Marker 8: Tainted SQL string will propagate tainted data into an argument passed to the `db_query` Marker 7: The $ filename key is concatenated with a tainted SQL string. Marker 6: The $ filename key contains the tainted data from the $edit variable concatenated with the string. The $ filename key is concatenated with a tainted SQL string, and then it will propagate tainted data into an argument passed to the db_query. Both variables contain the tainted data from the $ edit variable concatenated with the string. Marker 5: The $ edit variable is passed to foreach with the $ filename key and $ status value. Marker 4: Data from the $edit variable is now located in the $edit parameter. Marker 3: The tainted variable $ edit is passed to the system_save_settings function as an argument without any proper sanitization. Markers 1-2: Data from user form input is retrieved from the $ _POST global array with no sanitization or validation and is assigned to the variable $ edit. Here, Qodana shows us the following taints in the system_admin() function: Let’s take a look at an example of SQL injection and how Qodana detects it: This functionality includes an inspection that scans the code and highlights the taint and potential vulnerability, the ability to open the problem in PhpStorm to address it on the spot, and a dataflow graph visualizing the taint flow. Taint analysis is performed by Qodana for PHP starting from version 2023.1 EAP. In other words, the taint analysis inspection traces user-tainted data from its source to your sinks, and raises the alarm when you work with that data without sanitizing or validating it. In the example below, we enable validation for the `$email` variable. check that the added data conforms to a required pattern. ![]() In the example below, we removed tags to resolve the taint. Then, to prevent taint propagation, you should take one of the two approaches described below: If you run taint analysis manually, you should spot all of the places where you accept data from external users and follow each piece of data through the system – the tainted data can be used in dozens of nodes. This data can be propagated to the sinks via function calls or assignments. Key points in a program that are susceptible to allowing tainted input are called taint sinks. Taint sources are locations where a program gets access to potentially tainted data. Its core goal is to determine if unanticipated input can affect program execution in malicious ways. Taint analysis is the process of assessing the flow of untrusted user input throughout the body of a function or method. For example, malicious users can exploit this vulnerability to tamper with your program’s layout.Īs an extra layer of defense against malicious inputs, development teams execute taint analysis when they run a security audit on the program’s attack surface. Arbitrary data from the GET parameter is displayed on the screen. Usually they exploit these vulnerabilities to destroy the system, hijack credentials and other data, and change the system’s behavior. If you have a taint in your code and unverified external data can be distributed across your program, hackers can execute these code fragments to cause SQL injection, arithmetic overflow, cross-site scripting, path traversal, and more. GET STARTED WITH QODANA What is taint analysis?Ī taint is any value that can pose a security risk when modified by an external user. Read on to learn more about what taint analysis is and how it works in Qodana. We plan on adding more languages in the future, after we’ve collected enough feedback. Qodana for PHP was the first linter we released, so we decided to let PHP developers be the first to test our new security functionality, too. The feature is available only in Qodana for PHP 2023.1 (jetbrains/qodana-php:2023.1-eap). In this year’s first release, the Qodana team has delivered taint analysis for PHP in the EAP. ![]() To defend programs against malicious inputs from external users (known as “taints”), development teams add taint checking to their static analysis routines. It only takes one user to exploit a vulnerability in your project and breach your system. By using the same code inspections and profiles as PhpStorm and other JetBrains IDEs do, Qodana helps ensure consistent code quality checks both in your IDE and your CI environment. The platform is designed to bring server-side static analysis to your preferred CI tool. This blog post was brought to you by Qodana – a code quality platform by JetBrains.
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