Security Scan Report: login.microsoftonline.pintato.com.ar

Submitted: Dec 21, 2025, 3:50:46 AMCompleted: Dec 21, 2025, 3:51:17 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is login.microsoftonline.pintato.com.ar and was registered NaN years ago.

Submitted URL: https://login.microsoftonline.pintato.com.ar/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Phishing page impersonating Microsoft login; high risk of credential theft.

Risk Factors
Brand impersonation / typosquatting
Login form collecting credentials on a suspicious domain
Unranked domain with brand claim
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(49%)

Domain Information

You're looking at domain 'login.microsoftonline.pintato.com.ar' on the Argentine country-code top-level domain (.com.ar) with subdomain 'login.microsoftonline'. The core label 'pintato' covers 7 characters split between 3 vowels and 4 consonants. Segmentation suggests two words: pinta, to. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://login.microsoftonline.pintato.com.ar/

Page Load Overview

6.65s
Total Load Time
5
HTTP Requests
1
Domains
23 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:234 chars
Detector Agreement:50%

Website Classification

Primary Category

finance banking49% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
49%
government public service
43%
healthcare medical
39%
adult content
30%
cryptocurrency blockchain
30%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
568.183.154.148Clifton, New Jersey, United States
AS14061DIGITALOCEAN-ASN
51--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184835BDA7EE72937828A55B5B5B67E029A3A9D43488CCC64F18CCC842FFB70D8167117

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jcFnFc8GLGGIFWF+MVLFM4+KMFzzTEyqU6MVnvnaloMPtbEfii49BOC:QFnFc8/FWF+MVLFx3MFmyS2+9gC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84902:MVRkFQADANtCOgiARAZVJsABILCyDRG4gG8xglMOAW7QUG1mgARJFg4AB6IAsriF9wBFUhZkIHKoUAoQBiCihWaQAIkIiAzA

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:3c1e1e7f33734f30
Perceptual Hash:8d12526d67926d6d
Difference Hash:d8b0b0d9d6e6d9d5
Wavelet Hash:3c1e1e3f33330f30
Color Hash:#2d866a

Other Hashes

Crop Resistant:d8b0b0d9d6e6d9d5

Scan History

Scan history not available

Unable to load historical scan data