CVE-2019-17204

TeamPass 2.1.27.36 allows Stored XSS by setting a crafted Knowledge Base label and adding any available item...

CVE-2019-3566

A bug in WhatsApp for Android's messaging logic would potentially allow a malicious individual who has taken over over a WhatsApp user's account to recover previously sent messages. This behavior requires independent knowledge of metadata for previous messages, which are not available publicly...

CVE-2019-2719

Vulnerability in the Oracle Knowledge component of Oracle Siebel CRM subcomponent: Web Applications InfoCenter. Supported versions that are affected are 8.5.1.0 - 8.5.1.7, 8.6.0 and 8.6.1. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise...

CVE-2019-19909

An issue was discovered in Public Knowledge Project PKP pkp-lib before 3.1.2-2, as used in Open Journal Systems OJS before 3.1.2-2. Code injection can occur in the OJS report generator if an authenticated Journal Manager user visits a crafted URL, because unserialize is used...

CVE-2019-14350

EspoCRM 5.6.4 is vulnerable to stored XSS due to lack of filtration of user-supplied data in the Knowledge base. A malicious attacker can inject JavaScript code in the body parameter during api/v1/KnowledgeBaseArticle knowledge-base record creation...

LLM-BSCVM: an LLM-Based Blockchain Smart Contract Vulnerability Management Framework

Smart contracts are a key component of the Web 3.0 ecosystem, widely applied in blockchain services and decentralized applications. However, the automated execution feature of smart contracts makes them vulnerable to potential attacks due to inherent flaws, which can lead to severe security risks...

Harry Potter Is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models Via Automated Adversarial Prompting

This work presents LURK Latent UnleaRned Knowledge, a novel framework that probes for hidden retained knowledge in unlearned LLMs through adversarial suffix prompting. LURK automatically generates adversarial prompt suffixes designed to elicit residual knowledge about the Harry Potter domain, a...

Can ChatGPT Perform Image Splicing Detection? A Preliminary Study

Multimodal Large Language Models MLLMs like GPT-4V are capable of reasoning across text and image modalities, showing promise in a variety of complex vision-language tasks. In this preliminary study, we investigate the out-of-the-box capabilities of GPT-4V in the domain of image forensics,...

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution

Large Language Model LLM agents can automate cybersecurity tasks and can adapt to the evolving cybersecurity landscape without re-engineering. While LLM agents have demonstrated cybersecurity capabilities on Capture-The-Flag CTF competitions, they have two key limitations: accessing latest...

Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems through Benign Queries

Retrieval-Augmented Generation RAG systems enhance large language models LLMs by incorporating external knowledge bases, but they are vulnerable to privacy risks from data extraction attacks. Existing extraction methods typically rely on malicious inputs such as prompt injection or jailbreaking,...

An Efficient Private GPT Never Autoregressively Decodes

The wide deployment of the generative pre-trained transformer GPT has raised privacy concerns for both clients and servers. While cryptographic primitives can be employed for secure GPT inference to protect the privacy of both parties, they introduce considerable performance overhead.To accelerat...

One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems

Large Language Models LLMs enhanced with Retrieval-Augmented Generation RAG have shown improved performance in generating accurate responses. However, the dependence on external knowledge bases introduces potential security vulnerabilities, particularly when these knowledge bases are publicly...

Proof-Of-Social-Capital: Privacy-Preserving Consensus Protocol Replacing Stake for Social Capital

Consensus protocols used today in blockchains often rely on computational power or financial stakes - scarce resources. We propose a novel protocol using social capital - trust and influence from social interactions - as a non-transferable staking mechanism to ensure fairness and decentralization...

On Membership Inference Attacks in Knowledge Distillation

Nowadays, Large Language Models LLMs are trained on huge datasets, some including sensitive information. This poses a serious privacy concern because privacy attacks such as Membership Inference Attacks MIAs may detect this sensitive information. While knowledge distillation compresses LLMs into...

CVE-2025-31493

Kirby is an open-source content management system. A vulnerability in versions prior to 3.9.8.3, 3.10.1.2, and 4.7.1 affects all Kirby sites that use the collection helper or $kirby-collection method with a dynamic collection name such as a collection name that depends on request or user data...

CVE-2025-32390

EspoCRM is a free, open-source customer relationship management platform. Prior to version 9.0.8, HTML Injection in Knowledge Base KB articles leads to complete page defacement imitating the login page. Authenticated users with the read knowledge article privilege can browse to the KB article and...

Correlating Account on Ethereum Mixing Service Via Domain-Invariant Feature Learning

The untraceability of transactions facilitated by Ethereum mixing services like Tornado Cash poses significant challenges to blockchain security and financial regulation. Existing methods for correlating mixing accounts suffer from limited labeled data and vulnerability to noisy annotations, whic...

CVE-2025-4546

A vulnerability was found in 1Panel-dev MaxKB up to 1.10.7. It has been declared as critical. Affected by this vulnerability is an unknown functionality of the component Knowledge Base Module. The manipulation leads to csv injection. The attack can be launched remotely. The exploit has been...

2025-05 Cumulative Update for Windows 10 Version 21H2 for x64-based Systems (KB5058379)

Install this update to resolve issues in Windows. For a complete listing of the issues that are included in this update, see the associated Microsoft Knowledge Base article for more information. After you install this item, you may have to restart your computer...

2025-05 Dynamic Cumulative Update for Windows 10 Version 22H2 for x64-based Systems (KB5058379)

ComponentUpdate: A security issue has been identified in a Microsoft software product that could affect your system. You can help protect your system by installing this update from Microsoft. For a complete listing of the issues that are included in this update, see the associated Microsoft...