Search Results for "vulnerable"
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Showing 8 open source projects for "vulnerable"
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1
Splunk Attack Range
A tool that allows you to create vulnerable environments
The Splunk Attack Range is an open-source project maintained by the Splunk Threat Research Team. It builds instrumented cloud (AWS, Azure) and local environments (Virtualbox), simulates attacks, and forwards the data into a Splunk instance. This environment can then be used to develop and test the effectiveness of detections. -
2
paramspider
Mine parameterized URLs from web archives for security testing
...Instead of returning every discovered URL, the tool intelligently filters results to highlight parameterized endpoints that are more useful for vulnerability testing. These endpoints are commonly used during reconnaissance because parameters often expose inputs that may be vulnerable to issues like cross-site scripting, SQL injection, or server-side request forgery. ParamSpider automates the process of retrieving archived URLs, cleaning them, and preparing them for fuzzing or further probing. It can process a single domain or multiple domains from a list, making it useful for both targeted testing and large-scale reconnaissance. -
3
SocialPwned
OSINT tool to collect emails from social networks and find leaks
SocialPwned is an OSINT tool designed to gather publicly exposed email addresses from social networks and analyze them for potential credential leaks. It helps security researchers and penetration testers identify vulnerable targets during the footprinting phase of ethical hacking engagements. It collects email addresses associated with individuals or organizations from platforms such as Instagram, LinkedIn, and Twitter. Once emails are discovered, SocialPwned searches for leaked credentials using breach databases like PwnDB and Dehashed to determine whether those accounts have appeared in data leaks. ... -
4
Web Security Dojo
Virtual training environment to learn web app ethical hacking.
Web Security Dojo is a virtual machine that provides the tools, targets, and documentation to learn and practice web application security testing. A preconfigured, stand-alone training environment ideal for classroom and conferences. No Internet required to use. Ideal for those interested in getting hands-on practice for ethical hacking, penetration testing, bug bounties, and capture the flag (CTF). A single OVA file will import into VirtualBox and VMware. There is also an Ansible... -
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5
ODS3 Virtual Machine Challenge
Virtual Machine Image To Test Penetration Skills
...These images are great for cyber security students, penetration testers and hobbyist. Care should be taken if installed on an Internet access host as the application are purposely vulnerable to attack and exploitation. -
6
Mole
Automatic SQL Injection Exploitation Tool
Mole is an automatic SQL Injection exploitation tool. Only by providing a vulnerable URL and a valid string on the site it can detect the injection and exploit it, either by using the union technique or a boolean query based technique. The Mole uses a command based interface, allowing the user to indicate the action he wants to perform easily. The CLI also provides auto-completion on both commands and command arguments, making the user type as less as possible. -
7
SkunxTools
WebApp Pentest Tool
...In its current phase it currently scans google dorks and tests for sql vulnerabilities. Once urls are harvested from google dorks they are saved to a log file for future reference. One a sql check is run, the vulnerable URLs are saved to a seperate log file. View the readme in /docs for more information. -
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Malware Classifier
Perform quick, easy classification of binaries for malware analysis.
Adobe Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware, so they can develop malware detection signatures faster, reducing the time in which users' systems are vulnerable. Malware Classifier uses machine learning algorithms to classify Win32 binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for “malicious,” or “UNKNOWN.” The tool was developed using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a dataset of approximately 100,000 malicious programs and 16,000 clean programs. ...
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