Security Scan Report: talento-credix.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://talento-credix.vercel.app/auth

AI Security Verdict

Moderate Risk

Confidence: 58%

4
Risk Score

Self-branded 'Credix' personnel-automation app on a vercel.app subdomain with its own same-origin login form. No impersonation, no threat-intel hits, no exfiltration; only the unverified, unknown-age hosting platform keeps it at moderate risk.

Risk Factors (3)
Login form collecting email and password on a shared hosting-platform subdomain whose actual creation date is unknown
Unranked domain with no established reputation beyond the hosting platform apex
IDS tags note vercel.app as a commonly actor-abused cloud hosting service (generic abuse reputation, not evidence of malicious content here)
Safety Factors (5)
No Indicators of Compromise or threat-intelligence matches against the page or its resources
No JavaScript malware patterns, no obfuscated scripts, no credential exfiltration
Form is same-origin with no external submission target and no cross-origin JS network contacts
Branding matches the domain (self-branding), no impersonation of another organisation
No payment or card fields; only a standard account sign-in form
Domain age information unavailable

Details

Page Title

Automatizaciones de Personal

Scan Type

public

Domain Name Analysis

The domain 'talento-credix.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'talento-credix'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus 4 consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Ieredix Iniciar sesión Email E tu@email.com Contraseña ¿Olvidaste tu contraseña? & Tu contraseña Ini sesión ¿No tienes cuenta? Regístrate

Page Load Overview

0.47s
Total Load Time
194 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:131 chars
Detector Agreement:95%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

e-commerce shopping46% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

e-commerce shopping
46%
social media network
44%
news media journalism
44%
finance banking
43%
adult content
43%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.29.167Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
64--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19C828740745C127C6E3FE654FEC4A72CA125B403EEE64426A10E148BE5C3FF526EAB95

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:1oOX5Q6eyEAUu/cxksc64Jysq7vGi6sBYOrA:/eccxksc64Jysq7vGiZBYIA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17907:GAgMkSkgEIONpRoEO1lVCSKlmIIYhx6AkEEQgwfyTQIwoWAABOAXWEDQoXpgEuAA5EABhAjqxTFSGiJbRgCGOxo9A1RyihNA

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:ffffe7e7ffe7ffff
Perceptual Hash:f3c98c66cc263399
Difference Hash:0d314829904c2000
Wavelet Hash:fefce0f0f8c0d880
Color Hash:07000030001

Other Hashes

Crop Resistant:0d314829904c2000

Scan History

Scan history not available

Unable to load historical scan data