Security Scan Report: safradocumentos.vercel.app

Submitted: Jul 22, 2026, 2:50:14 PMCompleted: Jul 22, 2026, 2:51:33 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is safradocumentos.vercel.app and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site impersonates Banco Safra without collecting credentials, posing a moderate brand‑impersonation risk.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Unknown subdomain age
Safety Factors
No credential or payment forms
No malicious JavaScript or network activity detected
No external links to suspicious sites
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Banco Safra - Envio de Documentos

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

finance banking

(56%)

Domain Information

The domain 'safradocumentos.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'safradocumentos'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Breaking it apart gives 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.48s
Total Load Time
18
HTTP Requests
1
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:1,311 chars
Detector Agreement:80%

Website Classification

Primary Category

finance banking56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
56%
government public service
36%
corporate business
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1864.29.17.3United States
AS16509Amazon.com, Inc.
181--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B472B579F409ED1FA8278E99A13DFF3A40CDC27BC616D95CE2DCC6151382D709B92A84

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:fOqgrVuqlvPqZZT8copB42IcRvfFJaQTRaB3c44:fOqSVuql+q31aBz4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17102:NCEQBRThgSiwKIsAyAUPCBqKoAXRtUIwDBKSMAvIyEAg50QPQkEPQJKCAIpgBAVEBv1IAgEoM+jioA44gEJRYEE2ASALHhIV

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:bf090b072707ffff
Perceptual Hash:af2dc82796d61ec0
Difference Hash:7253336c4f6f101c
Wavelet Hash:9f0101070703ffff
Color Hash:#48bf40

Scan History

Scan history not available

Unable to load historical scan data