rosenbridge

project:rosenbridge : hardware backdoors in x86 CPUs github.com/xoreaxeaxeax/rosenbridge // domas // @xoreaxeaxeax Overview project:rosenbridge reveals a hardware backdoor in some desktop, laptop, and embedded x86 processors. The backdoor allows ring 3 userland code to circumvent processor...

F5-BIG-IP-Remote-Code-Execution-Vulnerability-CVE-2022-1388-A-Case-Study

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nosqli-flintcms

nosqli-flintcms Blind noSQL injection case study lab based on CVE-2018-3783 privilege escalation on flintcms 1.1.9. The vulnerability was originally discovered by Benoit Côté-Jodoin. You can read original report on HackerOne. Prerequisites docker-compose Limitation : We removed sendEmail function...

amlsec

Automated Security Risk Identification in Cyber-Physical Production Systems Using AutomationML-Based Engineering Data This prototype implements the methods presented in the following two publications: 1. Eckhart, M., Ekelhart, A., & Weippl, E. R. 2020. Automated Security Risk Identification Using...

Hacking-Vulnerability-CVE-2020-1938-Ghostcat

Hacking-Vulnerability-case-study-presentations-...

xz-utils-backdoor-case-study

XZ Utils Backdoor Technical Case Study — How Maintainer Trust Became a Supply-Chain Execution Path When maintainer trust became the attack path. Overview CASE-002 reconstructs the XZ Utils / liblzma backdoor disclosed on 29 March 2024 as CVE-2024-3094. The report follows the operation from...

gitls

Enumerate git repository URL from list of URL / User / Org. Friendly to pipeline This tool is available when the repository, such as github, is included in the bugbounty scope. Sometimes specified as an org name or user name rather than a specific repository, you can use this tool to extract url...

128 Seconds to disruption: Microsoft Defender stops ransomware at QNET

In this article 1. What is device isolation? 2. Case study: QNET 3. Attack chain overview 4. MITRE ATT&CK techniques observed 5. References 6. Learn more Microsoft Defender's attack disruption now includes device isolation, a new response action that extends autonomous protection directly to...

128 Seconds to disruption: Microsoft Defender stops ransomware at QNET

In this article 1. What is device isolation? 2. Case study: QNET 3. Attack chain overview 4. MITRE ATT&CK techniques observed 5. References 6. Learn more Microsoft Defender's attack disruption now includes device isolation, a new response action that extends autonomous protection directly to...

Emerging Challenges in Threat Modeling for GenAI-Augmented Systems: A View from the Trenches

Threat modeling remains a central task in secure software engineering, as it enables the identification of security issues from system architectures. As Generative Artificial Intelligence GenAI becomes increasingly pervasive across software systems, traditional threat modeling methods e.g., STRID...

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response

Cyber-capable AI agents combine language models with tools, memory, and execution en- vironments to perform multi-step offensive-security tasks. Existing work separately measures cyber capability and catalogs attacks against agent components, but provides less guidance on containing a capable age...

Device Code Phishing: Turning a Convenience Feature Into an MFA Bypass

Device code phishing abuses a legitimate authentication feature designed for devices with limited input capabilities. This article breaks down how the technique works, examines a recent observed case, and outlines the layered security measures organizations can implement...

MoLIFE: Methodology, Technologies, and Challenges for Mobile Live Intelligent Forensics Examination

Nowadays, mobile forensics is less explored in Digital Forensics case analysis due to the increase in data protection mechanisms implemented by tech companies i.e., Google for Android and Apple for iOS. For example, the physical acquisition or analysis of specific directories under super-user...

Toward Securing AI Agents like Operating Systems

Autonomous agents based on large language models LLMs are rapidly emerging as a general-purpose technology, with recent systems such as OpenClaw extending their capabilities through broad tool use, third-party skills, and deeper integration into user environments. At the same time, these agentic...

MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study

LLMs are increasingly deployed as autonomous agents with access to tools, databases, and external services, yet practitioners across different sectors lack systematic methods to assess how known threat classes translate into concrete risks within a specific agentic deployment. We present MATRA, a...

Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours

AI systems are entering critical domains like healthcare, finance, and defense, yet remain vulnerable to adversarial attacks. While AI red teaming is a primary defense, current approaches force operators into manual, library-specific workflows. Operators spend weeks hand-crafting workflows -...

Security Attack and Defense Strategies for Autonomous Agent Frameworks: A Layered Review with OpenClaw As a Case Study

Autonomous agent frameworks built upon large language models LLMs are evolving into complex, tool-integrated, and continuously operating systems, introducing security risks beyond traditional prompt-level vulnerabilities. As this paradigm is still at an early stage of development, a timely and...

SoK: Reshaping Research on Network Intrusion Detection Systems

Network Intrusion Detection Systems NIDS have been studied for decades. Hundreds of papers have, e.g., proposed ways to enhance, harden or bypass NIDS. However, the findings of prior literature are hardly reflected in real-world operational contexts. Such a disconnection is problematic for resear...

PT-2026-33634

Name of the Vulnerable Software and Affected Versions UltraDAG version 0.1 Description A non-council attacker can submit a signed 'SmartOp::Vote' transaction that successfully passes signature, nonce, and balance prechecks. However, the authorization check fails only after state mutation has...

A LINDDUN-Based Privacy Threat Modeling Framework for GenAI

As generative AI GenAI systems become increasingly prevalent across various technological stacks, the question of how such systems handle sensitive and personal data flows becomes increasingly important. Specifically, both the ability to harness and process large swaths of information as well as...