Security Scan Report: emprestimosimgl.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 18 IPs in 2 countries across 11 domains to perform 24 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://emprestimosimgl.vercel.app/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Unofficial vercel.app page impersonating Serasa/Experian and asking for a CPF on a fake loan offer with invented urgency and testimonials — do not enter personal data.

Risk Factors (4)
Brand impersonation of Serasa/Experian on a non-official vercel.app subdomain
Solicits the CPF national identification number on a lookalike loan page
Fabricated urgency ('142 people viewing now') and invented testimonial
Unranked domain on anonymous free hosting with unknown page age
Domain age information unavailable

Details

Page Title

serasa

Scan Type

public

Domain Name Analysis

The domain name 'emprestimosimgl.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'emprestimosimgl'. The second-level label 'vercel' is 6 characters long split between two vowels and 4 consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://emprestimosimgl.vercel.app/

Page Load Overview

1.67s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:236 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

finance banking83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
83%
adult content
42%
healthcare medical
40%
technology software
38%
government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
764.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.110.97Google · CDNUnited States
AS15169Google LLC
1104.26.10.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1216.239.34.36Google · CDNUnited States
AS15169Google LLC
1142.251.127.155Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1142.251.14.157Google · CDNUnited States
AS15169Google LLC
1142.251.153.119Google · CDNUnited States
AS15169Google LLC
1142.251.14.148Google · CDNUnited States
AS15169Google LLC
2418--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF2274935E55742FA03718EAF773F214B60B610FF8A1D965B4AC8334AF86886D8038B5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KxmGcb7cvYSwzvONhdmwF2qdr+qFgNtjKFAb7ylXo7W+A7W+A7W+A7W+A7W+r+5:gWXzviaqdwQC1HAHAHAHAHg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10199:MGCGONOY784KICJmbQAAIOBIiYJiksCAAGBsolAQki0Y5g4sUAmWAMgIwh8IqgqxkACZkAoAdGBgSDCmM93cHwAISPiAIASI

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:f3778acc33338c22
Difference Hash:0c0c0c0c0c0e0c0d
Wavelet Hash:c3c3c3c3c3c3c3c3
Color Hash:#864c2d

Other Hashes

Crop Resistant:0c0c0c0c0c0e0c0d

Scan History

Scan history not available

Unable to load historical scan data