shfz

shfz 一个基于场景的Web应用程序模糊测试工具，支持通过遗传算法生成模糊测试数据。 特性 易于定制 ：通过 JavaScript / TypeScript 编写模糊测试场景脚本 支持第三方包 ：可在模糊测试场景脚本中使用 遗传算法 ：模糊测试数据生成，提高代码覆盖率 与CI高度亲和 ：自动将报告发布到 GitHub Issue 追踪器的自动错误检测 ：有助于修复漏洞 安装 从 Releases 页面下载二进制文件，或从源码编译。 Linux amd64 $ curl -Lo shfz.tar.gz...

frelatage

pip3 install frelatage 世界应得的 Python 模糊测试工具 安装 | 工作原理 | 特性 | 使用 Frelatage | 配置 Frelatage 是一个基于覆盖率的 Python 模糊测试库，可用于模糊测试 Python 代码。Frelatage 的开发灵感来自各种其他模糊测试器，包括 AFL/AFL++、Atheris 和 PythonFuzz。该项目的主要目的是利用这些模糊测试器的最佳特性，将它们整合到一个新工具中，以高效地模糊测试 Python 应用程序。 免责声明 ：本项目处于 alpha 阶段，仍可能导致许多意外行为。Frelatage...

AFL

american fuzzy lop Desarrollado originalmente por Michal Zalewski [email protected]. Consulta QuickStartGuide.txt si no tienes tiempo de leer este archivo. 1 Retos del fuzzing guiado El fuzzing es una de las estrategias más potentes y probadas para identificar problemas de seguridad en...

American Fuzzy Lop plus plus 5.00c

Google's American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple but rock-solid instrumentation-guided genetic algorithm. afl++ is a superior fork to Google's afl. It has more speed, more and better mutations, more and better instrumentation, custom module support, etc...

American Fuzzy Lop plus plus 4.40c

Google's American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple but rock-solid instrumentation-guided genetic algorithm. afl++ is a superior fork to Google's afl. It has more speed, more and better mutations, more and better instrumentation, custom module support, etc...

American Fuzzy Lop plus plus 4.35c

Google's American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple but rock-solid instrumentation-guided genetic algorithm. afl++ is a superior fork to Google's afl. It has more speed, more and better mutations, more and better instrumentation, custom module support, etc...

Optimizing Epsilon Security Parameters in QKD

We investigate the optimization of epsilon-security parameters in quantum key distribution QKD, aiming to improve the achievable secure key rate under a fixed overall composable security level. For this purpose, we employ a continuous genetic algorithm CGA to optimize the epsilon-security...

Black-Box Guardrail Reverse-Engineering Attack

Large language models LLMs increasingly employ guardrails to enforce ethical, legal, and application-specific constraints on their outputs. While effective at mitigating harmful responses, these guardrails introduce a new class of vulnerabilities by exposing observable decision patterns. In this...

Genesis: Evolving Attack Strategies for LLM Web Agent Red-Teaming

As large language model LLM agents increasingly automate complex web tasks, they boost productivity while simultaneously introducing new security risks. However, relevant studies on web agent attacks remain limited. Existing red-teaming approaches mainly rely on manually crafted attack strategies...

American Fuzzy Lop plus plus 4.34c

Google's American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple but rock-solid instrumentation-guided genetic algorithm. afl++ is a superior fork to Google's afl. It has more speed, more and better mutations, more and better instrumentation, custom module support, etc...

ENJ: Optimizing Noise with Genetic Algorithms to Jailbreak LSMs

The widespread application of Large Speech Models LSMs has made their security risks increasingly prominent. Traditional speech adversarial attack methods face challenges in balancing effectiveness and stealth. This paper proposes Evolutionary Noise Jailbreak ENJ, which utilizes a genetic algorit...

A Quantum Genetic Algorithm-Enhanced Self-Supervised Intrusion Detection System for Wireless Sensor Networks in the Internet of Things

The rapid expansion of the Internet of Things IoT and Wireless Sensor Networks WSNs has significantly increased the attack surface of such systems, making them vulnerable to a wide range of cyber threats. Traditional Intrusion Detection Systems IDS often fail to meet the stringent requirements of...

Enhancing Software Vulnerability Detection through Adaptive Test Input Generation Using Genetic Algorithm

Software vulnerabilities continue to undermine the reliability and security of modern systems, particularly as software complexity outpaces the capabilities of traditional detection methods. This study introduces a genetic algorithm-based method for test input generation that innovatively...

Enhancing Jailbreak Attacks on LLMs Via Persona Prompts

Jailbreak attacks aim to exploit large language models LLMs by inducing them to generate harmful content, thereby revealing their vulnerabilities. Understanding and addressing these attacks is crucial for advancing the field of LLM safety. Previous jailbreak approaches have mainly focused on dire...

Stealix: Model Stealing Via Prompt Evolution

Model stealing poses a significant security risk in machine learning by enabling attackers to replicate a black-box model without access to its training data, thus jeopardizing intellectual property and exposing sensitive information. Recent methods that use pre-trained diffusion models for data...

MPMA: Preference Manipulation Attack against Model Context Protocol

Model Context Protocol MCP standardizes interface mapping for large language models LLMs to access external data and tools, which revolutionizes the paradigm of tool selection and facilitates the rapid expansion of the LLM agent tool ecosystem. However, as the MCP is increasingly adopted,...

Frelatage - The Python Fuzzer That The World Deserves

pip3 install frelatage Current release :0.0.7 Frelatage is a coverage-based Python fuzzing library which can be used to fuzz python code. The development of Frelatage was inspired by various other fuzzers, including AFL/AFL++, Atheris and PythonFuzz. The main purpose of the project is to take...

[SECURITY] Fedora 31 Update: spamassassin-3.4.4-1.fc31

SpamAssassin provides you with a way to reduce if not completely eliminate Unsolicited Commercial Email SPAM from your incoming email. It can be invoked by a MDA such as sendmail or postfix, or can be called from a procmail script, .forward file, etc. It uses a genetic-algorithm evolved scoring...

[SECURITY] Fedora 30 Update: spamassassin-3.4.4-1.fc30

SpamAssassin provides you with a way to reduce if not completely eliminate Unsolicited Commercial Email SPAM from your incoming email. It can be invoked by a MDA such as sendmail or postfix, or can be called from a procmail script, .forward file, etc. It uses a genetic-algorithm evolved scoring...

[SECURITY] Fedora 31 Update: spamassassin-3.4.3-1.fc31

SpamAssassin provides you with a way to reduce if not completely eliminate Unsolicited Commercial Email SPAM from your incoming email. It can be invoked by a MDA such as sendmail or postfix, or can be called from a procmail script, .forward file, etc. It uses a genetic-algorithm evolved scoring...