Owner-Harm: A Missing Threat Model for AI Agent Safety

Existing AI agent safety benchmarks focus on generic criminal harm cybercrime, harassment, weapon synthesis, leaving a systematic blind spot for a distinct and commercially consequential threat category: agents harming their own deployers. Real-world incidents illustrate the gap: Slack AI...

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...

Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectories

The authors of this paper release Terminal Wrench, a subset of 331 terminal-agent benchmark environments, copied from the popular open benchmarks that are demonstrably reward-hackable. The data set includes 3,632 hack trajectories and 2,352 legitimate baseline trajectories across three frontier...

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...

Understanding Student Experiences with TLS Client Authentication

Mutual TLS mTLS provides strong, certificate-based authentication for both clients and servers, yet its adoption for user-facing websites remains rare. This paper presents a longitudinal study of mTLS usability, tracking 46 senior and graduate computer science students who configured client...

Exploit for Classic Buffer Overflow in Freefloat Freefloat_Ftp_Server

Estudio técnico de la vulnerabilidad CVE-2025-5548 Introdu...

Why Network Segmentation Projects Fail

Network segmentation is a foundational enterprise security control. Despite its recognized benefits, segmentation initiatives frequently fail in practice, and the field lacks a systematic empirical explanation for why these projects do not achieve their intended outcomes. This paper presents an...

SUSE CVE-2026-5663

A security flaw has been discovered in OFFIS DCMTK up to 3.7.0. This impacts the function executeOnReception/executeOnEndOfStudy of the file dcmnet/apps/storescp.cc of the component storescp. Performing a manipulation results in os command injection. Remote exploitation of the attack is possible...

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing

The rapid advancement of Large Language Models LLMs has created new opportunities for Automated Penetration Testing AutoPT, spawning numerous frameworks aimed at achieving end-to-end autonomous attacks. However, despite the proliferation of related studies, existing research generally lacks...

CVE-2026-5663 OFFIS DCMTK storescp storescp.cc executeOnEndOfStudy os command injection

A security flaw has been discovered in OFFIS DCMTK up to 3.7.0. This impacts the function executeOnReception/executeOnEndOfStudy of the file dcmnet/apps/storescp.cc of the component storescp. Performing a manipulation results in os command injection. Remote exploitation of the attack is possible...

CVE-2026-5663 OFFIS DCMTK storescp storescp.cc executeOnEndOfStudy os command injection

A security flaw has been discovered in OFFIS DCMTK up to 3.7.0. This impacts the function executeOnReception/executeOnEndOfStudy of the file dcmnet/apps/storescp.cc of the component storescp. Performing a manipulation results in os command injection. Remote exploitation of the attack is possible...

CVE-2026-5663

OFFIS DCMTK up to 3.7.0 contains a vulnerability in the storescp component (dcmnet/apps/storescp.cc: executeOnReception/executeOnEndOfStudy) that allows os command injection through manipulation. Remote exploitation is possible. A patch (edbb085e45788dccaf0e64d71534cfca925784b8) is available and ...

Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vulnerabilities

LLM agents with tool access can discover and exploit security vulnerabilities. This is known. What is not known is which features of a system prompt trigger this behaviour, and which do not. We present a systematic taxonomy based on approximately 10,000 trials across seven models, 37 prompt...

OFFIS DCMTK 操作系统命令注入漏洞

OFFIS DCMTK is a collection of libraries and applications developed by the German company OFFIS that implement most DICOM standards. It includes software for checking, processing, and converting DICOM image files, handling offline media, sending and receiving images via network connections, as we...

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories

Large language models LLMs are increasingly embedded in open-source software OSS ecosystems, creating complex interactions among natural language prompts, probabilistic model outputs, and execution-capable components. However, it remains unclear whether traditional vulnerability disclosure...

Why Third-Party Risk Is the Biggest Gap in Your Clients' Security Posture

The next major breach hitting your clients probably won't come from inside their walls. It'll come through a vendor they trust, a SaaS tool their finance team signed up for, or a subcontractor nobody in IT knows about. That's the new attack surface, and most organizations are underprepared for it...

Asking AI for personal advice is a bad idea, Stanford study shows

Stanford computer scientists just proved what therapists already suspected: AI chatbots will agree with almost anything you say to keep you happy. The researchers caught these systems validating dangerous decisions just to maintain user engagement. That's a worrying development, especially given...

Empowering Mobile Networks Security Resilience by Using Post-Quantum Cryptography

The transition to a cloud-native 5G Service-Based Architecture SBA improves scalability but exposes control-plane signaling to emerging quantum threats, including Harvest-Now, Decrypt-Later HNDL attacks. While NIST has standardized post-quantum cryptography PQC, practical, deployable integration ...

Debt behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild

AI coding assistants are now widely used in software development. Software developers increasingly integrate AI-generated code into their codebases to improve productivity. Prior studies have shown that AI-generated code may contain code quality issues under controlled settings. However, we still...

Machine Learning Transferability for Malware Detection

Malware continues to be a predominant operational risk for organizations, especially when obfuscation techniques are used to evade detection. Despite the ongoing efforts in the development of Machine Learning ML detection approaches, there is still a lack of feature compatibility in public...