what is Dirty Cow

1- What is Ethical  Hacking ?
  

  Ethical hacking and ethical hacker are terms used to        describe hacking performed by a company or individual to help identify potential threats on a computer or network. An ethical hacker attempts to bypass system security and search for any weak points that could be exploited by malicious hackers. This information is then used by the organization to improve the system security, in an effort to minimize or eliminate any potential attacks.

 2- What is Dirty Cow in Linux ?
Experts disclosed a new Linux kernel vulnerability dubbed Dirty COW that could be exploited by an unprivileged local attacker to escalate privileges.
The security expert Phil Oester discovered in the Linux kernel a new flaw, dubbed ‘Dirty COW‘ that could be exploited by a local attacker to escalate privileges.
The name “Dirty COW” is due to the fact that it’s triggered by a race condition in the way the Linux kernel’s memory subsystem handles copy-on-write (COW) breakage of private read-only memory mappings.
According to the security advisory published by Red Had, the vulnerability, tracked as CVE-2016-5195, allows local attackers to modify existing setuid files.
“A race condition was found in the way the Linux kernel’s memory subsystem handled the copy-on-write (COW) breakage of private read-only memory mappings. An unprivileged local user could use this flaw to gain write access to otherwise read-only memory mappings and thus increase their privileges on the system.” states the Red Had security advisory.
“This could be abused by an attacker to modify existing setuid files with instructions to elevate privileges. An  exploit using this technique has been found in the wild.”
       

Comments

Post a Comment

Popular posts from this blog

What is HTML

Image
        HTML stands for  H yper  T ext  M arkup  L anguage         HTML is the  standard markup  language for Web pages         HTML  elements  are the building blocks of HTML pages         HTML elements are represented by  <> tags HTML Attributes HTML elements can have  attributes Attributes provide  additional information  about the element Attributes come in name/value pairs like  charset="utf-8"   HTML Document Structure Below is a visualization of an HTML document (an HTML Page): <html> <head> <title>Page title</title> </head> <body> <h1>This is a heading</h1> <p>This is a paragraph.</p> <p>This is another paragraph.</p> </body> </html> Note:  Only the content...
Read more

Artificial Agent

Image
What is Artificial Agent Artificial intelligence is defined as study of Logical or rational  agents. A Logical  agent could be anything which makes decisions,take decision,  like a person, firm, machine, or software. It carries out an action with the best outcome after considering past  and current percepts(agent’s perceptual inputs at a given instance). The artificial agent perceiving environment through sensors and acting upon that environment through actuators. perceiving its environment through  sensors  and acting upon that environment through  actuators Note  : Every agent can perceive its own actions (but not always the effects) To understand the structure of Intelligent Agents, we should be familiar with  Architecture  and  Agent Program .  Architecture  is the machinery that the agent executes on. It is a device with sensors and actuators, for example : a robotic car, a camera, a PC.  Age...
Read more

What is machine learning

Image
This article discusses the categories of machine learning problems, and terminologies used in the field of machine learning. Types of machine learning problems There are various ways to classify machine learning problems. Here, we discuss the most obvious ones. 1. On basis of the nature of the learning “signal” or “feedback” available to a learning system Supervised learning : The computer is presented with example inputs and their desired outputs, given by a “teacher”, and the goal is to learn a general rule that maps inputs to outputs. The training process continues until the model achieves a desired level of accuracy on the training data. Some real life examples are: Image Classification:  You train with images/labels. Then in the future you give a new image expecting that the computer will recognize the new object. Market Prediction/Regression:  You train the computer with historical market data and ask the computer to predict the ...
Read more