PT-2025-21209 · Palo Alto Networks · Palo Alto Networks Cortex Xdr Broker Vm

Name of the Vulnerable Software and Affected Versions: Palo Alto Networks Cortex XDR Broker VM affected versions not specified Description: A missing authentication issue allows an unauthenticated user to disable certain internal services on the Broker VM. The attacker must have network access to...

Palo Alto Networks PAN-OS 11.1.x < 11.1.6-h1 / 11.1.x < 11.1.7-h2 / 11.2.x < 11.2.5 Vulnerability

The version of Palo Alto Networks PAN-OS running on the remote host is 11.1.x prior to 11.1.6-h1 / 11.1.7-h2 or 11.2.x prior to 11.2.5. It is, therefore, affected by a vulnerability. A missing exception check in Palo Alto Networks PAN-OS software with the web proxy feature enabled allows an...

PT-2025-21199

Name of the Vulnerable Software and Affected Versions: Palo Alto Networks PAN-OS affected versions not specified Description: A missing exception check in the software with the web proxy feature enabled allows an unauthenticated attacker to send a burst of maliciously crafted packets, causing the...

Palo Alto Networks PAN-OS security vulnerabilities

Palo Alto Networks PAN-OS is an operating system developed by Palo Alto Networks, Inc. for its firewall appliances. A security vulnerability exists in Palo Alto Networks PAN-OS that stems from improper input neutralization could lead to administrator impersonation...

Palo Alto Networks Prisma Cloud Compute Edition code-related vulnerabilities

Palo Alto Networks Prisma Cloud Compute Edition is a cloud-native security platform from U.S.-based Palo Alto Networks that provides full lifecycle protection for containers, hosts, and serverless workloads. A security vulnerability exists in Palo Alto Networks Prisma Cloud Compute Edition that...

Palo Alto Networks Cortex XDR Broker VM Code Injection Vulnerability

Palo Alto Networks Cortex XDR Broker VM is a secure virtual machine from Palo Alto Networks, Inc. that integrates with Cortex XDR to bridge the network and Cortex XDR. A security vulnerability exists in Palo Alto Networks Cortex XDR Broker VM that stems from a code injection could lead to the...

Palo Alto Networks GlobalProtect security vulnerability

Palo Alto Networks GlobalProtect is a suite of network protection software from Palo Alto Networks, USA. The software provides features such as firewall monitoring and threat prevention. A security vulnerability exists in Palo Alto Networks GlobalProtect, which stems from a potential elevation of...

Palo Alto Networks PAN-OS cross-site scripting vulnerability

Palo Alto Networks PAN-OS is an operating system developed by Palo Alto Networks, Inc. for its firewall appliances. A cross-site scripting vulnerability exists in Palo Alto Networks PAN-OS, which stems from reflected cross-site scripting that could lead to phishing attacks...

PT-2025-21210

Name of the Vulnerable Software and Affected Versions Palo Alto Networks PAN-OS affected versions not specified Description A reflected cross-site scripting XSS issue exists in the GlobalProtect gateway and portal features. This flaw allows the execution of malicious JavaScript within the browser...

Palo Alto Networks PAN-OS security vulnerabilities

Palo Alto Networks PAN-OS is an operating system developed by Palo Alto Networks, Inc. for its firewall appliances. A security vulnerability exists in Palo Alto Networks PAN-OS that stems from the improper use of the AES-128-CCM algorithm could result in the transmission of unencrypted data...

GPML: Graph Processing for Machine Learning

The dramatic increase of complex, multi-step, and rapidly evolving attacks in dynamic networks involves advanced cyber-threat detectors. The GPML Graph Processing for Machine Learning library addresses this need by transforming raw network traffic traces into graph representations, enabling...

Nmap Port Scanner 7.97

Nmap is a utility for port scanning large networks, although it works fine for single hosts. Sometimes you need speed, other times you may need stealth. In some cases, bypassing firewalls may be required. Not to mention the fact that you may want to scan different protocols UDP, TCP, ICMP, etc...

Modeling Interdependent Cybersecurity Threats Using Bayesian Networks: a Case Study on In-Vehicle Infotainment Systems

Cybersecurity threats are increasingly marked by interdependence, uncertainty, and evolving complexity challenges that traditional assessment methods such as CVSS, STRIDE, and attack trees fail to adequately capture. This paper reviews the application of Bayesian Networks BNs in cybersecurity ris...

Siemens SIMATIC IPC RS-828A

SUMMARY SIMATIC IPC RS-828A is affected by an authentication bypass vulnerability in the Redfish interface of its Baseboard Management Controller BMC that could allow an attacker to gain unauthorized access and compromise confidentiality, integrity and availability of the BMC and thus the entire...

Siemens VersiCharge AC Series EV Chargers

SUMMARY VersiCharge AC Series EV Chargers contain two vulnerabilities that could allow an attacker to gain control of the chargers through default Modbus port or execute arbitrary code by manipulating the M0 firmware. Siemens has released new versions for several affected products and recommends...

Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication

Vehicular Ad Hoc Networks VANETs play a key role in Intelligent Transportation Systems ITS, particularly in enabling real-time communication for emergency vehicles. However, Distributed Denial of Service DDoS attacks, which interfere with safety-critical communication channels, can severely impai...

Assessing the Latency of Network Layer Security in 5G Networks

In contrast to its predecessors, 5G supports a wide range of commercial, industrial, and critical infrastructure scenarios. One key feature of 5G, ultra-reliable low latency communication, is particularly appealing to such scenarios for its real-time capabilities. However, 5G's enhanced security,...

Optimizing Mouse Dynamics for User Authentication by Machine Learning: Addressing Data Sufficiency, Accuracy-Practicality Trade-Off, and Model Performance Challenges

User authentication is essential to ensure secure access to computer systems, yet traditional methods face limitations in usability, cost, and security. Mouse dynamics authentication, based on the analysis of users' natural interaction behaviors with mouse devices, offers a cost-effective,...

Privacy-Aware Berrut Approximated Coded Computing Applied to General Distributed Learning

Coded computing is one of the techniques that can be used for privacy protection in Federated Learning. However, most of the constructions used for coded computing work only under the assumption that the computations involved are exact, generally restricted to special classes of functions, and...

Intrusion Detection System Using Deep Learning for Network Security

As the number of cyberattacks and their particualr nature escalate, the need for effective intrusion detection systems IDS has become indispensable for ensuring the security of contemporary networks. Adaptive and more sophisticated threats are often beyond the reach of traditional approaches to...