libxml2 安全漏洞

libxml2 is a GNOME open source library for parsing XML documents. It is written in C and can be called by many languages, such as C, C++, and XSH. A security vulnerability exists in libxml2 version 2.9.14 and earlier, which stems from an uncontrolled recursion in XPath evaluation that could lead ...

Rockwell Automation FactoryTalk Optix

RISK EVALUATION Successful exploitation of this vulnerability could result in an attacker achieving remote code execution. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize network exposure for all...

Backdoor Attacks and Defenses in Computer Vision Domain: a Survey

Backdoor trojan attacks embed hidden, controllable behaviors into machine-learning models so that models behave normally on benign inputs but produce attacker-chosen outputs when a trigger is present. This survey reviews the rapidly growing literature on backdoor attacks and defenses in the...

Spectral Masking and Interpolation Attack (SMIA): a Black-Box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems

Voice Authentication Systems VAS use unique vocal characteristics for verification. They are increasingly integrated into high-security sectors such as banking and healthcare. Despite their improvements using deep learning, they face severe vulnerabilities from sophisticated threats like deepfake...

Decoding Latent Attack Surfaces in LLMs: Prompt Injection Via HTML in Web Summarization

Large Language Models LLMs are increasingly integrated into web-based systems for content summarization, yet their susceptibility to prompt injection attacks remains a pressing concern. In this study, we explore how non-visible HTML elements such as , aria-label, and alt attributes can be exploit...

False Sense of Security: Why Probing-Based Malicious Input Detection Fails to Generalize

Large Language Models LLMs can comply with harmful instructions, raising serious safety concerns despite their impressive capabilities. Recent work has leveraged probing-based approaches to study the separability of malicious and benign inputs in LLMs' internal representations, and researchers ha...

NeuroBreak: Unveil Internal Jailbreak Mechanisms in Large Language Models

In deployment and application, large language models LLMs typically undergo safety alignment to prevent illegal and unethical outputs. However, the continuous advancement of jailbreak attack techniques, designed to bypass safety mechanisms with adversarial prompts, has placed increasing pressure ...

SUSE CVE-2025-9714

Uncontrolled recursion in XPath evaluation in libxml2 up to and including version 2.9.14 allows a local attacker to cause a stack overflow via crafted expressions. XPath processing functions xmlXPathRunEval, xmlXPathCtxtCompile, and xmlXPathEvalExpr were resetting recursion depth to zero before...

VulnRepairEval: an Exploit-Based Evaluation Framework for Assessing Large Language Model Vulnerability Repair Capabilities

The adoption of Large Language Models LLMs for automated software vulnerability patching has shown promising outcomes on carefully curated evaluation sets. Nevertheless, existing datasets predominantly rely on superficial validation methods rather than exploit-based verification, leading to...

Evaluating Security Properties in the Execution of Quantum Circuits

Quantum computing is a disruptive technology that is expected to offer significant advantages in many critical fields e.g. drug discovery and cryptography. The security of information processed by such machines is therefore paramount. Currently, modest Noisy Intermediate-Scale Quantum NISQ device...

Delta Electronics EIP Builder

RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to potentially process dangerous external entities, resulting in disclosure of sensitive information. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation...

Remote Code Execution (RCE)

Apache Commons OGNL is vulnerable to Remote Code Execution RCE. The vulnerability is due to incomplete blocklist restrictions in the OGNL engine when parsing and evaluating expressions, which allows an attacker to bypass protections and potentially achieve arbitrary code execution...

📄 XWiki Platform Remote Code Execution

This Metasploit module exploits a template injection vulnerability in the the XWiki Platform. XWiki includes a macro called SolrSearch defined in Main.SolrSearchMacros that enables full-text search through the embedded Solr engine. The vulnerability stems from the way this macro evaluates search...

Linux Distros Unpatched Vulnerability : CVE-2025-53192

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - UNSUPPORTED WHEN ASSIGNED Improper Neutralization of Expression/Command Delimiters vulnerability in Apache Commons OGNL. This issue affects Apache Commons OGNL:...

Linux Distros Unpatched Vulnerability : CVE-2021-32773

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Racket is a general-purpose programming language and an ecosystem for language-oriented programming. In versions prior to 8.2, code evaluated using the Racket...

The WASM Cloak: Evaluating Browser Fingerprinting Defenses under WebAssembly Based Obfuscation

Browser fingerprinting defenses have historically focused on detecting JavaScriptJS-based tracking techniques. However, the widespread adoption of WebAssembly WASM introduces a potential blind spot, as adversaries can convert JS to WASM's low-level binary format to obfuscate malicious logic. This...

CVE-2025-9444

The CVE concerns 1000projects Online Project Report Submission and Evaluation System 1.0. A SQL injection vulnerability exists in the file /admin/controller/delete_group_student.php, triggered by manipulating the batch_id parameter. This remote attack surface could lead to unauthorized data expos...

DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift

Malware detection in real-world settings must deal with evolving threats, limited labeling budgets, and uncertain predictions. Traditional classifiers, without additional mechanisms, struggle to maintain performance under concept drift in malware domains, as their supervised learning formulation...

1000 Projects Online Project Report Submission and Evaluation System Security Vulnerability

1000 Projects Online Project Report Submission and Evaluation System is a 1000 Projects open source online project report submission and evaluation system . 1000 Projects Online Project Report Submission and Evaluation System version 1.0 has a security vulnerability , the vulnerability stems from...

1000 Projects Online Project Report Submission and Evaluation System Security Vulnerability

1000 Projects Online Project Report Submission and Evaluation System is a 1000 Projects open source online project report submission and evaluation system . 1000 Projects Online Project Report Submission and Evaluation System version 1.0 has a security vulnerability , the vulnerability stems from...