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Syzkaller Alternatives
Similar projects and alternatives to syzkaller
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tsbs
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
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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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AFLplusplus
The fuzzer afl++ is afl with community patches, qemu 5.1 upgrade, collision-free coverage, enhanced laf-intel & redqueen, AFLfast++ power schedules, MOpt mutators, unicorn_mode, and a lot more!
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Regshot
Regshot is a small, free and open-source registry compare utility that allows you to quickly take a snapshot of your registry and then compare it with a second one - done after doing system changes or installing a new software product
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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vuls
Agent-less vulnerability scanner for Linux, FreeBSD, Container, WordPress, Programming language libraries, Network devices
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wtf
wtf is a distributed, code-coverage guided, customizable, cross-platform snapshot-based fuzzer designed for attacking user and / or kernel-mode targets running on Microsoft Windows and Linux user-mode (experimental!). (by 0vercl0k)
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AlphaCodium
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
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ipa-medit
Memory modification tool for re-signed ipa supports iOS apps running on iPhone and Apple Silicon Mac without jailbreaking.
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osv
Discontinued Open source vulnerability DB and triage service. [Moved to: https://github.com/google/osv.dev] (by google)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better syzkaller alternative or higher similarity.
syzkaller reviews and mentions
Posts with mentions or reviews of syzkaller.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-17.
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Automated Unit Test Improvement Using Large Language Models at Meta
https://arxiv.org/abs/2402.09171 :
> This paper describes Meta's TestGen-LLM tool, which uses LLMs to automatically improve existing human-written tests. TestGen-LLM verifies that its generated test classes successfully clear a set of filters that assure measurable improvement over the original test suite, thereby eliminating problems due to LLM hallucination. [...] We believe this is the first report on industrial scale deployment of LLM-generated code backed by such assurances of code improvement.
Coverage-guided unit test improvement might [with LLMs] be efficient too.
https://github.com/topics/coverage-guided-fuzzing :
- e.g. Google/syzkaller is a coverage-guided syscall fuzzer: https://github.com/google/syzkaller
- Gitlab CI supports coverage-guided fuzzing: https://docs.gitlab.com/ee/user/application_security/coverag...
- oss-fuzz, osv
Additional ways to improve tests:
Hypothesis and pynguin generate tests from type annotations.
There are various tools to generate type annotations for Python code;
> pytype (Google) [1], PyAnnotate (Dropbox) [2], and MonkeyType (Instagram) [3] all do dynamic / runtime PEP-484 type annotation type inference [4] to generate type annotations. https://news.ycombinator.com/item?id=39139198
icontract-hypothesis generates tests from icontract DbC Design by Contract type, value, and invariance constraints specified as precondition and postcondition @decorators:
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Differ: Tool for testing and validating transformed programs
https://google.github.io/clusterfuzz/setting-up-fuzzing/libf...
> OSS-Fuzz runs CloudFuzz[Lite?] for many open source repos and feeds OSV OpenSSF Vulnerability Format: https://github.com/google/osv#current-data-sources
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Google/syzkaller https://github.com/google/syzkaller :
>> syzkaller is an unsupervised coverage-guided kernel fuzzer. Supported OSes: Akaros, FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, Windows
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ghidra-patchdiff-correlator:
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Fuzz Testing Is the Best Thing to Happen to Our Application Tests
The key to modern fuzzing is feedback, usually some kind of coverage testing of the program under test. This allows the fuzzer to be much smarter about how it finds new code paths, and makes fuzzing find bugs a lot quicker.
Google have a project to do fuzzing on Linux system calls using coverage feedback: https://github.com/google/syzkaller
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Is there a Linux user-space program that causes execution through every kernel function path and context?
Utilities that try to exercise ("fuzz") an interface with the intent of discovering bugs are called "fuzzers". The tool that comes to mind is syzkaller.
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Those scary warnings of juice jacking in airports and hotels? They’re nonsense
It's true that USB is probably a less desirable attack surface than modems, because it actually requires the user to physically connect their device to a malicious device, but I wouldn't discount it as impractical and unlikely to happen in the wild. There's a reason some of the more famous malware and spyware used to spread/attack over USB. Google actually does USB driver fuzzing and the amount of potentially devastating vulnerabilities is staggering.
- Linux System Call Table – Chromiumos
- Audit of Linux kernel code
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A note from our sponsor - SaaSHub
www.saashub.com | 10 May 2024
Stats
Basic syzkaller repo stats
7
5,143
9.8
1 day ago
google/syzkaller is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of syzkaller is Go.
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