Security Scan Report: github.com

Submitted: Completed: publiccompleted
This website contacted 10 IPs in 3 countries across 5 domains to perform 173 HTTP transactions. The main domain is github.com and was registered 19 years ago.

Submitted URL: https://github.com/Lakmal2078/Unexpected-Keyboard/blob/master/gradlew.bat

The Cisco Umbrella rank of the primary domain is #1,803 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate GitHub page displaying the gradlew.bat file of an open-source Android keyboard project. No forms, no impersonation, no threat-intel hits; the INFO-level IDS notices merely reflect the .bat download URL.

Safety Factors (5)
Well-established, top-ranked domain (github.com)
Self-branded page matching its own domain
Zero forms and zero credential/payment fields
No Indicators of Compromise, hunting rule, or Safe Browsing hits
Content is ordinary open-source Gradle wrapper script text under Apache 2.0 license
Domain age information unavailable

Details

Page Title

Unexpected-Keyboard/gradlew.bat at master · Lakmal2078/Unexpected-Keyboard · GitHub

Scan Type

public

Domain Name Analysis

The domain 'github.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'github' is 6 characters long containing two vowels alongside four consonants. Breaking it apart gives three words: g, it, hub. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

@ @umme ents Emme GmemHe EMpipe RAD > Lakmal2078 / Unexpected-Keyboard <> Code © Issues J Pullrequests (2) © Actions [A Projects @ Securityand quality [¥ Insights Files Unexpected-Keyboard / grad...

Page Load Overview

7.92s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:9,726 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
46%
forum community discussion
45%

Detected Features

OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2020.250.119.67Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
17140.82.121.4Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
17185.199.109.215Fastly · CDNUnited States
AS54113Fastly, Inc.
17140.82.114.21United States
AS36459GitHub, Inc.
17185.199.111.133Fastly · CDNUnited States
AS54113Fastly, Inc.
17140.82.121.3Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
17185.199.108.215Fastly · CDNUnited States
AS54113Fastly, Inc.
17185.199.111.215Fastly · CDNUnited States
AS54113Fastly, Inc.
17185.199.110.215Fastly · CDNUnited States
AS54113Fastly, Inc.
1720.250.119.72Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
17310--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16374E861B0B4863D037B56DEFAF05324E396B35BC68658D1C97EC3A482D6C88F5E3099

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:wNE6o1fMT+OTDMN3NpXoghjDaGtF0NN2HW8N/mYNbfEQO41VxqyrreZ5S2QNqf/O:wy6o1fMT+8DMN3NpXoghjDaGtF0NN2Hr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:360874:jSQiAhWhowAYIAvEikBMwANAqcoUWpkqNTTTgIFIBsDAFTABbWQAUSEgABIwhPJERABACoiIiw9NQMAICgMgaCASqBSBCM0l

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:98674f232a636e63
Difference Hash:c72020b8b8b8b8b0
Wavelet Hash:001e1e4f0f1f1f1f
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data