graphw00f

标志致谢 Nick Aleks！ graphw00f - GraphQL 服务器指纹识别 目录 工作原理是什么？ 检测引擎 GraphQL 威胁矩阵 前置条件 安装 配置 使用示例 指纹识别 GraphQL 检测并指纹识别 GraphQL 支持与问题 资源 工作原理是什么？ graphw00f（灵感来源于 wafw00f）是针对 GQL 端点的 GraphQL 指纹识别工具，它通过发送一系列良性和畸形的查询来识别后台运行的 GraphQL 引擎。 graphw00f 将利用 GraphQL 威胁矩阵项目，提供每项技术默认提供的安全防御措施以及它们是默认开启还是关闭的洞察。...

graphql-threat-matrix

GraphQL 威胁矩阵 为什么使用 graphql-threat-matrix？ graphql-threat-matrix 专为漏洞赏金猎人、安全研究人员和黑客打造，旨在帮助发现多种 GraphQL 实现中的漏洞。 不同 GraphQL 实现如何解释和遵循 GraphQL 规范的差异，可能导致安全漏洞和独特的攻击向量。通过分析和比较不同实现中驱动安全风险的因素，GraphQL 生态系统可以做出更安全的部署决策，并共同提升所有实现的安全成熟度。 图例 ✅ - 默认启用 ⚠️ - 默认禁用 ❌ - 不支持 实现 | 验证 | 字段建议 | 查询深度限制 | 查询成本分析 | 自动持久化查询...

graphql-threat-matrix

GraphQL Threat Matrix Why graphql-threat-matrix? graphql-threat-matrix was built for bug bounty hunters, security researchers and hackers to assist with uncovering vulnerabilities across multiple GraphQL implementations. The differences in how GraphQL implementations interpret and conform to the...

Threat matrix: Mapping threats across cloud web applications

In this article 1. Overview 2. Technique Catalog 3. Privilege Escalation 4. Mitigation and protection guidance 5. References 6. Learn more Microsoft introduces the cloud web applications threat matrix, a MITRE ATT &CK-aligned framework that helps defenders understand, prioritize, and mitigate...

New whitepaper outlines the taxonomy of failure modes in AI agents

We are releasing a taxonomy of failure modes in AI agents to help security professionals and machine learning engineers think through how AI systems can fail and design them with safety and security in mind. The taxonomy continues Microsoft AI Red Team's work to lead the creation of systematizati...

Cloud storage security: What’s new in the threat matrix

Today, we announce the release of a second version of the threat matrix for storage services, a structured tool that assists in identifying and analyzing potential security threats on data stored in cloud storage services. The matrix, first released in April 2021 as detailed in the blog post Thre...

Microsoft AI Red Team building future of safer AI

An essential part of shipping software securely is red teaming. It broadly refers to the practice of emulating real-world adversaries and their tools, tactics, and procedures to identify risks, uncover blind spots, validate assumptions, and improve the overall security posture of systems. Microso...

DevOps threat matrix

The use of DevOps practices, which enable organizations to deliver software more quickly and efficiently, has been on the rise. This agile approach minimizes the time-to-market of new features and bug fixes. More and more companies are implementing DevOps services, each with its own infrastructur...

Mitigate threats with the new threat matrix for Kubernetes

Today, we are glad to release the third version of the threat matrix for Kubernetes, an evolving knowledge base for security threats that target Kubernetes clusters. The matrix, first released by Microsoft in 2020, was the first attempt to systematically cover the attack landscape of Kubernetes...

Mitigate threats with the new threat matrix for Kubernetes

Today, we are glad to release the third version of the threat matrix for Kubernetes, an evolving knowledge base for security threats that target Kubernetes clusters. The matrix, first released by Microsoft in 2020, was the first attempt to systematically cover the attack landscape of Kubernetes...

The evolution of a matrix: How ATT&CK for Containers was built

Note: The content of this post is being released jointly with the Center for Threat-Informed Defense. It is co-authored with Chris Ante and Matthew Bajzek. The Center post can be found here. As containers become a major part of many organizations’ IT workloads, it becomes crucial to consider the...

The evolution of a matrix: How ATT&CK for Containers was built

Note: The content of this post is being released jointly with the Center for Threat-Informed Defense. It is co-authored with Chris Ante and Matthew Bajzek. The Center post can be found here. As containers become a major part of many organizations’ IT workloads, it becomes crucial to consider the...

Center for Threat-Informed Defense teams up with Microsoft, partners to build the ATT&CK® for Containers matrix

The MITRE ATT&CK® for Containers matrix was published today, establishing an industry knowledge base of attack techniques associated with containerization and related technologies that are increasingly more ubiquitous in the current computing landscape. Microsoft is happy to have contributed and...

Secure containerized environments with updated threat matrix for Kubernetes

Last April, we released the first version of the threat matrix for Kubernetes. It was the first attempt to systematically map the threat landscape of Kubernetes. As we described in the previous post, we chose to adapt the structure of MITRE ATT&CK® framework which, became almost an industry...

Secure containerized environments with updated threat matrix for Kubernetes

Last April, we released the first version of the threat matrix for Kubernetes. It was the first attempt to systematically map the threat landscape of Kubernetes. As we described in the previous post, we chose to adapt the structure of MITRE ATT&CK® framework which, became almost an industry...

SoReL-20M: A Huge Dataset of 20 Million Malware Samples Released Online

Cybersecurity firms Sophos and ReversingLabs on Monday jointly released the first-ever production-scale malware research dataset to be made available to the general public that aims to build effective defenses and drive industry-wide improvements in security detection and response. "SoReL-20M"...

New Framework Released to Protect Machine Learning Systems From Adversarial Attacks

Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has released a new open framework that aims to help security analysts detect, respond to, and remediate adversarial attacks against machine learning ML systems. Called the Adversarial ML Threat Matrix, the initiative is an attempt to...

New Framework Released to Protect Machine Learning Systems From Adversarial Attacks

Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has released a new open framework that aims to help security analysts detect, respond to, and remediate adversarial attacks against machine learning ML systems. Called the Adversarial ML Threat Matrix, the initiative is an attempt to...

Cyberattacks against machine learning systems are more common than you think

Machine learning ML is making incredible transformations in critical areas such as finance, healthcare, and defense, impacting nearly every aspect of our lives. Many businesses, eager to capitalize on advancements in ML, have not scrutinized the security of their ML systems. Today, along with...

Cyberattacks against machine learning systems are more common than you think

Machine learning ML is making incredible transformations in critical areas such as finance, healthcare, and defense, impacting nearly every aspect of our lives. Many businesses, eager to capitalize on advancements in ML, have not scrutinized the security of their ML systems. Today, along with...