Functions of The Statusbar in Wireshark

Functions of The Statusbar in Wireshark

Last Updated : 01 May, 2023

Wireshark captures network packets and displays the captured data in a human-readable format for easy analysis and troubleshooting of network issues. Wireshark is a packet sniffing and analysis tool. It captures network traffic on the local network and stores this data for offline analysis.

So, in this article, we will learn about the functions of The Statusbars in Wireshark. and what are the components used inside the functions.

The Main Window

So this is the main window of the Wireshark while the wireless fidelity live capturing. as you can see in the below image there is a tool menu function, main toolbar function, packet list pane, and packet details pane. present the captured network interface.

The Statusbar

Generally, the context information will be displayed on the left, the current recording file information will be displayed in the middle, and the selected configuration file will be displayed on the right. Drag the handles between text boxes to change the size.

The initial Statusbar

This the initial status bar image when we open our wireshark to packet analyse.

The Statusbar with a Loaded Capture File

Functions of The Statusbar in Wireshark

S

sourabhsahu22

Improve

Article Tags :

Similar Reads

Non-linear Components

In electrical circuits, Non-linear Components are electronic devices that need an external power source to operate actively. Non-Linear Components are those that are changed with respect to the voltage and current. Elements that do not follow ohm's law are called Non-linear Components. Non-linear Co

Spring Boot Tutorial

Spring Boot is a Java framework that makes it easier to create and run Java applications. It simplifies the configuration and setup process, allowing developers to focus more on writing code for their applications. This Spring Boot Tutorial is a comprehensive guide that covers both basic and advance

Class Diagram | Unified Modeling Language (UML)

A UML class diagram is a visual tool that represents the structure of a system by showing its classes, attributes, methods, and the relationships between them. It helps everyone involved in a projectâ€”like developers and designersâ€”understand how the system is organized and how its components interact

Steady State Response

In this article, we are going to discuss the steady-state response. We will see what is steady state response in Time domain analysis. We will then discuss some of the standard test signals used in finding the response of a response. We also discuss the first-order response for different signals. We

Backpropagation in Neural Network

Back Propagation is also known as "Backward Propagation of Errors" is a method used to train neural network . Its goal is to reduce the difference between the modelâ€™s predicted output and the actual output by adjusting the weights and biases in the network.It works iteratively to adjust weights and

Polymorphism in Java

Polymorphism in Java is one of the core concepts in object-oriented programming (OOP) that allows objects to behave differently based on their specific class type. The word polymorphism means having many forms, and it comes from the Greek words poly (many) and morph (forms), this means one entity ca

3-Phase Inverter

An inverter is a fundamental electrical device designed primarily for the conversion of direct current into alternating current . This versatile device , also known as a variable frequency drive , plays a vital role in a wide range of applications , including variable frequency drives and high power

What is Vacuum Circuit Breaker?

A vacuum circuit breaker is a type of breaker that utilizes a vacuum as the medium to extinguish electrical arcs. Within this circuit breaker, there is a vacuum interrupter that houses the stationary and mobile contacts in a permanently sealed enclosure. When the contacts are separated in a high vac

AVL Tree Data Structure

An AVL tree defined as a self-balancing Binary Search Tree (BST) where the difference between heights of left and right subtrees for any node cannot be more than one. The absolute difference between the heights of the left subtree and the right subtree for any node is known as the balance factor of

What is a Neural Network?

Neural networks are machine learning models that mimic the complex functions of the human brain. These models consist of interconnected nodes or neurons that process data, learn patterns, and enable tasks such as pattern recognition and decision-making.In this article, we will explore the fundamenta