[ot][spam]gpt-4 completions

[Undescribed Horrific Abuse, One Victim & Survivor of Many]

{"time": "2023-03-21T12:35:00.408846", "lm": "openai", "model":
"gpt-4", "chat": true, "kwparams": {"temperature": 0, "top_p": 0},
"input": "Are you aware of any libraries that map instructions to
actions on virtual registers and ports so as to unify analysis of
binaries from different architectures? What would be the fastest way
to make such a library?", "output": "Yes, there are libraries and
frameworks that can help with mapping instructions to actions on
virtual registers and ports, allowing for the analysis of binaries
from different architectures. Some popular ones include:\n\n1.
Capstone: A disassembly framework that supports multiple
architectures, including ARM, MIPS, PowerPC, and x86. Capstone
provides a unified API for decoding instructions and accessing their
details. (https://www.capstone-engine.org/)\n\n2. Unicorn: A
lightweight multi-platform, multi-architecture CPU emulator framework
based on QEMU. Unicorn allows you to emulate a CPU, execute
instructions, and read/write registers and memory.
(https://www.unicorn-engine.org/)\n\n3. Keystone: A multi-architecture
assembler framework that supports various architectures like ARM,
MIPS, PowerPC, and x86. Keystone provides a unified API for assembling
instructions. (https://www.keystone-engine.org/)\n\n4. Radare2: A
reverse engineering framework that supports multiple architectures and
provides various tools for disassembly, debugging, and binary
analysis. (https://rada.re/n/)\n\n5. Ghidra: A software reverse
engineering suite developed by the National Security Agency (NSA).
Ghidra supports multiple architectures and provides a wide range of
analysis tools, including disassembly, decompilation, and scripting
support. (https://ghidra-sre.org/)\n\nThe fastest way to create such a
library would be to leverage one or more of these existing frameworks,
depending on your specific requirements. You can build a higher-level
abstraction layer on top of these libraries to unify the analysis of
binaries from different architectures. This will save you time and
effort compared to building a new library from scratch."}