Security Scan: Iniciar sesión en tu cuenta de Microsoft

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/739b8310-0484-4c20-af55-e5e1a34fe6da Domain and IP registration (RDAP)/api/v1/rdap/739b8310-0484-4c20-af55-e5e1a34fe6da Certificate Transparency/api/v1/ct/gjgyrtybvccg.netlify.app How often this domain was scanned/api/v1/domain/stats/gjgyrtybvccg.netlify.app Scan history for this domain/api/v1/domain/history/gjgyrtybvccg.netlify.app?limit=15

This website contacted 5 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is gjgyrtybvccg.netlify.app and was registered 10 years ago.

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

Effective URL:

https://gjgyrtybvccg.netlify.app/

Redirected

AI Security Verdict

High Risk

Confidence: 85%

Risk Score

The page impersonates Microsoft and harvests credentials via a disguised password field, indicating a high‑risk credential phishing site.

Risk Factors

Brand impersonation of Microsoft on a free hosting subdomain

Disguised password field (type=text with password placeholder)

Unicode evasion technique in form fields

Unranked domain (not in Cisco Umbrella top 1M)

Credential collection form without legitimate brand ownership

Domain age information unavailable

Details

Page Title

Iniciar sesión en tu cuenta de Microsoft

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'gjgyrtybvccg.netlify.app' is registered; it also runs on subdomain 'gjgyrtybvccg'. Count 7 characters in 'netlify' with two vowels and 5 consonants. It segments into three words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

0.51s

Total Load Time

52 KB

Total Size

Language Analysis

Primary Language

🇪🇸Spanish

Code: es

Confidence:80%

Script:Latin

Direction:ltr

Detection Details

HTML Lang Attribute:es

Text Length:525 chars

Detector Agreement:100%

Website Classification

Primary Category

technology software57% confidence

Type: static

Method: ml+structural

All Detected Categories

technology software

57%

government public service

31%

Detected Features

No structural features detected

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
4	35.157.26.135Aws · CLOUD	Frankfurt am Main, Hesse, Germany	AS16509Amazon.com, Inc.
1	162.159.138.232Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
1	104.26.13.205Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
1	104.26.8.44Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
1	63.176.8.218Aws · CLOUD	Frankfurt am Main, Hesse, Germany	AS16509Amazon.com, Inc.
8	5	-	-

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A72296364B40832B5A3A1A92693A5463035D043DA8DCE39BE9D47B04F4EE9EC7B374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:90GyrHPziF87tCzT6QXuJmIyBr28y6diKNxnr0iynOyb3wyOD6S6Wbb53:sE4tHQXu8XDr7ymZHF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17171:TQElgXVhUBBogAVmEAKA4AY8heIrA4cEIoJfiEGqG1hKwaTAhcBARDUjxAEgBgVZgFQFoMEsHJgCAALJSiAwWAAIhCAEAMEo

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:efefe7e7e7e7ffe7

Perceptual Hash:b3998c66cccc66cc

Difference Hash:08080c0c0c4d000c

Wavelet Hash:2727272727272727

Color Hash:#2d864c

Other Hashes

Crop Resistant:08080c0c0c4d000c

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: gjgyrtybvccg.netlify.app