19 matches found
IOSSecuritySuite
⭐️ 想要成为认证的 iOS 应用安全工程师吗?⭐️ 了解我们实用且完全在线的课程:https://courses.securing.pl/courses/iase ISS 描述 作者 @r3ggi 🌏 iOS Security Suite 是一个高级且易于使用的平台安全与防篡改库,完全使用纯 Swift 编写!如果你正在为 iOS 开发,并且希望根据 OWASP MASVS 标准(第 v8 章)保护你的应用,那么这个库可以为你节省大量时间。🚀 ISS 检测的内容: 越狱 🧨 附加调试器 👨🏻🚀 应用是否在模拟器中运行 👽 设备上正在运行的常见逆向工程工具 🔭 设置 有四种方式可以开始使用...
bordair-detector
Bordair Detector Un detector de dos etapas para intentos de inyección de prompts y jailbreak en entradas de LLM. Una puerta de regex resuelve la gran mayoría del tráfico sin tocar el modelo; cualquier cosa ambigua pasa a un clasificador DeBERTa-v3 cuantizado que se ejecuta en ONNX. El mismo motor...
reasongate
ReasonGate Una puerta de enlace autoalojable que inspecciona el texto que entra y sale de un LLM y devuelve una decisión explicable de allow / flag / block con un registro de auditoría legible por máquina para cada llamada. Qué es esto El núcleo de código abierto se basa en reglas. Hace cuatro...
garak
garak, escáner de vulnerabilidades de LLM Kit de Red-teaming y Evaluación de IA Generativa garak verifica si un LLM puede ser inducido a fallar de una manera no deseada. garak busca alucinaciones, fugas de datos, inyección de prompts, desinformación, generación de toxicidad, jailbreaks y muchas...
aco-prompt-shield
aco-prompt-shield 🛡️ Detén los ataques de inyección de prompt antes de que lleguen a tu LLM — sin costes de API, funciona completamente en local, se integra en 2 minutos. La inyección de prompt es el riesgo de seguridad 1 para aplicaciones LLM. aco-prompt-shield detecta patrones de jailbreak...
Re-Triggering Safeguards within LLMs for Jailbreak Detection
This paper proposes a jailbreaking prompt detection method for large language models LLMs to defend against jailbreak attacks. Although recent LLMs are equipped with built-in safeguards, it remains possible to craft jailbreaking prompts that bypass them. We argue that such jailbreaking prompts ar...
Tracing the Dynamics of Refusal: Exploiting Latent Refusal Trajectories for Robust Jailbreak Detection
Representation Engineering typically relies on static refusal vectors derived from terminal representations. We move beyond this paradigm, demonstrating that refusal is a dynamic and sparse process rather than a localized outcome. Using Causal Tracing, we uncover the Refusal Trajectory-a persiste...
EUVD-2019-13873
Malware in sbrugna...
ARMOR: Aligning Secure and Safe Large Language Models Via Meticulous Reasoning
Large Language Models LLMs have demonstrated remarkable generative capabilities. However, their susceptibility to misuse has raised significant safety concerns. While post-training safety alignment methods have been widely adopted, LLMs remain vulnerable to malicious instructions that can bypass...
Test-Time Immunization: a Universal Defense Framework against Jailbreaks for (Multimodal) Large Language Models
While multimodal large language models LLMs have attracted widespread attention due to their exceptional capabilities, they remain vulnerable to jailbreak attacks. Various defense methods are proposed to defend against jailbreak attacks, however, they are often tailored to specific types of...
Bypassing Prompt Injection and Jailbreak Detection in LLM Guardrails
Large Language Models LLMs guardrail systems are designed to protect against prompt injection and jailbreak attacks. However, they remain vulnerable to evasion techniques. We demonstrate two approaches for bypassing LLM prompt injection and jailbreak detection systems via traditional character...
CVE-2019-4266
IBM Maximo Anywhere 7.6.2.0, 7.6.2.1, 7.6.3.0, and 7.6.3.1 does not have device jailbreak detection which could result in an attacker gaining sensitive information about the device. IBM X-Force ID: 160199...
CVE-2019-4266
IBM Maximo Anywhere 7.6.2.0, 7.6.2.1, 7.6.3.0, and 7.6.3.1 does not have device jailbreak detection which could result in an attacker gaining sensitive information about the device. IBM X-Force ID: 160199...
Design/Logic Flaw
IBM Maximo Anywhere 7.6.2.0, 7.6.2.1, 7.6.3.0, and 7.6.3.1 does not have device jailbreak detection which could result in an attacker gaining sensitive information about the device. IBM X-Force ID: 160199...
CVE-2019-4266
IBM Maximo Anywhere 7.6.2.0, 7.6.2.1, 7.6.3.0, and 7.6.3.1 does not have device jailbreak detection which could result in an attacker gaining sensitive information about the device. IBM X-Force ID: 160199...
Security Bulletin: IBM Maximo Anywhere does not have device jailbreak detection. (CVE-2019-4266)
Summary IBM Maximo Anywhere does not have device jailbreak detection which could result in an attacker gaining sensitive information about the device. Vulnerability Details CVEID: CVE-2019-4266 DESCRIPTION: IBM Maximo Anywhere does not have device jailbreak detection which could result in an...
Runtime Mobile Exploration: objection
objection is a runtime mobile exploration toolkit, powered by Frida . It was built with the aim of helping assess mobile applications and their security posture without the need for a jailbroken or rooted mobile device. The project’s name quite literally explains the approach as well, whereby...
[DVIA] Damn Vulnerable iOS Application
.png Damn Vulnerable iOS App DVIA is an iOS application that is damn vulnerable. Its main goal is to provide a platform to mobile security enthusiasts/professionals or students to test their iOS penetration testing skills in a legal environment. This application covers all the common...
Test your Mobile Hacking and Penetration testing Skills with Damn vulnerable iOS app
Smartphones are powerful and popular, with more than thousands of new mobile apps hitting the market everyday. Apps and mobile devices often rely on consumers' data, including private information, photos, and location, that can be vulnerable to data breaches, surveillance and real-world thieves...