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Top 16 Python Vulnerability Projects
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Then it is clear that the behavior of this for loop is either not important or not being tested. This could mean that the tests that you do have are not useful and can be deleted.
> For most non-trivial software the possible state-space is enormous and we generally don't/can't test all of it. So "not testing the (full) behaviour of your application is the default for any test strategy", if we could we wouldn't have bugs... Last I checked most software (including Google's) has plenty of bugs.
I have also used (setup, fixed findings) using https://google.github.io/clusterfuzz/ which uses coverage + properties to find bugs in the way C++ code handles pointers and other things.
> The next question would be let's say I spend my time writing the tests to resolve this (could be a lot of work) is that time better spent vs. other things I could be doing? (i.e. what's the ROI)
That is something that will depend largely on the team and the code you are on. If you are in experimental code that isn't in production, is there value to this? Likely not. If you are writing code that if it fails to parse some data correctly you'll have a huge headache trying to fix it? Likely yes.
The SRE workbook goes over making these calculations.
> Even ignoring that is there data to support that the quality of software where mutation testing was added improved measurably (e.g. less bugs files against the deployed product, better uptime, etc?)
I know that there are studies that show that tests reduce bugs but I do not know of studies that say that higher test coverage reduces bugs.
The goal of mutation testing isn't to drive up coverage though. It is to find out what cases are not being exercised and evaluating if they will cause a problem. For example mutation testing tools have picked up cases like this:
if (debug) print("Got here!"); -
Project mention: Looking for Tips on Open Sourcing a kubernetes security tool | reddit.com/r/kubernetes | 2022-10-12
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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Above that, a search for "cve scraper github" will give you tens of ready-made (Python) projects to build off. This one is almost complete: https://github.com/cve-search/cve-search
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dagda
a tool to perform static analysis of known vulnerabilities, trojans, viruses, malware & other malicious threats in docker images/containers and to monitor the docker daemon and running docker containers for detecting anomalous activities
Project mention: Open source container scanning tool to find vulnerabilities and suggest best practice improvements? | reddit.com/r/selfhosted | 2023-04-15https://github.com/eliasgranderubio/dagda 1k stars, updated July 27th, 2021
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cve-bin-tool
The CVE Binary Tool helps you determine if your system includes known vulnerabilities. You can scan binaries for over 200 common, vulnerable components (openssl, libpng, libxml2, expat and others), or if you know the components used, you can get a list of known vulnerabilities associated with an SBOM or a list of components and versions.
intel/cve-bin-tool - 2 pull requests
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CodiumAI
TestGPT | Generating meaningful tests for busy devs. Get non-trivial tests (and trivial, too!) suggested right inside your IDE, so you can code smart, create more value, and stay confident when you push.
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it is very easy to scan your entire dependency tree for known vulnerabilities for Nix, all the way up to a whole OS
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Project mention: DeepSource - From Vulnerability discovery to Exploit development | dev.to | 2022-11-01
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deadshot
Deadshot is a Github pull request scanner to identify sensitive data being committed to a repository
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Project mention: Where do you get your information regarding new vulnerabilities and security risks? | reddit.com/r/sysadmin | 2023-05-09
intothewild - https://github.com/gmatuz/inthewilddb/blob/master/rss.xml
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jake
Check your Python environments for vulnerable Open Source packages with OSS Index or Sonatype Nexus Lifecycle.
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ochrona-cli
A command line tool for detecting vulnerabilities in Python dependencies and doing safe package installs
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Project mention: WPHash - Fingerprinting WordPress Plugins, now in public beta and open to feedback and collaboration | reddit.com/r/netsec | 2022-09-04
Public vulnerability information regarding WordPress plugins is open to anyone who would like to use it, The data lives under https://github.com/cydave/wphash-vuln-data.
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Project mention: Show HN: Manage vuln. exploit data (VEX) in Git and merge with cyclonedx SBOM | news.ycombinator.com | 2023-01-13
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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 2023-05-25.
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A note from our sponsor - Sonar
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Index
What are some of the best open-source Vulnerability projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | clusterfuzz | 5,010 |
| 2 | kube-hunter | 4,270 |
| 3 | cve-search | 2,062 |
| 4 | rapidscan | 1,435 |
| 5 | opencve | 1,378 |
| 6 | dagda | 1,053 |
| 7 | cve-bin-tool | 739 |
| 8 | PocOrExp_in_Github | 646 |
| 9 | vulnix | 307 |
| 10 | vulnerable-apps | 202 |
| 11 | deadshot | 187 |
| 12 | inthewilddb | 133 |
| 13 | jake | 86 |
| 14 | ochrona-cli | 49 |
| 15 | wphash-vuln-data | 8 |
| 16 | bogrod | 3 |
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