Security Scan Report: cfconfiglogin.vercel.app

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 5 domains to perform 12 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://cfconfiglogin.vercel.app/index1.html

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk phishing page impersonating WhatsApp, collecting phone numbers; avoid interaction and report.

Risk Factors (4)
Unranked / low‑reputation domain
Brand impersonation of a major service
Credential‑type form on a phishing‑flagged domain
Cross‑origin network request to external service
Domain age information unavailable

Details

Page Title

Whatsapp

Scan Type

public

Domain Name Analysis

The domain 'cfconfiglogin.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'cfconfiglogin'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and 4 consonants. It segments into 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

(QWhatsApp Para continuar con la validactén sefecclone su pais o Ingrese su ndmero de teléfono @ Selecciona tu pais v \ Teléfono

Page Load Overview

75.38s
Total Load Time
557 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:374 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network91% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
91%
healthcare medical
35%
finance banking
33%
news media journalism
33%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4216.198.79.195United States
AS16509Amazon.com, Inc.
445.43.142.5United Kingdom
AS16276OVH SAS
123--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17351990014F0DCA242EB6DCD56627C2A9AF98313D6124B48FA7E4BF90FB6E5ED233414

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hacs85Cc/Sc8GcDmV0NBdxxZK1/syGGC1dmqSmPBwAIWaxwwk2W0X503GRSB96+R:s8m7DG0X7u4GCZPZmYHO+WbkGaA/d2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3041:QAFEBEAAQUAAAIACSDABI6AAAQREAAQAJAEEAQBIAggAEABCAARQC6CQAAIAAEgAMAAYIAAIAIUCiAiAAIAAAAAAARRgAMQQ

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:ffffefefe7e7ffe7
Perceptual Hash:b399cc66139933cc
Difference Hash:00300a4a4c4c3008
Wavelet Hash:00000800c7c7e7ff
Color Hash:N/A

Other Hashes

Crop Resistant:00300a4a4c4c3008

Scan History

Scan history not available

Unable to load historical scan data