlify.app

Submitted: Sep 22, 2026, 1:45:14 PMCompleted: Sep 22, 2026, 1:45:37 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

The domain name 'lambent-servicosdeatendimento.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'lambent-servicosdeatendimento'. The second-level label 'netlify' is 7 characters long split between 2 vowels and five consonants. It segments into three words: net, li, fy. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.39s
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:286 chars
Detector Agreement:100%

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
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
263.176.8.218Aws · 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

T1028265EB9A5310563C13E5643FB65B8722368103C209CD797FDC639CCF856D8A9A2B98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:T+Bg6fcqL8aERA+n4Q/7TgotSzsoBpea1AX76/o6HMBch0msRgu67CkbZdZ3ZAWP:MFXZqByU3k37c7I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18798:CKIIIm0GJAkACAFXea6nSwBEhQyAJGi4mAKHKNBM71B1FYJARp6AEBLIHiEgIJMoKxMAgIjr7DFEEQTSDBgSgAlCqrbNzRMI

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:#d2797e

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data