XSS-CTF

XSS-CTF Contains hands-on XSS test cases from beginner...

AntiFLipper: A Secure and Efficient Defense against Label-Flipping Attacks in Federated Learning

Federated learning FL enables privacy-preserving model training by keeping data decentralized. However, it remains vulnerable to label-flipping attacks, where malicious clients manipulate labels to poison the global model. Despite their simplicity, these attacks can severely degrade model...

H2O Flow Unauthenticated Access

H2O Flow is an open-source user interface for H2O, an open-source, distributed and scalable machine learning and predictive analytics platform. By default, H2O Flow does not require authentication to access the application. This allows an attacker to access sensitive data. This detection is...

A Global Analysis of Cyber Threats to the Energy Sector: "Currents of Conflict" from a Geopolitical Perspective

The escalating frequency and sophistication of cyber threats increased the need for their comprehensive understanding. This paper explores the intersection of geopolitical dynamics, cyber threat intelligence analysis, and advanced detection technologies, with a focus on the energy domain. We...

The Impact of Audio Watermarking on Audio Anti-Spoofing Countermeasures

This paper presents the first study on the impact of audio watermarking on spoofing countermeasures. While anti-spoofing systems are essential for securing speech-based applications, the influence of widely used audio watermarking, originally designed for copyright protection, remains largely...

RLCracker: Exposing the Vulnerability of LLM Watermarks with Adaptive RL Attacks

Large Language Models LLMs watermarking has shown promise in detecting AI-generated content and mitigating misuse, with prior work claiming robustness against paraphrasing and text editing. In this paper, we argue that existing evaluations are not sufficiently adversarial, obscuring critical...

ML-Logger 路径遍历漏洞

ML-Logger is a logger, server and visualization dashboard for machine learning projects by Ge Yang Personal Developer. A path traversal vulnerability exists in ML-Logger acf255bade5be6ad88d90735c8367b28cbe3a743 and prior versions, which stems from a misbehavior of the loghandler function in the...

ML-Logger 安全漏洞

ML-Logger is a logger, server and visualization dashboard for machine learning projects by Ge Yang Personal Developer. A security vulnerability exists in ML-Logger acf255bade5be6ad88d90735c8367b28cbe3a743 and prior versions, which stems from an incorrect manipulation of the parameter data of the...

ExpIDS: a Drift-Adaptable Network Intrusion Detection System with Improved Explainability

Despite all the advantages associated with Network Intrusion Detection Systems NIDSs that utilize machine learning ML models, there is a significant reluctance among cyber security experts to implement these models in real-world production settings. This is primarily because of their opaque natur...

CVE-2025-10809

A security vulnerability has been detected in Campcodes Online Learning Management System 1.0. The affected element is an unknown function of the file /admin/department.php. Such manipulation of the argument d leads to sql injection. The attack can be executed remotely. The exploit has been...

CVE-2025-10784

A security vulnerability has been detected in Campcodes Online Learning Management System 1.0. Affected by this issue is some unknown functionality of the file /admin/editsubject.php. The manipulation of the argument subjectcode leads to sql injection. It is possible to initiate the attack...

CVE-2025-10782

A security flaw has been discovered in Campcodes Online Learning Management System 1.0. Affected is an unknown function of the file /admin/class.php. Performing manipulation of the argument classname results in sql injection. The attack is possible to be carried out remotely. The exploit has been...

CVE-2025-10783

A weakness has been identified in Campcodes Online Learning Management System 1.0. Affected by this vulnerability is an unknown functionality of the file /admin/addsubject.php. Executing manipulation of the argument subjectcode can lead to sql injection. The attack may be performed from remote. T...

CVE-2025-10781

A vulnerability was identified in Campcodes Online Learning Management System 1.0. This impacts an unknown function of the file /admin/editclass.php. Such manipulation of the argument classname leads to sql injection. The attack can be executed remotely. The exploit is publicly available and migh...

Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation

Fine-tuning large language models LLMs with local data is a widely adopted approach for organizations seeking to adapt LLMs to their specific domains. Given the shared characteristics in data across different organizations, the idea of collaboratively fine-tuning an LLM using data from multiple...

Bi-GRPO: Bidirectional Optimization for Jailbreak Backdoor Injection on LLMs

With the rapid advancement of large language models LLMs, their robustness against adversarial manipulations, particularly jailbreak backdoor attacks, has become critically important. Existing approaches to embedding jailbreak triggers--such as supervised fine-tuning SFT, model editing, and...

PT-2025-39214

Name of the Vulnerable Software and Affected Versions Chamilo versions prior to 1.11.34 Description Chamilo is a learning management system susceptible to a stored cross-site scripting XSS issue. An attacker with limited access, such as a trainer, can inject malicious JavaScript into the course...

Semantic-Aware Fuzzing: an Empirical Framework for LLM-Guided, Reasoning-Driven Input Mutation

Security vulnerabilities in Internet-of-Things devices, mobile platforms, and autonomous systems remain critical. Traditional mutation-based fuzzers -- while effectively explore code paths -- primarily perform byte- or bit-level edits without semantic reasoning. Coverage-guided tools such as AFL+...

Towards Adapting Federated and Quantum Machine Learning for Network Intrusion Detection: a Survey

This survey explores the integration of Federated Learning FL with Network Intrusion Detection Systems NIDS, with particular emphasis on deep learning and quantum machine learning approaches. FL enables collaborative model training across distributed devices while preserving data privacy-a critic...

PT-2025-39212

Name of the Vulnerable Software and Affected Versions Chamilo versions prior to 1.11.34 Description Chamilo is a learning management system. A Cross-Site Request Forgery CSRF issue allows an attacker to delete projects within a course without the victim’s consent. Sensitive actions, such as proje...