Information Theoretic Adversarial Training of Large Language Models

Large language models LLMs remain vulnerable to adversarial prompting despite advances in alignment and safety, often exhibiting harmful behaviors under novel attack strategies. While adversarial training can improve robustness, existing approaches are computationally expensive and difficult to...

CVE-2026-7694 Acrel Electrical ECEMS Enterprise Microgrid Energy Efficiency Management System elecMaxMinAvgValue sql injection

A flaw has been found in Acrel Electrical ECEMS Enterprise Microgrid Energy Efficiency Management System 1.3.0. The impacted element is an unknown function of the file /SubstationWEBV2/main/elecMaxMinAvgValue. Executing a manipulation of the argument fCircuitids can lead to sql injection. The...

MARD: A Multi-Agent Framework for Robust Android Malware Detection

With the rapid evolution of Android applications, traditional machine learning-based detection models suffer from concept drift. Additionally, they are constrained by shallow features, lacking deep semantic understanding and interpretability of decisions. Although Large Language Models LLMs...

Ubuntu 16.04 LTS / 18.04 LTS : GStreamer Bad Plugins vulnerabilities (USN-8205-1)

The remote Ubuntu 16.04 LTS / 18.04 LTS host has packages installed that are affected by multiple vulnerabilities as referenced in the USN-8205-1 advisory. It was discovered that multiple plugins in GStreamer contained arithmetic overflows. An attacker could possibly use this issue to cause...

RowHammer Vulnerability Counter (RVC): Redefining RowHammer Detection with Victim-Centric Tracking

The Rowhammer vulnerability poses an increasing challenge with newer generations of DRAM and aggressive technology scaling. Existing mitigation techniques, such as Graphene, Twice, and Hydra, primarily rely on tracking activation counts for each row and issuing refreshes when a row reaches a...

Strategic Heterogeneous Multi-Agent Architecture for Cost-Effective Code Vulnerability Detection

Automated code vulnerability detection is critical for software security, yet existing approaches face a fundamental trade-off between detection accuracy and computational cost. We propose a heterogeneous multi-agent architecture inspired by game-theoretic principles, combining cloud-based LLM...

PVAC: A RowHammer Mitigation Architecture Exploiting Per-Victim-Row Counting

As DRAM scaling exacerbates RowHammer, DDR5 introduces per-row activation counting PRAC to track aggressor activity. However, PRAC indiscriminately increments counters on every activation -- including benign refreshes -- while relying solely on explicit RFM operations for resets. Consequently,...

Cybersecurity Metrics Every CISO Should Report to the Board

Cybersecurity Metrics Every CISO Should Report to the Board After twenty years of leading security teams and presenting to boards at companies like Tripwire and RiskIQ, I can tell you this: the metrics that matter to your SOC team are not the metrics that matter in the boardroom. Boards do not wa...

How Managed Databases Are Transforming Today’s IT Landscape

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[SECURITY] Fedora 42 Update: rust-tar-0.4.45-1.fc42

A Rust implementation of a TAR file reader and writer. This library does not currently handle compression, but it is abstract over all I/O readers and writers. Additionally, great lengths are taken to ensure that the entire contents are never required to be entirely resident in memory all at once...

Finding Memory Leaks in C/C++ Programs Via Neuro-Symbolic Augmented Static Analysis

Memory leaks remain prevalent in real-world C/C++ software. Static analyzers such as CodeQL provide scalable program analysis but frequently miss such bugs because they cannot recognize project-specific custom memory-management functions and lack path-sensitive control-flow modeling. We present...

Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs

Large Language ModelsLLMs are widely deployed, yet are vulnerable to jailbreak prompts that elicit policy-violating outputs. Although prior studies have uncovered these risks, they typically treat all tokens as equally important during prompt mutation, overlooking the varying contributions of...

ALPINE-CVE-2026-33164

libde265 is an open source implementation of the h.265 video codec. Prior to version 1.0.17, a malformed H.265 PPS NAL unit causes a segmentation fault in picparameterset::setderivedvalues. This issue has been patched in version 1.0.17...

Why Image Format Conversion Is Becoming a Practical Issue in Web Security and Performance

WebP boosts performance raises compatibility issues, making image format conversion to PNG essential for secure, flexible, and efficient web workflows today...

Benchmarking Post-Quantum Cryptography on Resource-Constrained IoT Devices: ML-KEM and ML-DSA on ARM Cortex-M0+

The migration to post-quantum cryptography is urgent for Internet of Things devices with 10-20 year lifespans, yet no systematic benchmarks exist for the finalised NIST standards on the most constrained 32-bit processor class. This paper presents the first isolated algorithm-level benchmarks of...

EUVD-2026-12121

GStreamer H.266 Codec Parser Stack-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GStreamer. Interaction with this library is required to exploit this vulnerability but attack vectors may...

EUVD-2026-11300

A vulnerability was determined in strukturag libheif up to 1.21.2. This affects the function vvdecpushdata2 of the file libheif/plugins/decodervvdec.cc of the component HEIF File Parser. Executing a manipulation of the argument size can lead to out-of-bounds read. The attack needs to be launched...

Systematic Scaling Analysis of Jailbreak Attacks in Large Language Models

Large language models remain vulnerable to jailbreak attacks, yet we still lack a systematic understanding of how jailbreak success scales with attacker effort across methods, model families, and harm types. We initiate a scaling-law framework for jailbreaks by treating each attack as a...

ProvAgent: Threat Detection Based on Identity-Behavior Binding and Multi-Agent Collaborative Attack Investigation

Advanced Persistent Threats APTs pose critical challenges to modern cybersecurity due to their multi-stage and stealthy nature. While provenance-based detection approaches show promise in capturing causal attack semantics, current threat provenance practices face two paradoxical issues: 1 expert...

Scores Know Bobs Voice: Speaker Impersonation Attack

Advances in deep learning have enabled the widespread deployment of speaker recognition systems SRSs, yet they remain vulnerable to score-based impersonation attacks. Existing attacks that operate directly on raw waveforms require a large number of queries due to the difficulty of optimizing in...