Security Scan Report: schfd.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 4 domains to perform 25 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page mimics Orange login, collects credentials via a cross‑origin form on an unranked Vercel subdomain – high‑risk phishing.

Risk Factors (5)
Brand impersonation on unknown‑age subdomain
Credential collection via login form
Cross‑origin submission to third‑party endpoint
Unranked domain (not in Cisco Umbrella top 1M)
Highly obfuscated JavaScript
Domain age information unavailable

Details

Page Title

Identifiez-vous

Scan Type

public

Domain Name Analysis

The domain name 'schfd.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'schfd'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and four consonants. Segmentation suggests 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

75.16s
Total Load Time
626 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:fr
Text Length:441 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain40% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

cryptocurrency blockchain
40%
finance banking
30%
adult content
28%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.198.79.195United States
AS16509Amazon.com, Inc.
8193.252.133.109France
AS8891Orange
8193.251.202.2France
AS3215Orange
253--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118635BA248475042A6434CED33CE7729FD0E8127A581D461BBFC6B5A5FEBDE203593AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Uh35zFpNtdma+yuKquGBIsrVscmH/EoFop6bsXbhh5Kki2r8LIbyhqKjRF1WVCb1:vQE2n3b37ssjDj+R4PyyT87r9Xroup+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70588:ZmBTAA0yBCIYHYYwEgqZgiIAYSgKohcArLMKsITCzAmY2ooEqYuJYVEmH2JAALaEnAABAEFWMY2AtgCaJAhFoDoIYSAGNAQh

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:00ffdfbfbfffffff
Perceptual Hash:bf3e70410f636067
Difference Hash:3030386860002020
Wavelet Hash:00830000bcfcff81
Color Hash:#53ac9f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data