KRONE: Hierarchical and Modular Log Anomaly Detection

Log anomaly detection is crucial for uncovering system failures and security risks. Although logs originate from nested component executions with clear boundaries, this structure is lost when they are stored as flat sequences. As a result, state-of-the-art methods risk missing true dependencies...

ACORN-IDS: Adaptive Continual Novelty Detection for Intrusion Detection Systems

Intrusion Detection Systems IDS must maintain reliable detection performance under rapidly evolving benign traffic patterns and the continual emergence of cyberattacks, including zero-day threats with no labeled data available. However, most machine learning-based IDS approaches either assume...

Empirical Analysis of Adversarial Robustness and Explainability Drift in Cybersecurity Classifiers

Machine learning ML models are increasingly deployed in cybersecurity applications such as phishing detection and network intrusion prevention. However, these models remain vulnerable to adversarial perturbations small, deliberate input modifications that can degrade detection accuracy and...

CVE-2026-25051

creationtimestamp| type| source ---|---|--- 2026-02-05 08:08:06+00:00| seen| https://www.acn.gov.it/portale/w/rilevate-vulnerabilita-in-n8n-1...

Ilevia EVE X1 Server

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to execute arbitrary shell commands and the disclosure of sensitive system information. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of these...

SUSE CVE-2025-71198

In the Linux kernel, the following vulnerability has been resolved: iio: imu: stlsm6dsx: fix iiochanspec for sensors without event detection The stlsm6dsxaccchannels array of struct iiochanspec has a non-NULL eventspec field, indicating support for IIO events. However, event detection is not...

SUSE CVE-2026-23100

In the Linux kernel, the following vulnerability has been resolved: mm/hugetlb: fix hugetlbpmdshared Patch series "mm/hugetlb: fixes for PMD table sharing incl. using mmugather", v3. One functional fix, one performance regression fix, and two related comment fixes. I cleaned up my prototype I...

Persistent Human Feedback, LLMs, and Static Analyzers for Secure Code Generation and Vulnerability Detection

Existing literature heavily relies on static analysis tools to evaluate LLMs for secure code generation and vulnerability detection. We reviewed 1,080 LLM-generated code samples, built a human-validated ground-truth, and compared the outputs of two widely used static security tools, CodeQL and...

Semi-Device-Independent Quantum Random Number Generator Resistant to General Attacks

Quantum random number generators QRNGs produce true random numbers based on the inherent randomness of quantum theory, rendering them a foundational segment of quantum cryptography. Distinguished from trusted-device QRNGs whose security depends on characterized devices, semi-device-independent...

Tanium Threat Response 安全漏洞

Tanium Threat Response is a core security module for endpoint detection and response developed by the American company Tanium. Tanium Threat Response has a security vulnerability, which stems from information leakage...

Tanium Threat Response 安全漏洞

Tanium Threat Response is a core security module for endpoint detection and response developed by the American company Tanium. Tanium Threat Response has a security vulnerability, which stems from information leakage...

Tanium Threat Response 安全漏洞

Tanium Threat Response is a core security module for endpoint detection and response developed by the American company Tanium. Tanium Threat Response has a security vulnerability, which stems from information leakage...

Clouding the Mirror: Stealthy Prompt Injection Attacks Targeting LLM-Based Phishing Detection

Phishing sites continue to grow in volume and sophistication. Recent work leverages large language models LLMs to analyze URLs, HTML, and rendered content to decide whether a website is a phishing site. While these approaches are promising, LLMs are inherently vulnerable to prompt injection PI...

Tanium Threat Response 安全漏洞

Tanium Threat Response is a core security module for endpoint detection and response developed by the American company Tanium. Tanium Threat Response has a security vulnerability, which stems from information leakage...

📄 NPU Driver Use-After-Free Detector

This Metasploit module detects vulnerable NPU drivers susceptible to CVE-2025-21424, a use-after-free vulnerability in the MSM NPU kernel driver. Additional details are included that identify shortcomings in the original proof of concept...

CVE-2026-23105

In the Linux kernel, the following vulnerability has been resolved: net/sched: qfq: Use clisactive to determine whether class is active in qfqrmfromag This is more of a preventive patch to make the code more consistent and to prevent possible exploits that employ child qlen manipulations on qfq...

CVE-2025-71198

In the Linux kernel, the following vulnerability has been resolved: iio: imu: stlsm6dsx: fix iiochanspec for sensors without event detection The stlsm6dsxaccchannels array of struct iiochanspec has a non-NULL eventspec field, indicating support for IIO events. However, event detection is not...

CVE-2025-71198

In the Linux kernel, the following vulnerability has been resolved: iio: imu: stlsm6dsx: fix iiochanspec for sensors without event detection The stlsm6dsxaccchannels array of struct iiochanspec has a non-NULL eventspec field, indicating support for IIO events. However, event detection is not...

UBUNTU-CVE-2025-71198

In the Linux kernel, the following vulnerability has been resolved: iio: imu: stlsm6dsx: fix iiochanspec for sensors without event detection The stlsm6dsxaccchannels array of struct iiochanspec has a non-NULL eventspec field, indicating support for IIO events. However, event detection is not...

Detecting backdoored language models at scale

Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a practical scanner designed to detect backdoored models at scale and improve overall trust in AI...