FIASSE

Платформа для интеграции безопасности приложений в разработку программного обеспечения FIASSE Примечание: Этот репозиторий находится в стадии активной разработки. Вклад приветствуется! Обзор TL;DR: пожалуйста, прочитайте DOC. Изучите веб-сайт FIASSE. Посетите GitHub Discussions, чтобы внести свой...

Covert Assistance: Helpful LLM Agents Evade Oversight in Multi-Agent Systems

As multi-agent systems enter high-stakes domains, the possibility that agents may circumvent safety boundaries is a growing concern. Prior work has examined this risk primarily in adversarial settings, where agents are instructed or rewarded to communicate covertly and evade oversight. We show th...

Exploring the Role of Security Experience and ChatGPT Usage Strategies on Secure Software Engineering Education

The rapid adoption of Large Language Models LLMs is reshaping software engineering education, but their role in secure software engineering education remains underexplored. We report an exploratory empirical study of how 26 graduate students in a part-time MSc Cybersecurity programme used ChatGPT...

FIASSE v1.1

A Framework for Integrating Application Security into Software Engineering FIASSE Note: This repository is an ongoing work. Contributions are welcome! Overview TL;DR: please read the DOC. Explore FIASSE website. Visit GitHub Discussions to contribute. This repository contains resources and...

Twin Agent: Context Residual Compression for Privilege Separated Agents

Large language model LLM agents are vulnerable to security risks, such as prompt injection attacks from untrusted context that manipulate downstream reasoning and tool use. Existing secure-by-design approaches mitigate this risk by separating untrusted observations from privileged execution and...

Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack

Agent benchmarks have become the de facto measure of frontier AI competence, guiding model selection, investment, and deployment. However, reward hacking, where agents maximize a score without performing the intended task, emerges spontaneously in frontier models without overfitting. We argue tha...

Zero Chaos: Scaling Detection Engineering at the Speed of Software, with Detection As Code

Every engineering team in your organization ships code through a pipeline. They branch, test, review, and deploy. If something breaks, they roll back. If someone asks "what changed?", the answer is in the commit history. This isn't heroic discipline to process; it's just how software gets built...

A Bootiful Podcast: Nate Schutta the fundamentals of software engineering

Hi Spring fans, and happy holidays! I'm delighted to be joined again on this episode by my friend and fellow harbinger of doom in the best possible way, Nate Schutta — co-author of the wonderful book Foundations of Software Engineering!...

A Bootiful Podcast: Dan Vega on the fundamentals of software engineering

Hi, Spring fans! I'm so excited to chat with fellow Spring developer advocate Dan Vega about his new book, Fundamentals of Software Engineering...

MASCOT: Analyzing Malware Evolution through a Well-Curated Source Code Dataset

In recent years, the explosion of malware and extensive code reuse have formed complex evolutionary connections among malware specimens. The rapid pace of development makes it challenging for existing studies to characterize recent evolutionary trends. In addition, intuitive tools to untangle the...

From Prompts to Protocols: How Agentic Systems, MCP, Vibe Coding, and Schema-Aware Tools Are Rewiring Software Engineering

Modern software engineering faces growing complexity across codebases, environments, and workflows. Traditional tools, although effective, rely heavily on…...

EUVD-2023-58938

Malicious code in bioql PyPI...

EUVD-2024-0033

Malicious code in bioql PyPI...

EUVD-2025-23651

Malicious code in bioql PyPI...

AI wrote my code and all I got was this broken prototype

Welcome to this week's edition of the Threat Source newsletter. Vulnerabilities within software are a persistent challenge. Software engineers inadvertently tend to make the same mistakes repeatedly, with the same entries appearing in the annual top 25 list of Common Weakness Enumerations each...

CVE-2025-45512

A lack of signature verification in the bootloader of DENX Software Engineering Das U-Boot U-Boot v1.1.3 allows attackers to install crafted firmware files, leading to arbitrary code execution...

UBUNTU-CVE-2025-45512

A lack of signature verification in the bootloader of DENX Software Engineering Das U-Boot U-Boot v1.1.3 allows attackers to install crafted firmware files, leading to arbitrary code execution...

CVE-2025-45512

A lack of signature verification in the bootloader of DENX Software Engineering Das U-Boot U-Boot v1.1.3 allows attackers to install crafted firmware files, leading to arbitrary code execution...

CVE-2025-45512

A lack of signature verification in the bootloader of DENX Software Engineering Das U-Boot U-Boot v1.1.3 allows attackers to install crafted firmware files, leading to arbitrary code execution...

EditLord: Learning Code Transformation Rules for Code Editing

Code editing is a foundational task in software development, where its effectiveness depends on whether it introduces desired code property changes without changing the original code's intended functionality. Existing approaches often formulate code editing as an implicit end-to-end task, omittin...