ScanMalware.com

Security Scan Report: projectshare.ngrok.pro

Redirected to:
https://projectshare.ngrok.pro/OneDrive.html
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/aa09ed4d-dcf7-4bdd-9b83-8eb21b216528Domain and IP registration (RDAP)/api/v1/rdap/aa09ed4d-dcf7-4bdd-9b83-8eb21b216528How often this domain was scanned/api/v1/domain/stats/projectshare.ngrok.proScan history for this domain/api/v1/domain/history/projectshare.ngrok.pro?limit=15
This website contacted 8 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is ngrok.pro and was registered 4 years 3 months ago.

Submitted URL: http://projectshare.ngrok.pro/OneDrive.html

Effective URL:
https://projectshare.ngrok.pro/OneDrive.html
Redirected

AI Security Verdict

Low Risk

Confidence: 90%

3
Risk Score

Fake Microsoft OneDrive page hosted on an ngrok tunnel, impersonating Microsoft to steal credentials via a verification lure. Avoid interaction.

Risk Factors (4)
Brand impersonation of Microsoft OneDrive on a non-official domain
Deceptive use of a free tunneling service to host a fake login page
Psychological lure ('protected document', 'verify your identity') to trick users into clicking
Unranked domain with no legitimate reputation
Safety Factors (3)
Root domain ngrok.pro has been registered for 1565 days (but subdomain is user-controlled)
No credential or payment forms are present directly on this page (the phishing likely occurs after the redirect)
Page presents itself as a developer clone/tutorial build of a well-known product and offers no sign-in, wallet, payment or download step — a practice project, not an impersonation attempt
Domain age information unavailable

Details

Page Title

OneDrive

Scan Type

public

Domain Name Analysis

The domain name 'projectshare.ngrok.pro' uses the .pro top-level domain; it also runs on subdomain 'projectshare'. Its registrable label 'ngrok' stretches across 5 characters holding one vowel versus 4 consonants. Breaking it apart gives two words: ng, rok. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Oarmip O My files ‘D Recent 28 Shared TW Recycle bin Shared file ie) Name Modified Size ie) [R, Project Outline 10/26/2026 a 12.08MB

Page Load Overview

2.64s
Total Load Time
245 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:537 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical84% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
84%
download file sharing
82%
technology software
81%
adult content
65%
government public service
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
763.177.123.104Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
03.74.92.3Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.110.95Google · CDNUnited States
AS15169Google LLC
052.59.1.195Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
035.159.48.10Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
78--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1427285629BF71966305784542BEB97593AA49007D10AE70C3FAC67CCCFC2B9AD453B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:5UAJcvidXy5fd7F6hAthBUTwjgmNUyeCnErk27WzzhuotwFiL4enii/ezfMFgfYT:55A0qeCvhuotwFiSiGz0rt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16031:ncGByQYSStdExJyokAA6iOEGpJxLaH5AAKrgClMJTyFAANEgVjRIUU4JooQISDwjgQYGYQgYgRobA5NBIJykqYg5YSMhRBJL

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:00ffffffffffffff
Perceptual Hash:ff0202073f7d7470
Difference Hash:61c1000000000000
Wavelet Hash:007fb0b0c0c0c0c0
Color Hash:N/A

Other Hashes

Crop Resistant:69e1000000000000,0000804040408000

Scan History

Scan history not available

Unable to load historical scan data