CVE-2025-38508

The CVE-2025-38508 entry describes a Linux kernel vulnerability in x86/SEV: when Secure TSC is enabled, GUEST_TSC_FREQ is derived from the P0 frequency and diverges from the mean TSC frequency, causing clock skew in SEV-SNP VMs and resulting in hrtimer interrupts firing earlier than expected. The...

Malicious code in mean-sso (npm)

The package mean-sso was found to contain malicious code...

MAL-2025-21295 Malicious code in generator-mean-coffee (npm)

The package generator-mean-coffee was found to contain malicious code...

Malicious code in plugin-did-you-mean (npm)

The package plugin-did-you-mean was found to contain malicious code...

MAL-2025-26123 Malicious code in mean_setup (npm)

The package meansetup was found to contain malicious code...

MAL-2025-26121 Malicious code in mean-sso (npm)

The package mean-sso was found to contain malicious code...

Malicious code in generator-mean-coffee (npm)

The package generator-mean-coffee was found to contain malicious code...

Large Language Model-Based Framework for Explainable Cyberattack Detection in Automatic Generation Control Systems

The increasing digitization of smart grids has improved operational efficiency but also introduced new cybersecurity vulnerabilities, such as False Data Injection Attacks FDIAs targeting Automatic Generation Control AGC systems. While machine learning ML and deep learning DL models have shown...

Realistic Vulnerabilities of Decoy-State Quantum Key Distribution

We analyze realistic vulnerabilities of decoy-state quantum key distribution QKD arising from the combination of laser damage attack LDA and unambiguous state discrimination USD. While decoy-state QKD is designed to protect against photon-number-splitting and beam-splitting attacks by accurately...

Optimal Piecewise-Based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy

Numerical data with bounded domains is a common data type in personal devices, such as wearable sensors. While the collection of such data is essential for third-party platforms, it raises significant privacy concerns. Local differential privacy LDP has been shown as a framework providing provabl...

Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation

Achieving differentially private computations in decentralized settings poses significant challenges, particularly regarding accuracy, communication cost, and robustness against information leakage. While cryptographic solutions offer promise, they often suffer from high communication overhead or...

Private Statistical Estimation Via Truncation

We introduce a novel framework for differentially private DP statistical estimation via data truncation, addressing a key challenge in DP estimation when the data support is unbounded. Traditional approaches rely on problem-specific sensitivity analysis, limiting their applicability. By leveragin...

Fine-Grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams

Local Differential Privacy LDP enables massive data collection and analysis while protecting end users' privacy against untrusted aggregators. It has been applied to various data types e.g., categorical, numerical, and graph data and application settings e.g., static and streaming. Recent finding...

WordPress plugin QMean – WordPress Did You Mean 跨站脚本漏洞

WordPress and WordPress plugin are both products of the WordPress Foundation.WordPress is a blogging platform developed in the PHP language. WordPress plugin is an application plugin that supports personal blog sites on PHP and MySQL servers. WordPress plugin QMean - WordPress Did You Mean 2.0 an...

PT-2025-6981

Name of the Vulnerable Software and Affected Versions: QMean – WordPress Did You Mean versions 2.0 and earlier Description: The issue is related to Improper Neutralization of Input During Web Page Generation, also known as Cross-site Scripting. This allows for Reflected XSS attacks...

CVE-2025-23428: Improper Neutralization of Input During Web Page Generation

Improper Neutralization of Input During Web Page Generation 'Cross-site Scripting' vulnerability in Arash Safari QMean – WordPress Did You Mean qmean allows Reflected XSS.This issue affects QMean – WordPress Did You Mean: from n/a through = 2.0...

Exploit for Improper Access Control in Pnpm

pnpm vs npm exploit This repo showcases how a difference...

Lower Data Breach Insurance Costs with These Tips

The changing attack landscape has resulted in the hardening of the data breach insurance market. Gain insight into how implementing security controls can reduce the mean time to detect and control the costliness of an attack...

How To Present SecOps Metrics (The Right Way)

SecOps metrics can be a gold mine of potential for informing better business decisions, but 78% of CEOs say they don’t have adequate data on risk exposure to make good decisions. Even when they do see the right data, 82% are inclined to “trust their gut” anyway. Here lies the disconnect between...

Showcasing SecOps Metrics That Matter

This year, new rules from the Security and Exchange Commission SEC about board-level expertise, risk management, and public disclosures will take effect. The European Union is updating its regulations, as well. To meet these new requirements, organizations will need to explain to shareholders...