Unicorn is a lightweight multi-platform, multi-architecture CPU emulator framework.
6400e16f9211486fa5353b1870e6a82f8aa342e429718d1cbca08d609aaadc52nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
892447905e68f785ecdd26555a153712c8e50b29f65da72a7bfb4bc780a8f600Taken is a script that enables you to actively attempt to take over priorly assigned DNS to a given EC2 instance.
fdf27deda06e0def928d7a6493a1d072d1573f5e07ebf4c2374fe3549a48e290PacketFence is a network access control (NAC) system. It is actively maintained and has been deployed in numerous large-scale institutions. It can be used to effectively secure networks, from small to very large heterogeneous networks. PacketFence provides NAC-oriented features such as registration of new network devices, detection of abnormal network activities including from remote snort sensors, isolation of problematic devices, remediation through a captive portal, and registration-based and scheduled vulnerability scans.
449d451ef819c53dadfc8e60be9287c2bd963086168e96fe28b71e7cb61034e8Recon-Informer is a basic real-time anti-reconnaissance detection tool for offensive security systems, useful for penetration testers. It runs on Windows/Linux and leverages scapy.
631fc764a07667ba55ccff741ea4c5d703fb716cdd19dbee4f7067779fe7db39vPrioritizer enables users to understand the contextualized risk (vPRisk) on an asset-vulnerability relationship level across the organization by considering factors like base CVSS, asset accessibility, criticality, exploit availability, business sensitivity, and more. It helps teams to make more informed decisions about vulnerability remediation for assets.
ddfc0525abca69a2f048691e4d7df7dd91bf660fa018dbf31d3b7c8a0f820bc4nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
9b45c12efd74856693c87adc001b0781499f828a68c8e2f07f3d4e78b5d06ebanfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
6d2372dacd075c32fe92ccd45a399a4225be02d000b268795e8731d545e7cc3dnfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
2ad96c811a898ad3c579fb0ce3c2aedebfce2690d63ecad79fa0a2d447fa5245I2P is an anonymizing network, offering a simple layer that identity-sensitive applications can use to securely communicate. All data is wrapped with several layers of encryption, and the network is both distributed and dynamic, with no trusted parties. This is the source code release version.
dbccada6a353b54ceb844fe8cb0912c0363375a2f57214d23fcf463c4e6d2c4fnfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
b1cb0cc1fc01905d26063656a3e821c30b68ec59b356143669010fe4e3cb7005nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
39cd7a050a4b8af388a5f293a43e2cb0db7c92a1ebedd1ec1394e986ff94c75aAIEngine is a packet inspection engine with capabilities of learning without any human intervention. It helps network/security professionals to identify traffic and develop signatures for use them on NIDS, Firewalls, Traffic classifiers and so on.
799bac2e6f3d6d87c6ff98afc9bb5be9e6dfc175a8fce55552688bf68cfcb34dhaveged is a daemon that feeds the /dev/random pool on Linux using an adaptation of the HArdware Volatile Entropy Gathering and Expansion algorithm invented at IRISA. The algorithm is self-tuning on machines with cpuid support, and has been tested in both 32-bit and 64-bit environments. The tarball uses the GNU build mechanism, and includes self test targets and a spec file for those who want to build an RPM.
d17bd22fa1745daca5ac72e014ed3b0fe5720da4c115953124b1bf2a0aa2b04bKeystone is a lightweight multi-platform, multi-architecture assembler framework. Highlight features include multi-architecture, with support for Arm, Arm64 (AArch64/Armv8), Hexagon, Mips, PowerPC, Sparc, SystemZ, and X86 (include 16/32/64bit). It has a clean and lightweight architecture-neutral API. It's implemented in C/C++ languages, with bindings for Python, NodeJS, Ruby, Go and Rust available and also has native support for Windows and various Unix flavors.
c9b3a343ed3e05ee168d29daf89820aff9effb2c74c6803c2d9e21d55b5b7c24haveged is a daemon that feeds the /dev/random pool on Linux using an adaptation of the HArdware Volatile Entropy Gathering and Expansion algorithm invented at IRISA. The algorithm is self-tuning on machines with cpuid support, and has been tested in both 32-bit and 64-bit environments. The tarball uses the GNU build mechanism, and includes self test targets and a spec file for those who want to build an RPM.
0b8642515ea7189a1772cdb8072b98a6768cf9b963faf3cd664329fd79975ffaPacketFence is a network access control (NAC) system. It is actively maintained and has been deployed in numerous large-scale institutions. It can be used to effectively secure networks, from small to very large heterogeneous networks. PacketFence provides NAC-oriented features such as registration of new network devices, detection of abnormal network activities including from remote snort sensors, isolation of problematic devices, remediation through a captive portal, and registration-based and scheduled vulnerability scans.
f282c25e1ba4218e18ee0f0bb5de3553abfdb6a6a4119a35b2c1dbf24e5a1c6dhaveged is a daemon that feeds the /dev/random pool on Linux using an adaptation of the HArdware Volatile Entropy Gathering and Expansion algorithm invented at IRISA. The algorithm is self-tuning on machines with cpuid support, and has been tested in both 32-bit and 64-bit environments. The tarball uses the GNU build mechanism, and includes self test targets and a spec file for those who want to build an RPM.
7aad5cb7a423573e3cce0cb8b2e7a51bdc1772dcf2d1b4d20d7053c7e12bc869haveged is a daemon that feeds the /dev/random pool on Linux using an adaptation of the HArdware Volatile Entropy Gathering and Expansion algorithm invented at IRISA. The algorithm is self-tuning on machines with cpuid support, and has been tested in both 32-bit and 64-bit environments. The tarball uses the GNU build mechanism, and includes self test targets and a spec file for those who want to build an RPM.
8ac19e909bfd2ca54430773844f5e728f0d6f15e18091988e75c838b7343ca34haveged is a daemon that feeds the /dev/random pool on Linux using an adaptation of the HArdware Volatile Entropy Gathering and Expansion algorithm invented at IRISA. The algorithm is self-tuning on machines with cpuid support, and has been tested in both 32-bit and 64-bit environments. The tarball uses the GNU build mechanism, and includes self test targets and a spec file for those who want to build an RPM.
13a0d81bb395c6ebde70a6474452001d9f898d786ddf4872af9f9f96f9e99dedFirmware for the ChameleonMini RevE rebooted device. It compiles without errors or warnings and gives you more or less the same functionality as the stock firmware. This version compiles and gives you the same functionality (and more) as the original Chameleon Mini rebooted GUI.
c8266fe196f546d4d16d296b51880f962d5757eb75cde7ec36d62c7b822b94cfnfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
785a09ec25d1d6b816226ddaf146821a9306c1c995e631f4f1734f02f134b36cI2P is an anonymizing network, offering a simple layer that identity-sensitive applications can use to securely communicate. All data is wrapped with several layers of encryption, and the network is both distributed and dynamic, with no trusted parties. This is the source code release version.
ab0eb691b2753277738fe16ddc46349a24fd66b6323deae987f7c927272befd8nfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
ffa34b1c7ca0e499c57f124019001f7a6aefc22c2d512c68d9c2df8d0ba8e93enfstream is a Python package providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data processing framework for researchers providing data reproducibility across experiments.
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