1527 matches found
Mitigate or Fail: How Risk Management Shapes Cybersecurity Competency
Contemporary cybersecurity governance assumes that professionals apply risk reasoning. Yet major organisational failures persist despite investment in tools, staffing, and credentials. This study investigates the structural source of that paradox. Cybersecurity speaks the language of risk, but it...
EUVD-2026-24752
A flaw was found in InstructLab. The linuxtrain.py script hardcodes trustremotecode=True when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run ilab train/download/generate with a specially crafted malicious model...
CVE-2026-6859
A flaw was found in InstructLab. The linuxtrain.py script hardcodes trustremotecode=True when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run ilab train/download/generate with a specially crafted malicious model...
Security Is Relative: Training-Free Vulnerability Detection Via Multi-Agent Behavioral Contract Synthesis
Deep learning for vulnerability detection has shown promising results on early benchmarks, but recent evaluations reveal catastrophic degradation: models achieving F1 0.68 on legacy datasets collapse to 0.031 under strict deduplication. We identify the root cause as the semantic ambiguity problem...
Privacy-Aware Machine Unlearning with SISA for Reinforcement Learning-Based Ransomware Detection
Ransomware detection systems increasingly rely on behavior-based machine learning to address evolving attack strategies. However, emerging privacy compliance, data governance, and responsible AI deployment demand not only accurate detection but also the ability to efficiently remove the influence...
ConGISATA: A Framework for Continuous Gamified Information Security Awareness Training and Assessment
The incidence of cybersecurity attacks utilizing social engineering techniques has increased. Such attacks exploit the fact that in every secure system, there is at least one individual with the means to access sensitive information. Since it is easier to deceive a person than it is to bypass the...
EUVD-2026-22979
The vulnerability, if exploited, could allow an unauthenticated miscreant to perform operations intended only for Simulator Instructor or Simulator Developer Administrator roles, resulting in privilege escalation with potential for modification of simulation parameters, training configuration, an...
CVE-2026-5387
The vulnerability, if exploited, could allow an unauthenticated miscreant to perform operations intended only for Simulator Instructor or Simulator Developer Administrator roles, resulting in privilege escalation with potential for modification of simulation parameters, training configuration, an...
Incident response for AI: Same fire, different fuel
In this article 1. The fundamentals still hold 2. Where AI changes the equation 3. Closing the gaps in telemetry, tooling, and response 4. The human dimension 5. Looking ahead When a traditional security incident hits, responders replay what happened. They trace a known code path, find the defect...
CVE-2026-5387
The CVE-2026-5387 entry concerns AVEVA Pipeline Simulation where an unauthenticated actor can perform operations intended for Simulator Instructor/Developer (Administrator) roles, leading to privilege escalation and potential modification of simulation parameters, training configuration, and trai...
CVE-2026-5387 AVEVA Pipeline Simulation Missing Authorization
The vulnerability, if exploited, could allow an unauthenticated miscreant to perform operations intended only for Simulator Instructor or Simulator Developer Administrator roles, resulting in privilege escalation with potential for modification of simulation parameters, training configuration, an...
CVE-2026-5387
The vulnerability, if exploited, could allow an unauthenticated miscreant to perform operations intended only for Simulator Instructor or Simulator Developer Administrator roles, resulting in privilege escalation with potential for modification of simulation parameters, training configuration, an...
CVE-2026-5387 AVEVA Pipeline Simulation Missing Authorization
The vulnerability, if exploited, could allow an unauthenticated miscreant to perform operations intended only for Simulator Instructor or Simulator Developer Administrator roles, resulting in privilege escalation with potential for modification of simulation parameters, training configuration, an...
PT-2026-33078
Name of the Vulnerable Software and Affected Versions AVEVA Pipeline Simulation affected versions not specified Description An issue exists where unauthenticated network access allows a remote attacker to perform operations intended only for Simulator Instructor or Simulator Developer Administrat...
DeepGuard Secure Code Generation
Large Language Models LLMs for code generation can replicate insecure patterns from their training data. To mitigate this, a common strategy for security hardening is to fine-tune models using supervision derived from the final transformer layer. However, this design may suffer from a final-layer...
cyber-punk
Cyber Punk Security Vulnerability Scanner A Claude Code plu...
Follow My Eyes: Backdoor Attacks on VLM-Based Scanpath Prediction
Scanpath prediction models forecast the sequence and timing of human fixations during visual search, driving foveated rendering and attention-based interaction in mobile systems where their integrity is a first-class security concern. We present the first study of backdoor attacks against VLM-bas...
SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training
The field of cybersecurity is confronted with two interrelated challenges: a worldwide deficit of qualified practitioners and ongoing human-factor weaknesses that account for the bulk of security incidents. To tackle these issues, we present SentinelSphere, a platform driven by artificial...
RUSTSEC-2026-0083 zantetsu-trainer is unmaintained
The zantetsu-trainer crate is no longer maintained. The ML training infrastructure it contained was removed as part of the zantetsu 0.2 release, which replaced the neural parser with a pure heuristic engine. A tombstone version 0.2.0 has been published and 0.1.4 has been yanked. There is no...
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...