Hyperparameter Tuning-Based Optimized Performance Analysis of Machine Learning Algorithms for Network Intrusion Detection

Network Intrusion Detection Systems NIDS are essential for securing networks by identifying and mitigating unauthorized activities indicative of cyberattacks. As cyber threats grow increasingly sophisticated, NIDS must evolve to detect both emerging threats and deviations from normal behavior. Th...

SHERLOCK: A Deep Learning Approach to Detect Software Vulnerabilities

The increasing reliance on software in various applications has made the problem of software vulnerability detection more critical. Software vulnerabilities can lead to security breaches, data theft, and other negative outcomes. Traditional software vulnerability detection techniques, such as...

Detecting Prompt Injection Attacks against Application Using Classifiers

Prompt injection attacks can compromise the security and stability of critical systems, from infrastructure to large web applications. This work curates and augments a prompt injection dataset based on the HackAPrompt Playground Submissions corpus and trains several classifiers, including LSTM,...

CVE-2025-67734

Frappe Learning Management System LMS is a learning system that helps users structure their content. Versions prior to 2.42.0 allowed authenticated attackers to enter JavaScript through the Company Website field of the Job Form, exposing users to an XSS attack. The script could then be executed i...

The Role of AI in Modern Penetration Testing

Penetration testing is a cornerstone of cybersecurity, traditionally driven by manual, time-intensive processes. As systems grow in complexity, there is a pressing need for more scalable and efficient testing methodologies. This systematic literature review examines how Artificial Intelligence AI...

CVE-2025-67734 Frappe Authenticated Users can Execute JavaScript through its Job Form

Frappe Learning Management System LMS is a learning system that helps users structure their content. Versions prior to 2.42.0 allowed authenticated attackers to enter JavaScript through the Company Website field of the Job Form, exposing users to an XSS attack. The script could then be executed i...

CVE-2025-67730

Frappe Learning Management System LMS is a learning system that helps users structure their content. Versions prior to 2.42.0 allow authenticated users to add malicious HTML and JavaScript through description fields in the Job, Course and Batch forms. This issue is fixed in version 2.42.0...

CVE-2025-67730 Frappe authenticated users can execute XSS through form description fields

Frappe Learning Management System LMS is a learning system that helps users structure their content. Versions prior to 2.42.0 allow authenticated users to add malicious HTML and JavaScript through description fields in the Job, Course and Batch forms. This issue is fixed in version 2.42.0...

CVE-2025-67730 Frappe authenticated users can execute XSS through form description fields

Frappe Learning Management System LMS is a learning system that helps users structure their content. Versions prior to 2.42.0 allow authenticated users to add malicious HTML and JavaScript through description fields in the Job, Course and Batch forms. This issue is fixed in version 2.42.0...

PT-2025-50902

Name of the Vulnerable Software and Affected Versions Frappe Learning Management System LMS versions prior to 2.42.0 Description Frappe Learning Management System LMS allows authenticated users to inject malicious HTML and JavaScript code through description fields within the Job, Course, and Bat...

PT-2025-50968

Name of the Vulnerable Software and Affected Versions Frappe Learning Management System LMS versions prior to 2.42.0 Description Frappe Learning Management System LMS allows authenticated attackers to inject JavaScript code through the Company Website field within the Job Form. This can lead to a...

PHANTOM: Progressive High-Fidelity Adversarial Network for Threat Object Modeling

The scarcity of cyberattack data hinders the development of robust intrusion detection systems. This paper introduces PHANTOM, a novel adversarial variational framework for generating high-fidelity synthetic attack data. Its innovations include progressive training, a dual-path VAE-GAN...

Frappe Learning Management System 跨站脚本漏洞

Frappe Learning Management System is an easy-to-use open source learning management system from Frappe Open Source. A cross-site scripting vulnerability exists in Frappe Learning Management System versions prior to 2.42.0, which stems from the Company Website field in a Job Form that can be...

Frappe Learning Management System 跨站脚本漏洞

Frappe Learning Management System is an easy-to-use open source learning management system from Frappe Open Source. A cross-site scripting vulnerability exists in Frappe Learning Management System versions prior to 2.42.0, which stems from malicious HTML and JavaScript that can be injected into t...

Virtual Camera Detection: Catching Video Injection Attacks in Remote Biometric Systems

Face anti-spoofing FAS is a vital component of remote biometric authentication systems based on facial recognition, increasingly used across web-based applications. Among emerging threats, video injection attacks -- facilitated by technologies such as deepfakes and virtual camera software -- pose...

Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs

Deep Neural Networks DNNs, as valuable intellectual property, face unauthorized use. Existing protections, such as digital watermarking, are largely passive; they provide only post-hoc ownership verification and cannot actively prevent the illicit use of a stolen model. This work proposes a...

SUSE CVE-2025-40297

In the Linux kernel, the following vulnerability has been resolved: net: bridge: fix use-after-free due to MST port state bypass syzbot reported1 a use-after-free when deleting an expired fdb. It is due to a race condition between learning still happening and a port being deleted, after all its...

UBUNTU-CVE-2025-40297

In the Linux kernel, the following vulnerability has been resolved: net: bridge: fix use-after-free due to MST port state bypass syzbot reported1 a use-after-free when deleting an expired fdb. It is due to a race condition between learning still happening and a port being deleted, after all its...

CVE-2025-40297

CVE-2025-40297 affects the Linux kernel network bridge code. A race between learning FDB entries and deleting a port can allow fdb learning when a port is being removed, due to MST bypassing the port state and VLAN filtering being disabled during deletion. The fix adds a check for the port’s VLAN...

CVE-2025-40297 net: bridge: fix use-after-free due to MST port state bypass

In the Linux kernel, the following vulnerability has been resolved: net: bridge: fix use-after-free due to MST port state bypass syzbot reported1 a use-after-free when deleting an expired fdb. It is due to a race condition between learning still happening and a port being deleted, after all its...