Security Scan Report: accessvalidoutlo.netlify.app

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https://accessvalidoutlo.netlify.app/
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Submitted: Sep 24, 2026, 12:45:11 PMCompleted: Sep 24, 2026, 12:45:52 PMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is accessvalidoutlo.netlify.app and was registered 8 years ago.

Submitted URL: http://accessvalidoutlo.netlify.app/

Effective URL:

https://accessvalidoutlo.netlify.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Microsoft-branded credential phishing on a free netlify.app subdomain, using urgency and a fake facial-verification flow to harvest account passwords. Do not enter credentials.

Risk Factors (5)
Brand impersonation of Microsoft on a non-Microsoft, unranked domain
Credential-harvesting login form (email + password fields) on hosting-platform subdomain
Urgency and fear language demanding immediate verification
Facial-verification prompt used to add false legitimacy to the credential capture
Looping error message and re-entry instruction typical of phishing kits
Domain age information unavailable

Details

Page Title

Iniciar sesión - Microsoft

Scan Type

public

Domain Name Analysis

You're looking at domain 'accessvalidoutlo.netlify.app' on the application-focused generic top-level domain (.app) with subdomain 'accessvalidoutlo'. Its registrable label 'netlify' stretches across 7 characters split between 2 vowels and 5 consonants. Splitting it apart reveals three words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://accessvalidoutlo.netlify.app/

Page Load Overview

2.63s
Total Load Time
158 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:749 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
78%
documentation technical
53%
healthcare medical
48%
finance banking
37%
adult content
34%

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.
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16CA2C99736F309366957A0651BB7530A3660C003E90AC9483F9C56D48FC6BD9D9F3BC8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Wgy7bFlFi74eCD3k2ne6ptgLtqEMO5O0uUIL4bn/:TSFlFdrptgLJ5OjLa/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21385:mAH9QIWIkUBCQwokKZAAKCR1AEwIkAH4hALIjmRZ2CEIujhIQIgDQgEzyYYAaZAFYowTzolE1SAC6oADAQWBhJwUTfIzAVYI

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:0000183c3c180000
Perceptual Hash:998e663999666699
Difference Hash:0014202a32200000
Wavelet Hash:03031b1b1f073f3f
Color Hash:#784d3a

Other Hashes

Crop Resistant:0014202a32200000

Scan History

Scan history not available

Unable to load historical scan data