This section will explain in detail how you can undestand a vulnerabilty as reported by Kiuwan.
The explanation is focused on injection-related vulnerabilities, as an example of complex vulnerabilities.
We will first provide an overview of Tainted Flow Analysis (the theoretical basis behind the scenes), and then we will focus on Kiuwan vulnerability reporting.
The root cause of many security breaches is trusting unvalidated input:. This could be:
Source locations are those code places from where data comes in, that can be potentially controlled by the user (or the environment) and must consequently be presumably considered as tainted (it may be used to build injection attacks).
Sink locations are those code places where consumed data must not be tainted.
The goal of Tainted Flow Analysis is to detect tainted data flows:
Prove, for all possible sinks, that tainted data will never be used where untainted data is expected.
Kiuwan implements Tainted Flow Analysis by inferring flows in the source code of your application:
When inferring flows from an untainted sink to a tainted source, Kiuwan can detect if any well-known sanitizer is used, dropping those flows and thus avoiding to raise false vulnerabilities.
Kiuwan contains a built-in library of sanitizers for every supported programming language and framework.
These sanitizers are commonly used directly by programmers or by frameworks. And Kiuwan detects their use.
Vulnerabilities are reported under Code Security > Vulnerabilities.
All the vulnerabilities of the same type (i.e. coming from the same Kiuwan rule that checks for it) are grouped under the Kiuwan rule name, indicating how many files are affected and how many vulnerabilities were found.
For our explanation, we will follow an example based on Waratek – Spiracle software, focusing on SQL injection vulnerabilities.
Search for the SQL injection vulnerabilities by entering "SQL" in the Search by rule name field.
In this image, we can see that 2 files are affected: there is a sink that is being fed tainted data. An injection point.
For every file there are a number of vulnerabillities:
Every vulnerability offers the possibility to view a graph view of all the propagation paths for this item.
Click the icon on the right:
The following graph will open:
Tainted data flows are represented as directed graphs from sources (at the top) to sinks (at the bottom).
Any element may have a number that indicates in how many tainted data flows it participates.
You can see the detail of any element (source, sink or propagation node) by hovering the mouse overt it. A dialog will be displayed as in the image below:
Clicking on the affected file will open all its affected sinks.
In this case, there’s only one sink for every file (only one injection point), but it could be many. Kiuwan will display all the line numbers of the affected sinks.
If you want to see a graphical view of all the sources, sinks and tainted data flows for a file you can also click on the icon.
And the following graph will be displayed:
Clicking on a sink will display its details as well as all the sources where data is collected from an untrusted source and flows to the sink without being neutralized (or sanitized).
The sink details include the following information:
Most commonly, every source will be a different file. But depending on the flow path, you could find same source and line many times.
Let’s see how to understand every source.
Clicking on a source will open a frame with information about the source.
Source detail includes following information:
Important: You should not understand the propagation path as a typical stack of method calls. It’s not that.
You should understand it as a data-flow path.
Let’s look at the following example:
You can also view it in graphical mode:
Any propagation path is composed of a source node, a sink node and as many propagation nodes as different methods are involved in the propagation path.
In the example, we can see the next propagation path (flowing from source to sink) :
Let’s go back to the initial sink information.
As said above, for every sink there will appear the list of sources that are “feeding” that sink.
But you might be wondering why there are 5 sources with the same file name and line.
We’ve selected this specific example to show something that could happen in your own code. Let’s explore the second source into detail.
In the 2nd source you can see that the propagation nodes are different from the previous one.
While in the 1st the propagation it was through Delete_User.java, in the 2nd, it goes through a different file: Insert_Raw_Text.java
Remainder sources for the same sink show that there are still other different propagation paths between the same source and the sink.
This example is a special case where the call sequence consists of 5 servlets calling a utility (ParameterNullFix.sanitizeNull(..)) to recover some request parameters, building an SQL sentence with this tainted data and sending the SQL sentence to another utility (UpdateUtil.executeUpdate(…) ) to execute the database update.
This is the reason Kiuwan shows one sink with 5 different sinks. That difference is because the propagation paths are through the different servlets. In this case, the easiest fix would be to sanitize the user data at the source, therefore remediating 5 found defects with only one fix.
As a summary, you can understand any injection vulnerability as a unique propagation path from source to sink, regardless of whether source and sink are the same.
Some injection rules provide the ability to behave differently depending on a configuration parameter: parametersAsSources
This parameter makes the rule to consider the function/method parameters where the sink is contained as "sources". And sources are always being considered as "tainted".
If parametersAsSources=true, the rule performs a tainting path analysis to check if the parameters are neutralized since being received by the function/method until are consumed by the sink. If no neutralization is found, an injection vulnerability is raised. By default, parametersAsSources=false.
If your software being analyzed by Kiuwan is a complete application (i.e. it contains presentation plus logic and ddbb layers), you should let it be as false. In this way, Kiuwan will make a full tanting path analysis over the whole application code.
But, if your software is a "library", i.e. a software component that will be used by 3rd parties to build their own applications, you should configure this property to true, making Kiuwan perform that local tainting path analysis, thus guaranteeing that your library is protected against injection vulnerabilities regardless the usage by third parties.
As you can guess, setting to true and analyzing a complete application will result in a number of false positives.