Security Scan Report: onedrive-1-one.vercel.app

Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 5 domains to perform 16 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://onedrive-1-one.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake OneDrive file-sharing page on a vercel.app subdomain that asks for your email password and sends the captured credentials to gheda-it.com via a hidden POST. Phishing — do not enter credentials.

Risk Factors (5)
Brand impersonation of OneDrive/Microsoft on an unrelated vercel.app subdomain
Credential-harvesting password form presented as a file-sharing login
Cross-origin exfiltration of captured credentials to gheda-it.com/ma/fo4.php
Deceptive pretext promising access to 'sensitive' shared documents in exchange for email credentials
Hosted on an instantly-registrable platform subdomain with unknown creation date and no domain reputation
Domain age information unavailable

Details

Page Title

OneDrive Style UI

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'onedrive-1-one.vercel.app' is registered; it also runs on subdomain 'onedrive-1-one'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside four consonants. Splitting it apart reveals two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Files Shared My files File requests Deleted files OneDrive Name + i Order_list.xisx t=} Company profile. pdf "Hi Specifications.xisx 1 Samples.xisx Modified 1 Yesterday 1:32 PM Yesterday 1:...

Page Load Overview

5.91s
Total Load Time
526 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:660 chars
Detector Agreement:50%

Website Classification

Primary Category

download file sharing63% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
63%
documentation technical
44%
corporate business
41%
technology software
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.21.27.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
168--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148229505B9FD1523202384DAB7B3DF166E74E11BC2068D2476BD17D88F86E86BC53789

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:hrE1UoJhfiXImpnZRK8OKSlvaTEO8AH/uqikK0vMQayNN7kG68/BT7q:hrEsrMQfNQ8lq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10906:YjCJ2UEJgQIAhCFFBahgRCJYeAVnCo1dQCE1SEk2PE4AAdQJgGxK5QIZgmLjkIYAAwlBIiBYFsBgStqQjgIFAApDCAoQyMjE

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:002c2cc0c0c0c0c0
Perceptual Hash:fe03037cfcf83818
Difference Hash:62d8580000000000
Wavelet Hash:202c2ffbf0f0f0f0
Color Hash:N/A

Other Hashes

Crop Resistant:62d8580000000000

Scan History

Scan history not available

Unable to load historical scan data