Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems

The expansion of the digital domain has resulted in a substantial increase in digital communication, with email emerging as one of the most prominent channels. The proliferation of email communication is apparent in both professional and personal contexts, thereby creating numerous vulnerabilitie...

On the Challenges of Holistic Intrusion Detection in ICS

Past attacks against industrial control systems ICS show that adversaries often target both the ICS network and the physical process to achieve potential catastrophic impact. To secure ICS, intrusion detection systems promise timely uncovering of such adversaries. However, as these detection...

The Role of Learning in Attacking Intrusion Detection Systems

Recent work on network attacks have demonstrated that ML-based network intrusion detection systems NIDS can be evaded with adversarial perturbations. However, these attacks rely on complex optimizations that have large computational overheads, making them impractical in many real-world settings. ...

ACORN-IDS: Adaptive Continual Novelty Detection for Intrusion Detection Systems

Intrusion Detection Systems IDS must maintain reliable detection performance under rapidly evolving benign traffic patterns and the continual emergence of cyberattacks, including zero-day threats with no labeled data available. However, most machine learning-based IDS approaches either assume...

Stealth and Evasion in Rogue AP Attacks: An Analysis of Modern Detection and Bypass Techniques

Wireless networks act as the backbone of modern digital connectivity, making them a primary target for cyber adversaries. Rogue Access Point attacks, specifically the Evil Twin variant, enable attackers to clone legitimate wireless network identifiers to deceive users into connecting. Once a...

DDoS Attacks in Cloud Computing: Detection and Prevention

DDoS attacks are one of the most prevalent and harmful cybersecurity threats faced by organizations and individuals today. In recent years, the complexity and frequency of DDoS attacks have increased significantly, making it challenging to detect and mitigate them effectively. The study analyzes...

MAL-2025-4125 Malicious code in sdkss (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware f46cdba3fb83ff72cb7127859fb5140d6fc6f8ed207f45919c5c64bc494f3097 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems

Machine learning ML-based intrusion detection systems IDS are vulnerable to adversarial attacks. It is crucial for an IDS to learn to recognize adversarial examples before malicious entities exploit them. In this paper, we generated adversarial samples using the Jacobian Saliency Map Attack JSMA...

The vulnerabilities of event monitoring platforms, threat detection systems, and security analytics tools from IBM QRadar Suite and IBM Cloud Pak for Security involve unencrypted storage of user credentials, allowing attackers to gain unauthorized access to protected information.

The vulnerabilities of event monitoring platforms, threat detection systems, and security analytics tools from IBM QRadar Suite and IBM Cloud Pak for Security are related to the unencrypted storage of user credentials. Exploiting these vulnerabilities can allow attackers operating remotely to gai...

The vulnerabilities of event monitoring platforms, threat detection systems, and security analytics tools from IBM QRadar Suite and IBM Cloud Pak for Security are related to information leaks through process environments, allowing attackers to gain unauthorized access to protected information.

The vulnerabilities of event monitoring platforms, threat detection systems, and security analytics tools from IBM QRadar Suite and IBM Cloud Pak for Security are related to information leaks through the process environment. Exploiting these vulnerabilities can allow attackers operating remotely ...

The vulnerabilities of event monitoring platforms, threat detection systems, and security analytics tools from IBM QRadar Suite and IBM Cloud Pak for Security stem from insufficient protection of registration data, allowing attackers to access confidential information.

The vulnerabilities of event monitoring platforms, threat detection systems, and security analytics tools from IBM QRadar Suite and IBM Cloud Pak for Security are related to insufficient protection of registration data. Exploiting these vulnerabilities can allow attackers to access confidential...

The vulnerabilities of event monitoring platforms, threat detection systems, and security analytics tools from IBM QRadar Suite and IBM Cloud Pak for Security stem from insufficient protection of registration data, allowing attackers to access confidential information.

The vulnerabilities of event monitoring platforms, threat detection systems, and security analytics tools from IBM QRadar Suite and IBM Cloud Pak for Security are related to insufficient protection of registration data. Exploiting these vulnerabilities can allow attackers to access confidential...

Riding the AI Waves: The Rise of Artificial Intelligence to Combat Cyber Threats

In nearly every segment of our lives, AI artificial intelligence now makes a significant impact: It can deliver better healthcare diagnoses and treatments; detect and reduce the risk of financial fraud; improve inventory management; and serve up the right recommendation for a streaming movie on...

Here’s How Violent Extremists Are Exploiting Generative AI Tools

Experts are finding thousands of examples of AI-created content every week that could allow terrorist groups and other violent extremists to bypass automated detection systems...

BD Alaris PCU (Update A)

1. EXECUTIVE SUMMARY CVSS v3 5.3 ATTENTION: Exploitable remotely/low skill level to exploit Vendor: Becton, Dickinson and Company BD Equipment: Alaris PCU Vulnerability: Uncontrolled Resource Consumption 2. UPDATE INFORMATION This updated advisory is a follow-up to the original advisory titled...

Sifter - A OSINT, Recon And Vulnerability Scanner

Sifter is a osint, recon & vulnerability scanner. It combines a plethara of tools within different module sets in order to quickly perform recon tasks, check network firewalling, enumerate remote and local hosts, and scan for the 'blue' vulnerabilities within microsft and if unpatched, exploit...

Oracle Siebel CRM Cpujan2020 Multiple Remote Security Vulnerabilities

Description Oracle Siebel CRM is prone to multiple remote security vulnerabilities. These vulnerabilities affect the 'EAI' and 'SWSE Server' components and can be exploited over the 'HTTP' protocol. These vulnerabilities affect the following supported versions: 19.10 and prior Technologies Affect...

Oracle Financial Services Analytical Applications Infrastructure Remote Security Vulnerability

Description Oracle Financial Services Analytical Applications Infrastructure is prone to a remote security vulnerability. The vulnerability can be exploited over the 'HTTP' protocol. The 'Object Migration' component is affected. This vulnerability affects the following supported versions: 8.0.4...

Oracle Banking Corporate Lending cpujan2020 Multiple Security Vulnerabilities

Description Oracle Banking Corporate Lending is prone to multiple security vulnerabilities. These vulnerabilities can be exploited over the 'HTTP' protocol. The 'Core module' component is affected. These vulnerabilities affect the following supported versions: 12.3.0 through 12.4.0, 14.0.0 throug...

Oracle FLEXCUBE Investor Servicing cpujan2020 Multiple Security Vulnerabilities

Description Oracle FLEXCUBE Investor Servicing is prone to multiple security vulnerabilities. These vulnerabilities can be exploited over the 'HTTP' protocol. The 'Infrastructure' sub component is affected. These vulnerabilities affect the following supported versions: 12.1.0 through 12.4.0, 14.0...