Security Scan Report: 6465.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 6 domains to perform 34 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://6465.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake SFR Mail webmail hosted on an anonymous vercel.app subdomain with a credential-capturing login form — brand impersonation and phishing, do not enter any SFR credentials.

Risk Factors (5)
Brand impersonation of SFR (telecom/webmail) on a non-official .vercel.app subdomain
Credential capture form (username + password) on an unrelated, anonymous hosting tenant
Threat-intel report of phishing on the primary domain
IDS alerts referencing abuse of the vercel.app cloud hosting namespace
Unranked domain claiming a well-known brand identity
Domain age information unavailable

Details

Page Title

SFR Mail – Retrouvez votre Webmail, boite mail et adresse mail

Scan Type

public

Domain Name Analysis

The domain name '6465.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain '6465'. Its registrable label 'vercel' stretches across 6 characters split between 2 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

Security scan screenshot of https://6465.vercel.app/

Page Load Overview

1.31s
Total Load Time
288 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr
Text Length:6,597 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
80%
government public service
59%
corporate business
57%
adult content
42%
entertainment media
40%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
493.20.64.1Orléans, Centre-Val de Loire, France
AS15557Societe Francaise Du Radiotelephone - SFR SA
4104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
480.125.163.172France
AS15557Societe Francaise Du Radiotelephone - SFR SA
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
463.140.62.34Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
348--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12D630833A1C8216F5323D2CC3CA1B35E6123810BC9B66967B2ACCF596FC7991B94954F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Hts9zl4GXwpiax5AaoVdUnmeQnK04wAxM5SP3d7mzzZ+yA2LU7:u90i97fAxM5a3d7Eze7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70212:+IJSYB9EEioEMETABO0AFRsGemAMCAxkpBIGegHFuuAACsAMQC2PARYQiwooCAqfFSIQ6ENIkKEFpeA+6BBeCEAAwgNTBSgU

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:ff203c3c3c3c2000
Perceptual Hash:cb9a25bab9c19ac1
Difference Hash:4fc1e9e9f9e9c2c2
Wavelet Hash:ff207c7c7c7c6800
Color Hash:#bf407b

Scan History

Scan history not available

Unable to load historical scan data