What is DNS Cookies?

When we type a URL in the browser address bar, our computer makes a DNS query to the appropriate DNS servers, and it gets the corresponding IP address. Using the IP address,  the computer accesses the target system. Protocols like SSL/TLS and HTTPS can ensure that the communication between the server and the client is encrypted after the domain name resolution is done. But, what if an attacker takes advantage of the DNS communication between the client and the DNS server at the time of domain name resolution and affects that to transfer the traffic to malicious servers or make a DoS attack? DNS Cookies is a security mechanism that is developed for that purpose.

DNS Cookies is a lightweight DNS transaction security mechanism that protects DNS servers and clients from various attacks, such as DoS attacks, DNS Amplification attacks, DNS Cache Poisoning, etc. It is a lightweight mechanism and can work with other existing DNS transaction security mechanisms. It can even work in the presence of NAT and NAT Protocol Transaction (NAT-PT).

Let’s understand what DNS Cookies is actually and how it works.

What are the security concerns of DNS?

There are a number of security concerns in the existing DNS system. Some of them are mentioned below :

DoS Attacks on DNS Servers

When a DNS client makes a DNS request to DNS servers, it causes them to bear a heavy computational burden. A recursive server may issue one or more requests and process the responses, which requires many computational resources. The situation may even worsen when DNSSEC is used.  DNSSEC performs many cryptographic computations to verify the authenticity of the DNS transaction.

So, if an attacker forges the source IP address and sends many DNS requests to the DNS servers, it would be very hard to identify that the requests are forged ones. Moreover, it is impossible to restrict IP addresses from which DNS requests should be honored and discarded otherwise.

As a result, an attacker can take advantage of that and send many DNS requests to the DNS servers so that the resources of the DNS servers get exhausted, resulting in a DoS attack.

DNS Cache Poisoning

When we type a URL in the browser’s address bar, our computer queries the appropriate DNS server. Once the DNS server responds, the DNS client stores the IP address in its DNS cache. The entry in the DNS cache also includes a time stamp up to which the entry remains valid. Within that time, if we type the address again, our computer will look at its DNS cache for the entry.

Suppose our computer has made a DNS query and is waiting for a response from the DNS servers. But instead of an authentic response, it gets a response containing an IP address of the attacker’s website. So, the DNS cache will be poisoned, and from now on, whenever the computer tries to resolve …

Facebooktwitterredditpinterestlinkedinmail

Calculate the pseudoinverse of a matrix using Python

What is the pseudoinverse of a matrix? We know that if A is a square matrix with full rank, then A-1 is said to be the inverse of A if the following condition holds: $latex AA^{-1}=A^{-1}A=I $ The pseudoinverse or the Moore-Penrose inverse of a matrix is a...

Cholesky decomposition using Python

What is Cholesky decomposition? A square matrix A is said to have Cholesky decomposition if it can be written as a product of a lower triangular matrix and its conjugate transpose. $latex A=LL^{*} $ If all the entries of A are real numbers, then the conjugate...

Tensor Hadamard Product using Python

In one of our previous articles, we already discussed what the Hadamard product in linear algebra is. We discussed that if A and B are two matrices of size mxn, then the Hadamard product of A and B is another mxn matrix C such that: $latex H_{i,j}=A_{i,j} \times...

Perform tensor addition and subtraction using Python

We can use numpy nd-array to create a tensor in Python. We can use the following Python code to perform tensor addition and subtraction. import numpy A = numpy.random.randint(low=1, high=10, size=(3, 3, 3)) B = numpy.random.randint(low=1, high=10, size=(3, 3, 3)) C =...

How to create a tensor using Python?

What is a tensor? A tensor is a generalization of vectors and matrices. It is easily understood as a multidimensional array. For example, in machine learning, we can organize data in an m-way array and refer it as a data tensor. Data related to images, sounds, movies,...

How to combine NumPy arrays using horizontal stack?

We can use the hstack() function from the numpy module to combine two or more NumPy arrays horizontally. For example, we can use the following Python code to combine three NumPy arrays horizontally. import numpy A = numpy.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) B =...

How to combine NumPy arrays using vertical stack?

Let’s say we have two or more NumPy arrays. We can combine these NumPy arrays vertically using the vstack() function from the numpy module. For example, we can use the following Python code to combine three NumPy arrays vertically. import numpy A = numpy.array([[1, 2,...

Singular Value Decomposition (SVD) using Python

What is Singular Value Decomposition (SVD)? Let A be an mxn rectangular matrix. Using Singular Value Decomposition (SVD), we can decompose the matrix A in the following way: $latex A_{m \times n}=U_{m \times m}S_{m \times n}V_{n \times n}^T $ Here, U is an mxm matrix....

Eigen decomposition of a square matrix using Python

Let A be a square matrix. Let’s say A has k eigenvalues λ1, λ2, ... λk. And the corresponding eigenvectors are X1, X2, ... Xk. $latex X_1=\begin{bmatrix} x_{11} \\ x_{21} \\ x_{31} \\ ... \\ x_{k1} \end{bmatrix} \\ X_2=\begin{bmatrix} x_{12} \\ x_{22} \\ x_{32} \\ ......

How to calculate eigenvalues and eigenvectors using Python?

In our previous article, we discussed what eigen values and eigenvectors of a square matrix are and how we can calculate the eigenvalues and eigenvectors of a square matrix mathematically. We discussed that if A is a square matrix, then $latex (A- \lambda I) \vec{u}=0...

Amrita Mitra

Author

Ms. Amrita Mitra is an author, who has authored the books “Cryptography And Public Key Infrastructure“, “Web Application Vulnerabilities And Prevention“, “A Guide To Cyber Security” and “Phishing: Detection, Analysis And Prevention“. She is also the founder of Asigosec Technologies, the company that owns The Security Buddy.

0 Comments

Submit a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Not a premium member yet?

Please follow the link below to buy The Security Buddy Premium Membership.

Featured Posts

Translate »