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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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osv
Discontinued Open source vulnerability DB and triage service. [Moved to: https://github.com/google/osv.dev] (by google)
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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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Differential fuzzing is woefully underutilized -- our experience is that it consistently[1] finds[2] bugs that "traditional" fuzzing techniques struggle to discover, and that the primary obstacles to its adoption are harness and orchestration complexity. DIFFER goes a long way towards overcoming those obstacles!
(FD: My company.)
[1]: https://github.com/trailofbits/mishegos
[2]: https://x509-limbo.com/
Differential fuzzing is woefully underutilized -- our experience is that it consistently[1] finds[2] bugs that "traditional" fuzzing techniques struggle to discover, and that the primary obstacles to its adoption are harness and orchestration complexity. DIFFER goes a long way towards overcoming those obstacles!
(FD: My company.)
[1]: https://github.com/trailofbits/mishegos
[2]: https://x509-limbo.com/
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
.
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
.
ghidra-patchdiff-correlator:
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
.
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
.
ghidra-patchdiff-correlator:
A big problem is that proving that transformations preserve semantics is very hard. Formal methods has huge potential and I believe it will be a big part of the future, but it hasn't become mainstream yet. Probably a big reason why is that right now it's simply not practical: the things you can prove are much more limited than the things you can do, and it's a lot less work to just create a large testsuite.
Example: CompCert (https://compcert.org/), a formally-verified compiler AKA formally-verified sequence of semantics-preserving transformations from C code to Assembly. It's a great accomplishment, but few people are actually compiling their code with CompCert. Because GCC and LLVM are much faster[1], and have been used so widely that >99.9% of code is going to be compiled correctly, especially code which isn't doing anything extremely weird.
But as articles like this show, no matter how large a testsuite there may always be bugs, tests will never provide the kind of guarantees formal verification does.
[1] From CompCert, "Performance of the generated code is decent but not outstanding: on PowerPC, about 90% of the performance of GCC version 4 at optimization level 1"