Security Scan Report: doc-portail-santacruzexpress.vercel.app

Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://doc-portail-santacruzexpress.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake Microsoft/OneDrive page on a vercel.app subdomain using a verification-code lure; Google Safe Browsing flags it for social engineering. Do not enter codes or credentials.

Risk Factors (5)
Safe Browsing Social Engineering detection
Brand impersonation of Microsoft on a non-Microsoft, unranked vercel.app host
Verification-code / device-authorization lure used to obtain an authentication code
Third-party-hosted (wikimedia) brand imagery typical of copied Microsoft logos
Hosting on an instantly-provisioned free subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Sign in – Microsoft & OneDrive

Scan Type

public

Domain Name Analysis

You're looking at domain 'doc-portail-santacruzexpress.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'doc-portail-santacruzexpress'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus 4 consonants. Tokenizing the label suggests two 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://doc-portail-santacruzexpress.vercel.app/

Page Load Overview

6.79s
Total Load Time
131 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:513 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
55%
adult content
27%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0185.15.59.240United States
AS14907Wikimedia Foundation Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
34--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F544AECDB8E310256AB3117C9BBF2305743AA413454ACD11BD8CA2542FD069A9B7BBFC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:9T1Cv8p9NU8dBuY/cZ+sf59p/I1B9a/r/+z3cjIzaeiLHiLa8hashap42qF//yIg:9Rg8ps8x/U+sf59p/Qa/r/+zsjIzaeiN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:273864:oQ1NanIdQBHgAhKCFBQAkCIEQBuhAmobTLHSUOAFgDAPQAmBCCQAEdCrBKWITRpKwRwwIgzZAUAfGnSkM4QCyAUgRIOIYChN

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:f0f8fcfcfce09800
Perceptual Hash:dfc864f662ca22cc
Difference Hash:0010282828283000
Wavelet Hash:fefcf8f8f8e08000
Color Hash:#4082bf

Other Hashes

Crop Resistant:0010282828283000

Scan History

Scan history not available

Unable to load historical scan data