A False Sense of Privacy: Evaluating Textual Data Sanitization beyond Surface-Level Privacy Leakage

Whitepaper called A False Sense Of Privacy: Evaluating Textual Data Sanitization Beyond Surface-Level Privacy Leakage...

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures

As large language models LLMs continue to evolve, it is critical to assess the security threats and vulnerabilities that may arise both during their training phase and after models have been deployed. This survey seeks to define and categorize the various attacks targeting LLMs, distinguishing...

OPA server Data API HTTP path injection of Rego

Impact When run as a server, OPA exposes an HTTP Data API for reading and writing documents. Requesting a virtual document through the Data API entails policy evaluation, where a Rego query containing a single data document reference is constructed from the requested path. This query is then used...

CVE-2022-49855 net: wwan: iosm: fix memory leak in ipc_pcie_read_bios_cfg

In the Linux kernel, the following vulnerability has been resolved: net: wwan: iosm: fix memory leak in ipcpciereadbioscfg ipcpciereadbioscfg is using the acpievaluatedsm to obtain the wwan power state configuration from BIOS but is not freeing the acpiobject. The acpievaluatedsm returned...

KUNBUS GmbH Revolution Pi (Update A)

RISK EVALUATION Successful exploitation of these vulnerabilities could allow attackers to bypass authentication, gain unauthorized access to critical functions, and execute malicious server-side includes SSI within a web page. 2. RECOMMENDED PRACTICES CISA recommends users take defensive...

Attack and Defense Techniques in Large Language Models: a Survey and New Perspectives

Large Language Models LLMs have become central to numerous natural language processing tasks, but their vulnerabilities present significant security and ethical challenges. This systematic survey explores the evolving landscape of attack and defense techniques in LLMs. We classify attacks into...

Can Differentially Private Fine-Tuning LLMs Protect against Privacy Attacks?

Fine-tuning large language models LLMs has become an essential strategy for adapting them to specialized tasks; however, this process introduces significant privacy challenges, as sensitive training data may be inadvertently memorized and exposed. Although differential privacy DP offers strong...

OET: Optimization-Based Prompt Injection Evaluation Toolkit

Large Language Models LLMs have demonstrated remarkable capabilities in natural language understanding and generation, enabling their widespread adoption across various domains. However, their susceptibility to prompt injection attacks poses significant security risks, as adversarial inputs can...

Elastic Elasticsearch 安全漏洞

Elastic Elasticsearch is a search engine based on the Lucene library from the Dutch company Elastic. A security vulnerability exists in Elastic Elasticsearch that stems from uncontrolled resource consumption when evaluating specially crafted search templates, which could lead to a denial of servi...

The Hidden Risks of LLM-Generated Web Application Code: a Security-Centric Evaluation of Code Generation Capabilities in Large Language Models

The rapid advancement of Large Language Models LLMs has enhanced software development processes, minimizing the time and effort required for coding and enhancing developer productivity. However, despite their potential benefits, code generated by LLMs has been shown to generate insecure code in...

A Novel Cipher for Enhancing MAVLink Security: Design, Security Analysis, and Performance Evaluation Using a Drone Testbed

We present MAVShield, a novel lightweight cipher designed to secure communications in Unmanned Aerial Vehicles UAVs using the MAVLink protocol, which by default transmits unencrypted messages between UAVs and Ground Control Stations GCS. While existing studies propose encryption for MAVLink, most...

Network Attack Traffic Detection with Hybrid Quantum-Enhanced Convolution Neural Network

The emerging paradigm of Quantum Machine Learning QML combines features of quantum computing and machine learning ML. QML enables the generation and recognition of statistical data patterns that classical computers and classical ML methods struggle to effectively execute. QML utilizes quantum...

Enhancing Vulnerability Reports with Automated and Augmented Description Summarization

Public vulnerability databases, such as the National Vulnerability Database NVD, document vulnerabilities and facilitate threat information sharing. However, they often suffer from short descriptions and outdated or insufficient information. In this paper, we introduce Zad, a system designed to...

SoK: Enhancing Privacy-Preserving Software Development from a Developers' Perspective

In software development, privacy preservation has become essential with the rise of privacy concerns and regulations such as GDPR and CCPA. While several tools, guidelines, methods, methodologies, and frameworks have been proposed to support developers embedding privacy into software applications...

SAGE: a Generic Framework for LLM Safety Evaluation

Whitepaper called SAGE: A Generic Framework For LLM Safety Evaluation...

Evaluating Organization Security: User Stories of European Union NIS2 Directive

The NIS2 directive requires EU Member States to ensure a consistently high level of cybersecurity by setting risk-management measures for essential and important entities. Evaluations are necessary to assess whether the required security level is met. This involves understanding the needs and goa...

FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection

Graph-based detection methods leveraging Function Call Graphs FCGs have shown promise for Android malware detection AMD due to their semantic insights. However, the deployment of malware detectors in dynamic and hostile environments raises significant concerns about their robustness. While recent...

T2VShield: Model-Agnostic Jailbreak Defense for Text-To-Video Models

The rapid development of generative artificial intelligence has made text to video models essential for building future multimodal world simulators. However, these models remain vulnerable to jailbreak attacks, where specially crafted prompts bypass safety mechanisms and lead to the generation of...

Planet Technology Network Products

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to read or manipulate device data, gain administrative privileges, or alter database entries. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of...

tomcat:ELEvaluationFuzzer: Security exception in java.base/sun.nio.cs.CESU_8.newEncoder

Detailed Report: https://oss-fuzz.com/testcase?key=6083313104388096 Project: tomcat Fuzzing Engine: libFuzzer Fuzz Target: ELEvaluationFuzzer Job Type: libfuzzerasantomcat Platform Id: linux Crash Type: Security exception Crash Address: Crash State: java.base/sun.nio.cs.CESU8.newEncoder...