Making the Most of Leftovers: Improved Privacy Amplification for Quantum Key Distribution

The amount of secret key that can be obtained from a quantum key distribution run depends on both the physically observed error rates and the mathematical bounds used to certify security. For finite datasets, conservative bounds force users to discard a substantial fraction of the potentially...

AURA: Adaptive Uncertainty-Routed Analysis for Email Threat Detection

Email spam and phishing attacks remain a critical security threat. Adversaries increasingly exploit large language models to craft contextually convincing malicious messages, and existing spam detection systems often struggle to keep pace. Generalization across diverse and evolving attack scenari...

Capability-Based Planning for AI Crisis Preparedness

Capability-based planning drives preparedness in defense and homeland security, but has yet to be applied seriously to AI. Government AI preparations follow a predict-then-act paradigm: rank risks by likelihood and impact, then prepare for the highest expected harm. AI resists prediction: expert...

Malicious code in @grua/core (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 2b0588f2a4e3843bee403528cb8502b7c4207d2ce3179e51649b3951f8a8d2b5 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

MAL-2026-11036 Malicious code in streak-lib-math (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 507ee02c9717d3b99be47ab3415800fa71477716fa6be6b953cb07e0574066aa On import, index.mjs executes an obfuscated async IIFE whose sensitive strings process, fetch, fs/promises, target URL, path segments, payload filena...

CARE: Pre-Execution Command Verification for Shell-Executing LLM Agents

Large Language Model LLM agents are increasingly used for coding and terminal automation, making shell-command dispatch a high-stakes runtime control point. We study command-level pre-execution mediation for individual shell commands produced by LLM agents under bounded path context. Existing...

The Finite Key Effect of Side-Channel-Secure Quantum Key Distribution beyond Post-Selection Technique

By applying the framework of entropic uncertainty relation EUR and the Quantum Leftover Hash Lemma QLHL, we introduce a security-proof method for variable-length side-channel-secure SCS quantum key distribution QKD against coherent attacks. This method reframes composable security as a statistica...

MAL-2026-10555 Malicious code in @codex2005/logger-core (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware f14223b7d9b3039682e27372df81a552cc1b451a99d60d5ec79e0d4696a7b800 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

Malicious code in nottuff14 (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector ee11657fe74b7eef3139cfa2b9af453d122a4ae6a93964265354668c5c3b244b The tarball ships auto-publish.sh, a script that republishes the same payload under 100 distinct npm names ishowfeet1-ishowfeet20, nottuff1-nottuff30...

REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming

Large language models LLMs are increasingly applied to reverse-engineering tasks, and recent threat-intelligence reporting shows them operating inside live offensive-security workflows. Claims about their capability, however, outpace our ability to measure it. Existing benchmarks for LLM-assisted...

Agentic SABRE: An Uncertainty-Aware Neuro-Symbolic Multi-Agent Framework for Adaptive Ransomware Detection

Ransomware has evolved into a complex, adaptive, and fast-moving adversary category in which static signatures and monolithic classifiers fail to generalise under concept drift, evasion, and behavioural polymorphism. In this paper, we present Agentic SABRE Semantic-Behavioural Arbitration for...

MAL-2026-6055 Malicious code in @mastra/node-speaker (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 0d1fc45cd66b93c4e1a83c1743f1ac9ee3ebea854208b1a9cae83ee957ebfd83 @mastra/node-speaker is a PCM audio output library wrapping native mpg123 bindings. Its package.json declares 'easy-day-js' ^1.11.21 as a runtime...

Measuring Security without Fooling Ourselves: Why Benchmarking Agents Is Hard

The benchmarks used to evaluate AI agents in security-critical roles suffer from crucial weaknesses. Building on recent empirical evidence, we characterize three core challenges that undermine security evaluations: benchmark vulnerabilities, temporal staleness, and runtime uncertainty. We then...

Malicious code in is-really-odd (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 7f205432fff885dce7a6dee0e8d1267c65944d3e486abd566683caeaad833692 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

FIRCE: A Framework for Intrusion Response and Conformal Evaluation

Machine learning-based intrusion detection systems deployed in real-world environments frequently suffer from model degradation due to concept drift, where changes in traffic patterns invalidate training assumptions. To address this, we present FIRCE, a Framework for Intrusion Response and...

Malicious code in @mx-shared/utils (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 80722921f3ba7863b8f28031aa4edf777ce8e270fab10bcead75016a286cb125 The package @mx-shared/utils was found to contain malicious code. Source: ghsa-malware 30ead10eaa18cee42152061c23ee9a84c465e687911f78dd1ae0c613f1c2b1...

Conflict-Aware Robust Design for Covert Wireless Communications

Covert wireless communication aims to establish a reliable link while hiding the transmission from an adversary. In wireless settings, uncertainty plays a central role in this tradeoff: it can help mask the signal from a warden, but it also complicates robust system design. This raises a basic...

Malicious code in @emilgroup/billing-sdk-node (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 08d6e9b450a96ca7b1280b8799dd80c62762d7025a50ea25eabf80c69eb0bb9e The package @emilgroup/billing-sdk-node was found to contain malicious code. Source: ghsa-malware...

MAL-2026-1519 Malicious code in import-newlines (npm)

The package 'import-newlines' is part of the PhantomRaven supply chain attack campaign Wave 2. It uses a Remote Dynamic Dependency RDD technique: the published package appears benign but includes a URL-based dependency in package.json pointing to an attacker-controlled C2 server...

Deep Learning-Driven Friendly Jamming for Secure Multicarrier ISAC under Channel Uncertainty

Integrated sensing and communication ISAC systems promise efficient spectrum utilization by jointly supporting radar sensing and wireless communication. This paper presents a deep learning-driven framework for enhancing physical-layer security in multicarrier ISAC systems under imperfect channel...