Security Scan Report: hml-app.digitopayoficial.com.br

Redirected to: https://hml-app.digitopayoficial.com.br/auth/login

Submitted: Jan 23, 2026, 3:34:05 AMCompleted: Jan 23, 2026, 3:35:14 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is hml-app.digitopayoficial.com.br and was registered NaN years ago.

Submitted URL: https://hml-app.digitopayoficial.com.br/

Effective URL: https://hml-app.digitopayoficial.com.br/auth/loginRedirected

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

High‑risk phishing login page; do not enter credentials.

Risk Factors
Hidden password field
Password field without username/email field
Domain age information unavailable

Details

Page Title

DigitoPay

Scan Type

public

Language

🇵🇹

Portuguese

(50% confidence)

Category

finance banking

(87%)

Domain Information

Within the Brazilian country-code top-level domain (.com.br), 'hml-app.digitopayoficial.com.br' is registered and includes subdomain 'hml-app'. The registrable portion 'digitopayoficial' spans 16 characters split between 8 vowels and eight consonants. Segmentation suggests 4 words: digit, o, pay, oficial. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hml-app.digitopayoficial.com.br/

Page Load Overview

2.55s
Total Load Time
36
HTTP Requests
2
Domains
5.5 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:en
Text Length:325 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

finance banking87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
87%
technology software
82%
corporate business
61%
documentation technical
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18104.26.7.56United States
AS13335CLOUDFLARENET
18142.250.185.106United States
AS15169GOOGLE
362--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4E25631E600252FB5978AFEC4C8FD110E96CDD2C607AF6FF1826E0CA6C8E55B159B52

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:HSSr0Zz7L+T4JHpYYFLrEy7wPlZZcb+3t7ru6Lnz+ClOOo64nx/4/:yC0V+TwFLrz7AZibWrdz+ClOg2x/E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32729:SCAUBBAABgEoEiacKtEBhRk1jxITzKGAKDFWAAgIBAgpFYAgBCjjfGIXUBqApNSCh1BAoEBA0hBAaEiAiAwiUCZpIJTqBAo1

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:0119191919010080
Perceptual Hash:89897222d999ddce
Difference Hash:9fb3b2b233130303
Wavelet Hash:671f1b1b1b9bc1c0
Color Hash:#6ce0d0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data