NotEnoughAV1Encodes VS oss-fuzz

I think notenoughav1encoders is another one but I had only just remembered that one. Might be worth a check out though

Tools like NEav1e (https://github.com/Alkl58/NotEnoughAV1Encodes/releases) will do a better job with AOMEnc encoding, maintaining a better quality and efficient CPU use. However, it may require a lot of disk space for encoding (depending on your chosen encoding configuration).

Handbrake has AV1 options in the nightly releases. There are lots of encoders that wrap FFmpeg into a GUI such as Fastflix, nmkoder, qencoder, or Not Enough AV1 Encoders.

The answer is in this log which was made by this program for anyone interrested https://github.com/Alkl58/NotEnoughAV1Encodes :

https://www.spiedigitallibrary.org/conference-proceedings-of...

It's good and getting gooder.

Just give it a try using https://github.com/Alkl58/NotEnoughAV1Encodes or whatever, svt-6 is fairly quick.

maybe you can try this https://github.com/Alkl58/NotEnoughAV1Encodes. Discovered when i read about AV1. So dont know it good or not.

> because the ifunc code was breaking with all sorts of build options and obviously caused many problems with various sanitizers

for example, https://github.com/google/oss-fuzz/pull/10667

Have you tried Googles grpc fuzzer?

https://github.com/google/oss-fuzz/blob/master/projects/grpc...

https://www.fda.gov/medical-devices/digital-health-center-ex...

oss-fuzz: https://github.com/google/oss-fuzz :

> We support the libFuzzer, AFL++, and Honggfuzz fuzzing engines in combination with Sanitizers, as well as ClusterFuzz, a distributed fuzzer execution environment and reporting tool.

> Currently, OSS-Fuzz supports C/C++, Rust, Go, Python, Java/JVM, and JavaScript code. Other languages supported by LLVM may work too. OSS-Fuzz supports fuzzing x86_64 and i386 builds.

I love fuzzing as a technique and use it quite regularly, but running AFL++ on even a single program occupies all threads of a high end AMD server for weeks. I'm running it locally so only paying for the electricity. If it was a cloud instance it would cost a small fortune. I think this is a reason it is not used more widely.

I will note that Google have a programme for doing fuzz testing on open source projects using computer from their cloud: https://google.github.io/oss-fuzz/

Yes, mosh has fuzz tests in oss-fuzz [1].

[1] https://github.com/google/oss-fuzz/tree/master/projects/mosh

We will explore how Jazzer is used to automatically generate malicious inputs for Java programs, and how it compares to Symflower, which can automatically generate unit tests to uncover bugs and errors in your code. With the help of Jazzer, many bugs - some of them even in the OpenJDK - were found already. Also, as of March 2021, Jazzer is officially part of OSS-Fuzz, Google's cloud fuzzing engine. It should be noted that Jazzer is a pure "bug detection" utility that finds reproducers for errors in user code. Symflower can do the same, but provides additional functionalities to boost developer productivity, like generating high coverage unit tests and providing test templates for the software developer or tester.