br0tda / codeql-uboot Goto Github PK
View Code? Open in Web Editor NEWHome Page: https://lab.github.com/githubtraining/codeql-u-boot-challenge-(cc++)
License: MIT License
Home Page: https://lab.github.com/githubtraining/codeql-u-boot-challenge-(cc++)
License: MIT License
You will now run a simple CodeQL query, to understand its basic concepts and get familiar with your IDE.
Edit the file 3_function_definitions.ql
with the following contents:
import cpp
from Function f
where f.getName() = "strlen"
select f, "a function named strlen"
Don't copy / paste this code, but instead type it slowly. You will see the CodeQL auto-complete suggestions in your IDE as you type.
from
and the first letters of Function
, the IDE will propose a list of available classes from the CodeQL library for C/C++. This is a good way to discover what classes are available to represent standard patterns in the source code.where f.
the IDE will propose a list of available predicates that you can call on the variable f
.getName()
to narrow down the list.Run this query: Right-click on the query editor, then click CodeQL: Run Query.
Inspect the results appearing in the results panel. Click on the result hyperlinks to navigate to the corresponding locations in the U-Boot code. Do you understand what this query does? You probably guessed it! This query finds all functions with the name strlen
.
Now it's time to submit your query. You will have 2 choices to do that, and we'll explain both of them in the comments below. Once you have chosen your method, submit your answer!
Read carefully: you will need to follow the same steps to submit your answers to later steps. You can always come back to this issue later to check the submission instructions.
We created this course to help you quickly learn CodeQL, our query language and engine for code analysis. The goal is to find several remote code execution (RCE) vulnerabilities in the open-source software known as U-Boot, using CodeQL and its libraries for analyzing C/C++ code. To find the real vulnerabilities, you'll need to write a sequence of queries, making them more precise at each step of the course.
The goal is to find a set of 9 remote-code-execution vulnerabilities in the U-Boot boot loader. These vulnerabilities were originally discovered by GitHub Security Lab researchers and have since been fixed. An attacker with positioning on the local network, or control of a malicious NFS server, could potentially achieve remote code execution on the U-Boot powered device. This was possible because the code read data from the network (that could be attacker-controlled) and passed it to the length parameter of a call to the memcpy
function. When such a length parameter is not properly validated before use, it may lead to exploitable memory corruption vulnerabilities.
U-Boot contains hundreds of calls to both memcpy
and libc
functions that read data from the network. You can often recognize network data being acted upon through use of the ntohs
(network to host short) and ntohl
(network to host long) functions or macros. These swap the byte ordering for integer values that are received in network ordering to the host's native byte ordering (which is architecture dependent).
In this course, you will use CodeQL to find such calls. Many of those calls may actually be safe, so throughout this course you will refine your query to reduce the number of false positives, and finally track down the unsafe calls to memcpy
that are influenced by remote input.
Upon completion of the course, you will have created a CodeQL query that is able to find variants of this common vulnerability pattern.
Bookmark these useful documentation links:
If you get stuck during this course and need some help, the best place to ask for help is on the GitHub Security Lab Slack. Request an invitation from the Security Lab Get Involved page and ask in the channel #codeql-writing
. There are also sample solutions in the course repository, but please try to solve the tasks on your own first!
Hope this is exciting! Please close this issue now, then wait for the next set of instructions to appear in a comment below.
We will use the CodeQL extension for Visual Studio Code. You will take advantage of IDE features like auto-complete, contextual help and jump-to-definition.
Don't worry, you'll do this setup only once, and you'll be able to use it for future CodeQL development.
Follow the instructions below.
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