CVE-2025-10452

The CVE-2025-10452 entry concerns Gotac’s Statistical Database System. The connected documents confirm a Missing Authentication vulnerability that allows unauthenticated remote attackers to read, modify, and delete database contents with high-level privileges (CVSS v3.1/4.0 scores CRITICAL). Affe...

CVE-2025-10452 Gotac｜Statistical Database System - Missing Authentication

Statistical Database System developed by Gotac has a Missing Authentication vulnerability, allowing unauthenticated remote attackers to read, modify, and delete database contents with high-level privileges...

Gotac Statistical Database System 访问控制错误漏洞

Gotac Statistical Database System is a statistical database system from Gotac Corporation in Taiwan, China. An access control error vulnerability exists in the Gotac Statistical Database System, which stems from a lack of authentication, and could allow an unauthenticated, remote attacker to read...

CVE-2025-10452: Missing Authentication for Critical Function

Statistical Database System developed by Gotac has a Missing Authentication vulnerability, allowing unauthenticated remote attackers to read, modify, and delete database contents with high-level privileges...

CVE-2025-30041 Missing authentication in APIs returning statistical data along with session IDs

The paths "/cgi-bin/CliniNET.prd/utils/userlogstat.pl", "/cgi-bin/CliniNET.prd/utils/usrlogstat.pl", and "/cgi-bin/CliniNET.prd/utils/dblogstat.pl" expose data containing session IDs...

PP-STAT: an Efficient Privacy-Preserving Statistical Analysis Framework Using Homomorphic Encryption

With the widespread adoption of cloud computing, the need for outsourcing statistical analysis to third-party platforms is growing rapidly. However, handling sensitive data such as medical records and financial information in cloud environments raises serious privacy concerns. In this paper, we...

Perfect Message Authentication Codes Are Robust to Small Deviations from Uniform Key Distributions

We investigate the impact of possible deviations of the probability distribution of key values from a uniform distribution for the information-theoretic strong, or perfect, message authentication code. We found a simple expression for the decrease in security as a function of the statistical...

MambaITD: an Efficient Cross-Modal Mamba Network for Insider Threat Detection

Enterprises are facing increasing risks of insider threats, while existing detection methods are unable to effectively address these challenges due to reasons such as insufficient temporal dynamic feature modeling, computational efficiency and real-time bottlenecks and cross-modal information...

Program Analysis for High-Value Smart Contract Vulnerabilities: Techniques and Insights

A widespread belief in the blockchain security community is that automated techniques are only good for detecting shallow bugs, typically of small value. In this paper, we present the techniques and insights that have led us to repeatable success in automatically discovering high-value smart...

Kerberoasting Detections: A New Approach to a Decade-Old Challenge

Security experts have been talking about Kerberoasting for over a decade, yet this attack continues to evade typical defense methods. Why? It's because existing detections rely on brittle heuristics and static rules, which don't hold up for detecting potential attack patterns in highly variable...

CertDW: Towards Certified Dataset Ownership Verification via Conformal Prediction

Deep neural networks DNNs rely heavily on high-quality open-source datasets e.g., ImageNet for their success, making dataset ownership verification DOV crucial for protecting public dataset copyrights. In this paper, we find existing DOV methods implicitly assume that the verification process is...

Watermarking Autoregressive Image Generation

Watermarking the outputs of generative models has emerged as a promising approach for tracking their provenance. Despite significant interest in autoregressive image generation models and their potential for misuse, no prior work has attempted to watermark their outputs at the token level. In thi...

CVE-2025-27587

OpenSSL 3.0.0 through 3.3.2 on the PowerPC architecture is vulnerable to a Minerva attack, exploitable by measuring the time of signing of random messages using the EVPDigestSign API, and then using the private key to extract the K value nonce from the signatures. Next, based on the bit size of t...

GNU PSPP Buffer Overflow Vulnerability

GNU PSPP is a free statistical software used as an alternative to the commercial software SPSS for data analysis and statistics. GNU PSPP suffers from a buffer overflow vulnerability that originates in the parsevariablesoption function in the utilities/pspp-convert.c file. No detailed vulnerabili...

A Certified Unlearning Approach without Access to Source Data

With the growing adoption of data privacy regulations, the ability to erase private or copyrighted information from trained models has become a crucial requirement. Traditional unlearning methods often assume access to the complete training dataset, which is unrealistic in scenarios where the...

CVE-2023-46657

Jenkins Gogs Plugin 1.0.15 and earlier uses a non-constant time comparison function when checking whether the provided and expected webhook token are equal, potentially allowing attackers to use statistical methods to obtain a valid webhook token...

CVE-2022-43412

Jenkins Generic Webhook Trigger Plugin 1.84.1 and earlier uses a non-constant time comparison function when checking whether the provided and expected webhook token are equal, potentially allowing attackers to use statistical methods to obtain a valid webhook token...

NCorr-FP: a Neighbourhood-Based Correlation-Preserving Fingerprinting Scheme for Intellectual Property Protection of Structured Data

Ensuring data ownership and traceability of unauthorised redistribution are central to safeguarding intellectual property in shared data environments. Data fingerprinting addresses these challenges by embedding recipient-specific marks into the data, typically via content modifications. We propos...

LLM Watermarking Using Mixtures and Statistical-To-Computational Gaps

Given a text, can we determine whether it was generated by a large language model LLM or by a human? A widely studied approach to this problem is watermarking. We propose an undetectable and elementary watermarking scheme in the closed setting. Also, in the harder open setting, where the adversar...

SILENT: a New Lens on Statistics in Software Timing Side Channels

Cryptographic research takes software timing side channels seriously. Approaches to mitigate them include constant-time coding and techniques to enforce such practices. However, recent attacks like Meltdown 42, Spectre 37, and Hertzbleed 70 have challenged our understanding of what it means for...