ScanMalware.com

SCAN INCOMPLETE - LIMITED DATA COLLECTED

There were problems collecting data from this website

The website may be blocking automated browsers (bot protection)
The site may be using geo-blocking or rate limiting
Network connectivity issues may have prevented access

LIMITED DATA

Note: There were problems collecting data during this scan, and some information may be missing or incomplete. The security analysis below is based on limited information and may not be accurate. Consider trying the scan again.

Security Scan Report: ideal-winner-v6v999v6j7552pwjj-3000.app.github.dev

Submitted: Dec 17, 2025, 2:25:10 PMCompleted: Dec 17, 2025, 2:25:54 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ideal-winner-v6v999v6j7552pwjj-3000.app.github.dev and was registered NaN years ago.

Submitted URL: https://ideal-winner-v6v999v6j7552pwjj-3000.app.github.dev/tools

The Cisco Umbrella rank of the primary domain is #92,084 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Likely phishing page impersonating GitHub login

Risk Factors
Credential harvesting form (username/email and password fields) on an unusual subdomain
Brand impersonation of GitHub on a non‑official domain
Domain age information unavailable

Details

Page Title

Sign in to GitHub · GitHub

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'ideal-winner-v6v999v6j7552pwjj-3000.app.github.dev' is registered with subdomain 'ideal-winner-v6v999v6j7552pwjj-3000.app'. The registrable portion 'github' spans 6 characters split between 2 vowels and four consonants. Word splitting yields 3 words: g, it, hub. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ideal-winner-v6v999v6j7552pwjj-3000.app.github.dev/tools

Page Load Overview

8.08s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:846 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
45%
adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
320.103.221.187Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F6329B2B134087D42134FCAF6A1FE487735E31BDA45C598B5BE92B4ABC3D89850329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6zHvXeAFfB8zDgwazRMFFmqbO/ImACwo1raaqBMoYerAuIlwXcBWPerGRkZ7dNVa:cXeAFfB8zDgwazSFFmqbO/ImACwo1rat

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72414:ylDBgqAbCABSKBhAehCSk1YkOgJgBxJwGABEE0QcGBAACLFhKoIQEmALAQGlAAIkxEC5SAMdgJGFBQBINwAAIkEyhPUoJKet

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:e7efe7e7e7ffff42
Perceptual Hash:b333c9984c6666e6
Difference Hash:0c084d0c08000086
Wavelet Hash:04042424e3fbff00
Color Hash:#2d867b

Other Hashes

Crop Resistant:0c084d0c08000086

Scan History

Scan history not available

Unable to load historical scan data