Zercurity data services
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  • Applications (1)
  • Packages (0)
  • Vulnerabilities (0)

libunicorn2

Hashes
Lightweight CPU emulator framework Unicorn is a CPU emulator which is based on the CPU emulation code from QEMU. Unlike QEMU, it focuses on the emulation of CPU code without a full system emulation, but with the goal to make the emulation extensible and easy to integrate in custom tools. Unicorn provides language bindings for Python, Ruby, and Rust (among others) and has instrumentation hooks for various CPU events. This makes Unicorn well suited for malware analysis and reverse engineering. This package installs the shared library of Unicorn.
  • SHA256: e26ef4ac3d48fe348023e5f2988d02fd5eaccf34410673efea7207145f9f1b4c
  • SHA1: ac13af11ba29746b36989c1358ab72ba47f2dbe4
  • MD5: 0f74ad5b1da8b1dceaacde04c1d4e682
Information
  • Version: 2.0.1.post1-1build1
  • Filename: libunicorn2_2.0.1.post1-1build1_amd64.deb
  • Size: 18101
  • Type: DEB
  • Source: unicorn-engine
  • Architecture: AMD64
  • URL: https://unicorn-engine.org
  • Owner: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
  • Dependencies: libc6 (>= 2.34)

Applications

NameTypeArchSizeRisk
libunicorn.so.2
/usr/lib/x86_64-linux-gnu/libunicorn.so.2
185017680

Raw Object

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  "description": "Lightweight CPU emulator framework\nUnicorn is a CPU emulator which is based on the CPU emulation code from\nQEMU. Unlike QEMU, it focuses on the emulation of CPU code without a\nfull system emulation, but with the goal to make the emulation\nextensible and easy to integrate in custom tools. Unicorn provides\nlanguage bindings for Python, Ruby, and Rust (among others) and has\ninstrumentation hooks for various CPU events. This makes Unicorn well\nsuited for malware analysis and reverse engineering.\n\nThis package installs the shared library of Unicorn.",
  "url": "https://unicorn-engine.org",
  "version": "2.0.1.post1-1build1",
  "source": "unicorn-engine",
  "owner": "Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>",
  "dependencies": "libc6 (>= 2.34)",
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  "created_at": "2023-01-23T21:54:00+00:00",
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