Security Scan Report: www.autenti-ema-what.vercel.app

Redirected to:
https://autenti-ema-what.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 5 domains to perform 16 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.autenti-ema-what.vercel.app/

Effective URL:
https://autenti-ema-what.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Spanish-language Microsoft sign-in page on an unrelated unranked vercel.app subdomain, collecting email and password via obfuscated form fields — a classic credential-phishing setup. Do not enter any credentials.

Risk Factors (5)
Impersonation of Microsoft's login experience on a non-Microsoft, unranked domain
Credential-collecting form (email + password) on a mismatched host
Obfuscated form field names ('eml', 'psew') consistent with phishing-kit obfuscation
Free shared-hosting subdomain with unknown publication date
IDS alerts for actor-abused cloud hosting
Domain age information unavailable

Details

Page Title

Iniciar

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.autenti-ema-what.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'www.autenti-ema-what'. The second-level label 'vercel' is 6 characters long split between two vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

HF Microsoft Iniciar sesi6n & Correo electrénico @ Contraseha eg

Page Load Overview

2.80s
Total Load Time
190 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Text Length:62 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
42%
healthcare medical
40%
government public service
36%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
166--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B48166C500F71D5B821268B866C375053AE9D0278506ED14B6BC8A985FCBF4F9CA372E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:s8dZ8vG0PqzmDnvYDXunb0cGFpozmGSFs7GfOPB4IYXAGYatCSW25eAgc2pzAFwq:7dZyG0ixc1cuaPTi8AJvqNj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3870:CAsCsAFAQAAKqAIAgAAASwKAGgIAIAEYAXAAkgBAICKAAA0UQIBg0EAAcGEBAwAAAaDCGkAAAhgWBWADgIAAFECAAAgBALQA

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:f0f0fc9aa5250d3f
Perceptual Hash:c3dc40668f996673
Difference Hash:e280b0324dadd9d8
Wavelet Hash:f0f0fc98e161053f
Color Hash:N/A

Other Hashes

Crop Resistant:e280b0324dadd9d8

Scan History

Scan history not available

Unable to load historical scan data