What is the FREAK attack?

by | Mar 8, 2017 | CompTIA, Data Breaches and Prevention, Most Common Vulnerabilities

What is the FREAK attack?

We use the HTTP protocol to browse the Internet and visit a website. When we type a URL in the browser, an HTTP request goes to the server, and the server responds with an appropriate HTML page. If we think about security, HTTP is an unsecured protocol. When data travels between the client and the server, it is unencrypted. As a result, it is not safe from attacks like the Man-In-The-Middle attack. So, we need some secure protocol to transfer sensitive data. For example, while transferring data for bank transactions, etc., we need a secure connection. And so, HTTPS was developed. (How does the HTTPS protocol work?)

HTTPS uses SSL/TLS (How does TLS protocol work?) for security. That means all data transferred between the server and the client or browser gets encrypted first and then transferred. First, a TLS connection is established between the server and client (browser), and a key is negotiated between them. And then, all data is encrypted with the key and sent over.

The FREAK attack is an attack in which the attacker exploits a vulnerability of SSL/TLS protocol and breaks the encryption to steal sensitive data transferred between the browser and the server.

How does the FREAK attack work?

Many a time, SSL/TLS protocol depends on RSA to transfer secret information between the browser and the server. Earlier, servers and clients used to use ‘export RSA’ instead of RSA. That would rely on 512-bit long, weaker export RSA encryption keys. Later, we stopped using ‘export RSA.’ But in many servers and browsers, the support for ‘export RSA’ remained.

The FREAK attack is an attack in which the attacker exploits this vulnerability and tricks the browser and the server into using ‘export RSA’ instead of a stronger RSA.

Let’s understand how the attack works.

  • The browser uses HTTPS, which is HTTP over SSL/TLS, and tries to establish a secure connection to the server. For that reason, the browser sends a Client Hello message to the server and requests to use a standard, stronger RSA cipher suite.
  • The attacker intercepts the conversation and replaces the RSA cipher suite message with ‘export RSA.’
  • The server does not understand the trick and responds to the client with a 512-bit export RSA key signed with its certificate.
  • The client (browser) also does not understand the trick and accepts ‘export RSA.’
  • The communication starts using ‘export RSA.’
  • The client and the server exchange pre-master secrets, i.e., the secrets on the encryption keys, using which the data will be encrypted further.
  • The attacker easily breaks weaker export RSA encryption and gets the secret information.
  • The attacker can now derive the secret keys using which the sensitive data will be encrypted and transferred between the browser and the server.

How to prevent FREAK attacks?

Almost all modern browsers have released security patches against the vulnerability of the FREAK attack. As per the security patches, modern browsers and servers removed the support for the ‘export RSA’ cipher suite, making our data more secure.

 

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 »