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Top 23 Ctf Open-Source Projects
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x64dbg
An open-source user mode debugger for Windows. Optimized for reverse engineering and malware analysis.
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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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Awesome-Hacking-Resources
A collection of hacking / penetration testing resources to make you better!
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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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gef
GEF (GDB Enhanced Features) - a modern experience for GDB with advanced debugging capabilities for exploit devs & reverse engineers on Linux
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reverse-shell-generator
Hosted Reverse Shell generator with a ton of functionality. -- (Great for CTFs)
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SUDO_KILLER
A tool designed to exploit a privilege escalation vulnerability in the sudo program on Unix-like systems. It takes advantage of a specific misconfiguration or flaw in sudo to gain elevated privileges on the system, essentially allowing a regular user to execute commands as the root user.
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Awesome-Cybersecurity-Handbooks
A huge chunk of my personal notes since I started playing CTFs and working as a Red Teamer.
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cicd-goat
A deliberately vulnerable CI/CD environment. Learn CI/CD security through multiple challenges.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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"
The Pwntools library stands out as a sophisticated toolset for CTF enthusiasts and security researchers. It aids in creating and executing shellcode, designing payloads, and interacting with remote processes. For instance, the context feature allows developers to switch between different architectures effortlessly, while the 'tube' module streamlines the communication between local and remote processes. And it's not just limited to Linux; the library has support for various platforms including Windows, making it versatile and comprehensive.
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!
https://github.com/devploit/ctf-awesome-resources https://github.com/apsdehal/awesome-ctf
There is also GEF, which is widely used by the reverse engineering and CTF community.
https://github.com/hugsy/gef
During the last weekend, a small cyber security club at my town organized their first online CTF competition. I offered to take care of the infrastructure since I've been tinkering with CTFd for a couple of weeks and surprisingly everything went well! (Except two server outages that didn't last long 😁) That's why I'm here sharing with you the process of how I set up, configured, and monitored a CTF platform that handled 150+ users simultaneously totally FOR FREE 💲
* https://github.com/DominicBreuker/pspy
When you deploy them they just work. Compare that to compiled C++ code you often face issues with the deployment in my experience. And production machines usually do not ship compilers.
Open revshells.com in your browser. We want to open a reverse shell into the container. Get the public IP address from your EC2 machine and paste it into the IP address field. For port, choose 8888.
Project mention: Osint update of the Snoop Project tool search for user by nickname | news.ycombinator.com | 2024-01-02
Link: https://github.com/0xsyr0/Awesome-Cybersecurity-Handbooks
In this blog post, we want to explore what happens if a development machine gets compromised, granting an attacker write access to source code repositories. To experience this first-hand, we're using CI/CD Goat, and one of the CTF challenges to play through the scenario of an attacker gaining access to sensitive data within build infrastructure.
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).
Ctf related posts
- Host your own CTF for free 💸 (CTFd Setup Guide)
- How to keep an HTTP connection alive for 9 hours
- Ask HN: What's the big deal with Go (Golang)?
- Creating Competition Platforms
- Take the first steps to harden your Kubernetes cluster
- PwnTools for Exploit Development
- Cybersecurity Handbooks
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Index
What are some of the best open-source Ctf projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | x64dbg | 43,170 |
| 2 | Ciphey | 17,000 |
| 3 | Awesome-Hacking-Resources | 14,677 |
| 4 | pwntools | 11,447 |
| 5 | juice-shop | 9,522 |
| 6 | awesome-ctf | 9,174 |
| 7 | pwndbg | 6,700 |
| 8 | gef | 6,474 |
| 9 | MBE | 5,295 |
| 10 | CTFd | 5,303 |
| 11 | pspy | 4,510 |
| 12 | google-ctf | 4,251 |
| 13 | reverse-shell-generator | 2,683 |
| 14 | snoop | 2,683 |
| 15 | Stowaway | 2,415 |
| 16 | SUDO_KILLER | 2,092 |
| 17 | Awesome-Cybersecurity-Handbooks | 2,073 |
| 18 | one_gadget | 1,950 |
| 19 | hackthebox-writeups | 1,833 |
| 20 | cicd-goat | 1,807 |
| 21 | ofrak | 1,785 |
| 22 | ctf | 1,743 |
| 23 | MemLabs | 1,520 |
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