shfz

shfz 시나리오 기반 웹 애플리케이션 퍼징 도구로, 유전 알고리즘을 통한 퍼즈 생성을 지원합니다. 특징 쉽게 커스터마이즈 가능 – JavaScript/TypeScript로 퍼징 시나리오를 스크립팅하여 테스트 서드파티 패키지 – 퍼징 시나리오 스크립트에서 사용 가능 유전 알고리즘 기반 퍼즈 생성으로 코드 커버리지 향상 CI와의 높은 친화성 – 자동으로 GitHub 이슈에 보고서 게시 트레이서의 자동 오류 탐지 로 버그 수정 지원 설치 Releases 페이지에서 바이너리를 다운로드하거나 소스에서 컴파일하세요. Linux amd6...

frelatage

pip3 install frelatage 세계가 마땅히 가져야 할 Python 퍼저 설치 | 작동 방식 | 기능 | Frelatage 사용법 | 설정 Frelatage는 Python 코드를 퍼징하는 데 사용할 수 있는 커버리지 기반 Python 퍼징 라이브러리입니다. Frelatage의 개발은 AFL/AFL++, Atheris 및 PythonFuzz를 비롯한 다양한 다른 퍼저에서 영감을 받았습니다. 이 프로젝트의 주요 목적은 이러한 퍼저들의 최고 기능을 활용하여 하나의 새로운 도구로 통합함으로써 Python 애플리케이션을...

AFL

american fuzzy lop 当初は Michal Zalewski [email protected] によって開発されました。 このファイルを読む時間がない場合は、 QuickStartGuide.txt を参照してください。 1 ガイド付きファジングの課題 ファジングは、実世界のソフトウェアにおけるセキュリティ問題を特定するための、 最も強力で実証済みの戦略の1つです。これまでにセキュリティ上重要なソフトウェアで 発見されたリモートコード実行や権限昇格のバグの大部分は、 この手法によるものです。...

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...