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One of the biggest issues with LLM-generated code is a lack of trust, mostly stemming from a lack of understanding from not having written it personally, which leads to reduced confidence that the code handles edge cases properly.
If there’s one tool I like to use to shake some bugs loose fast, it’s fuzz testing. And luckily for Python users, getting started with fuzzing is pretty easy with Atheris.
Trail of Bits is excited to introduce Ruzzy, a coverage-guided fuzzer for pure Ruby code and Ruby C extensions. Fuzzing helps find bugs in software that processes untrusted input. In pure Ruby, these bugs may result in unexpected exceptions that could lead to denial of service, and in Ruby C extensions, they […]
La Maison-Blanche demande un audit sur la sécurité des logiciels open source. Partie 2/3 : audit automatique des projets.