In 2013, a new attack named BREACH Attack, or Browser Reconnaissance and Exfiltration via Adaptive Compression of Hypertext, caught our attention. It affected many by stealing sensitive data transferred over the Internet, even when SSL/TLS (How does TLS protocol work?) is used. Let’s understand what this BREACH attack is and how the attackers perpetrate this attack.

What is the BREACH attack?

When a browser requests a webpage, the webpage usually is first compressed and then sent to the browsers. The compression is done to utilize the network bandwidth in a better way. Similarly, when we send any data through a webpage, the content is first compressed and then sent to the server. We use HTTP compression for this purpose.

When we use SSL/TLS to send sensitive data to a server, the data is first encrypted and then sent to the server. In the case of HTTP compression, content is first compressed and then sent to the server.

In the BREACH Attack, an attacker analyzes the responses of a victim who is authenticated to a web application and finds out sensitive data of the victim. In other words, the attacker sends several requests to the server impersonating the victim and looks at the responses, e.g., the length of the compressed contents. On analyzing the lengths of responses to various requests, the attacker determines the sensitive data of the victim.

How does the BREACH attack work?

When we use HTTP compression on web pages, the length of the compressed content is less than that of the actual content. But, the exact length of the compressed content depends on the sensitive data of the user.

For example, the study says that if a user authenticates to a website and searches with some text in the search bar, the length of the compressed webpage will be minimal when the search text matches the username or credit card number of the user.

So, if a user has a credit card number 123456 and searches with various texts in the search bar of the website, the length of the compressed webpage will be minimal when the user searches with 123456. And, this is the technique the attackers exploit to determine sensitive data of the user.

To perpetrate the BREACH attack, the attacker first uses social engineering to trick the victim into clicking…

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 »