The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 23 Pentesting Open-Source Projects
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Ciphey
⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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owasp-mastg
The Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes the technical processes for verifying the controls listed in the OWASP Mobile Application Security Verification Standard (MASVS).
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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social-analyzer
API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites
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Red-Teaming-Toolkit
This repository contains cutting-edge open-source security tools (OST) for a red teamer and threat hunter.
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hacktricks
Welcome to the page where you will find each trick/technique/whatever I have learnt in CTFs, real life apps, and reading researches and news.
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pupy
Pupy is an opensource, cross-platform (Windows, Linux, OSX, Android) C2 and post-exploitation framework written in python and C
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rengine
reNgine is an automated reconnaissance framework for web applications with a focus on highly configurable streamlined recon process via Engines, recon data correlation and organization, continuous monitoring, backed by a database, and simple yet intuitive User Interface. reNgine makes it easy for penetration testers to gather reconnaissance with minimal configuration and with the help of reNgine's correlation, it just makes recon effortless.
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wstg
The Web Security Testing Guide is a comprehensive Open Source guide to testing the security of web applications and web services.
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Infosec_Reference
An Information Security Reference That Doesn't Suck; https://rmusser.net/git/admin-2/Infosec_Reference for non-MS Git hosted version.
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DefaultCreds-cheat-sheet
One place for all the default credentials to assist the Blue/Red teamers activities on finding devices with default password 🛡️
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
sqlmap
Project mention: CyberChef from GCHQ: The Cyber Swiss Army Knife | news.ycombinator.com | 2024-02-01I also discovered Ciphey. Neat little tool indeed, but it's being deprecated. It's mentioned in this issue[1] and being replaced with Ares[2]. Neither could decipher this strange encryption[3] I used it on :(
[1] https://github.com/Ciphey/Ciphey/issues/764
[2] https://github.com/bee-san/Ares
[3] "dEFLWWFKQWxRQW16RnkvbTZML0lsdz09" original text is "hacker"
Project mention: Show HN: Pfuzz, a web fuzzer following the Unix philosophy | news.ycombinator.com | 2024-01-21It seems to me like "fuzzing" has a different meaning in web application penetration testing. Here, "fuzzer" is a term for tools that just generate different request using wordlists, without adding any mutations. For example, the two popular web fuzzers ffuf [1] and wfuzz [2] also call themselves fuzzers.
I see how reusing a term for a different concept is bothersome, but I feel like "fuzzer" is the term that people learning about bug bounty hunting are familiar with.
Project mention: More ways to identify independently security tested apps on Google Play | news.ycombinator.com | 2023-11-03
I am new to Python. With the help of several users (thanks u/Diapolo10 and u/shiftybyte)I've been able to install Python and the dirsearch package. Dirsearch (https://github.com/maurosoria/dirsearch) allows for checking website paths with a wordlist. For example, I have a wordlist file with words like "dog", "cat", "bird", etc and I want to check the validity of those words as extensions on a website. Something like "example.com/bird", "example.com/cat", etc. I have a test wordlist in the same directory as dirsearch, but I am confused on how to proceed with the commands. I want to have it check my wordlist as extensions on the example.com website and then save output on if the webpath is valid or not. Just need a little bit of help.
Project mention: Launch HN: Corgea (YC S23) – Auto fix vulnerable code | news.ycombinator.com | 2024-01-09Hi HN, I’m the founder of Corgea (https://corgea.com). We help companies fix their vulnerable source code using AI.
Originally, we started with a data security product that would detect data leaks at companies. Despite initial successes and customer acquisitions, we frequently heard that highlighting issues wasn't enough; customers wanted proactive fixes. They had hundreds (yes hundreds!) of security tools alerting them about vulnerabilities, but couldn’t afford a dedicated team to go through them all and fix them. One prospect we spoke to had tens of thousands of reported vulnerabilities in their SAST tool. With the rise of AI code generation, we saw an opportunity to give customers what they really wanted.
Having Corgea is like having a security engineer on staff focused on making your code more secure. We want security to be an enabler of engineering rather than a blocker to it, and the reverse to be true. To accomplish this, we built it on top of existing LLMs to issue code fixes.
To show Corgea’s capabilities, we took some popular vulnerable-by-design applications like Juice Shop (https://github.com/juice-shop/juice-shop), scanned them and issued fixes for their vulnerabilities. You can see some of them here: https://demo.corgea.com. Some examples of vulnerabilities it solves are like SQL injection, Path Traversal and XSS.
What makes this tough is that currently LLMs struggle at generalist coding tasks because it has to understand your whole code base, the domain you’re in, and the user’s request to do something. This can lead to a lot of unintended behavior where it codes things incorrectly because it’s giving a best guess at what you want. Adam, one of the founding engineers on the team coined it well: LLMs don’t reason, they fuzz.
We made several decisions that helped the LLM become more deterministic. First, what we’re doing is extremely domain specific: vulnerable code fixes in a limited number of programming languages. There are roughly 900 security vulnerabilities in code, called CWE’s (https://cwe.mitre.org/), that we’ve built into Corgea. An SQL injection vulnerability in a Javascript app is the same regardless if you’re a payments company or a travel booking website. Second, we have no user generated input going into the LLM, because SAST scanners everything needed to issue a fix. This makes it much more predictable and reproducible for us and customers. We can also create robust QA processes and checks.
To illustrate the point, let’s put some of this to the test using some napkin math. Assume you’re serving 5,000 enterprises that ship on average 300 domain specific features a year in 5 different programming languages that each require 30 lines of code changes across multiple files. You’ll have about 300m permutations the product needs to support. What a nightmare!
Using the same napkin math, Corgea needs to support the ~900 vulnerabilities (CWE’s). Most of them require 1 - 2 line changes. It doesn’t need to understand the whole codebase since the problem is usually isolated to a few lines. We want to support the 5 most popular programming languages. If we have 5,000 customers, we have to support ~4,500 permutations (900 issues x 5 different languages). This leads to a massive difference in accuracy. Obviously, this is an oversimplification of the whole thing but it illustrates the point.
What makes this different from Copilot and other code-gen tools is that they do not specialize in security and we’ve seen them inadvertently introduce security issues unbeknownst to the engineer. Additionally, they do not integrate into existing scanning tools that companies are using to resolve those issues. So unless a developer is working on every part of the product, they’re unable to clear security backlogs, which can be in the thousands of tickets.
As for security scanners, the current market is flooded with tools that report and overwhelm security teams and are not effective at fixing what they’re reporting. Most vulnerability scanners do not remediate issues, and if they do they’re mostly limited to upgrading packages from one version to another to reduce a CVSS. If they do offer CWE remediation capabilities their success rates are very low because they’re often based on traditional AI methodologies. Additionally, they do not integrate with each other because they want to only serve their own findings. Enterprises use multiple tools like Snyk, Semgrep, Checkmarx, but also have a penetration testing program, and a bug bounty program. They need a solution that consolidates across their existing tools. They also use Github, Gitlab and Bitbucket for their code repository.
We’re offering a free tier for smaller teams and priced tiers. We believe we can reduce 80% of the engineering effort for security fixes, which would equate to at least $10m a year for enterprises.
We’re really excited to share this with you all and we’d love any thoughts, feedback, and comments!
Nice tool, only unfortunate name, consider changing it. Already very well know security tool named hydra https://github.com/vanhauser-thc/thc-hydra been around since 2001. Then facebook went ahead and named their config tool hydra https://github.com/facebookresearch/hydra on top of it. Like we get it, hydra popular mythology but we could use more original naming for tools
Project mention: Any self-host FOSS suites for running phishing testing campaigns? | /r/selfhosted | 2023-05-21I couldn't find anything named reEngine, but I found reNgine ( https://yogeshojha.github.io/rengine/ ) which I think is what you meant.
At the beginning, I read all things in here https://owasp.org/www-project-web-security-testing-guide/, also gets familiars with owasp top 10. But later on, I focus on a few techniques only.
Did you try using https://trickest.com?
Project mention: Hacking WiFi 101: basic concepts, terminology, and a real-life example | dev.to | 2024-04-03Known tools (scripts) that are used to exploit WPS vulnerabilities are Reaver and Bully. Another great automated tool is Airgeddon. With some luck, you will be able to run these tools on vulnerable access points (or network repeaters, which are usually vulnerable to WPS attacks) and retrieve the key.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2024-04-03.
Pentesting related posts
- Show HN: Pfuzz, a web fuzzer following the Unix philosophy
- SSH-Snake: Automated SSH-Based Network Traversal
- Domainim: A fast and comprehensive tool for organizational network scanning
- Fast web fuzzer written in Go
- What are polyglots and how to use them as a pentester
- Stowaway -- Multi-hop Proxy Tool for pentesters
- Google Play rolls out an "Independent security review" badge for apps
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Index
What are some of the best open-source Pentesting projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | SQLMap | 30,495 |
| 2 | Ciphey | 16,920 |
| 3 | RustScan | 12,106 |
| 4 | spiderfoot | 11,670 |
| 5 | ffuf | 11,382 |
| 6 | owasp-mastg | 11,254 |
| 7 | dirsearch | 11,179 |
| 8 | social-analyzer | 11,054 |
| 9 | juice-shop | 9,491 |
| 10 | thc-hydra | 8,980 |
| 11 | gobuster | 8,974 |
| 12 | Red-Teaming-Toolkit | 8,440 |
| 13 | hacktricks | 8,125 |
| 14 | pupy | 8,116 |
| 15 | Sn1per | 7,501 |
| 16 | rengine | 6,659 |
| 17 | wstg | 6,638 |
| 18 | cve | 6,049 |
| 19 | airgeddon | 5,990 |
| 20 | hetty | 5,906 |
| 21 | awesome-web-hacking | 5,415 |
| 22 | Infosec_Reference | 5,354 |
| 23 | DefaultCreds-cheat-sheet | 5,256 |
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