i-probably-didnt-backdoor-this
docker-bloodhound
i-probably-didnt-backdoor-this | docker-bloodhound | |
---|---|---|
5 | 1 | |
148 | 82 | |
- | - | |
0.0 | 3.5 | |
9 months ago | 11 months ago | |
Dockerfile | Dockerfile | |
Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
i-probably-didnt-backdoor-this
-
Can rustc generate identical binaries, with the same hash, from the same souce code?
It's well explored for Linux (I wrote documentation for this in the past: https://github.com/kpcyrd/i-probably-didnt-backdoor-this)
- I-probably-didnt-backdoor-this – experiment on supply-chain security
- A practical experiment on supply-chain security using reproducible builds
- Using Reproducible Builds to reproduce 3rd party packages
- i-probably-didnt-backdoor-this: Using Reproducible Builds to verify a Rust Binary
docker-bloodhound
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Getting Bloodhound and installed and working!
Maybe try one of the docker images, for example this one https://github.com/belane/docker-bloodhound. No need to do manual setup that way as sometimes dependencies can be hell :)
What are some alternatives?
nginx-waf - Nginx + ModSecurity WAF
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
platform_external_vanadium - Vanadium integration for GrapheneOS. See https://github.com/GrapheneOS/Vanadium for the Vanadium build configuration and patches.
vulhub - Pre-Built Vulnerable Environments Based on Docker-Compose
openvas-docker - A Docker container for Openvas
in-toto - in-toto is a framework to protect supply chain integrity.
gokart-action - Integrate GoKart security static analysis to GitHub Actions
sx - :vulcan_salute: Fast, modern, easy-to-use network scanner
fenix - Rust toolchains and rust-analyzer nightly for Nix [maintainer=@figsoda]
chophound - Some scripts to support with importing large datasets into BloodHound