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Making the Web Secure, One Unit Test at a Time

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Making the Web Secure, One Unit Test at a Time

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Originally written as part of Sysadvent 2013.

Writing automated tests for your code is one of those things that, once you have gotten into it, you never want to see code without tests ever again. Why write pages and pages of documentation about how something should work when you can write tests to show exactly how something does work? Looking at the number and quality of testing tools and frameworks (like cucumber, rspec, Test Kitchen, Server Spec, Beaker, Casper and Jasmine to name a few) that have popped up in the last year or so I’m obviously not the only person who has a thing for testing utilities.

One of the other things I am interested in is web application security, so this post is all about using the tools and techniques from unit testing to avoid common web application security issues. I’m using Ruby in the examples but you could quickly convert these to other languages if you desire.

Any port in a storm

Lets start out with something simple. Accidentally exposing applications on TCP ports can lead to data loss or introduce a vector for attack. Maybe your main website is super secure, but you left the port for your database open to the internet. It’s the server configuration equivalent of forgetting to lock the back door.

Nmap is a tool lots of people will be familiar with for spanning for open ports. As well as a command line interface Nmap also has good library support in lots of languages so lets try and write a simple tests suite around it.

require "tempfile"
require "nmap/program"
require "nmap/xml"

describe "the scanme.nmap.org website" do
  file = Tempfile.new("nmap.xml")
  before(:all) do
    Nmap::Program.scan do |nmap|
      nmap.xml = file.path
      nmap.targets = "scanme.nmap.org"

  @open_ports = []
  Nmap::XML.new("scan.xml") do |xml|
    xml.each_host do |host|
      host.each_port do |port|
        @open_ports << port.number if port.state == :open

With the above code in place we can then write tests like:

it "should have two ports open" do
 @open_ports.should have(2).items

it "should have port 80 open" do
 @open_ports.should include(80)

it "should have port 22 closed" do
 @open_ports.should_not include(22)

We can run these manually, but also potentially as part of a continuous integration build or constantly as part of a monitoring suite.

Run the Guantlt

We had to do quite a bit of work wrapping Nmap before we could write the tests above. Wouldn’t it be nice if someone had already wrapped lots of useful security minded tools for us? Gauntlt is pretty much just that, it’s a security testing framework based on cucumber which currently supports curl, nmap, sslyze, sqlmap, garmr and a bunch more tools in master. Lets do something more advanced than our port scanning test above by testing a URL for a SQL injection vulnerability.

Feature: Run sqlmap against a target
  Scenario: Identify SQL injection vulnerabilities
    Given "sqlmap" is installed
    And the following profile:
      | name       | value                                      |
      | target_url | http://localhost/sql-injection?number_id=1 |
    When I launch a "sqlmap" attack with:
      python <sqlmap_path> -u <target_url> —dbms sqlite —batch -v 0 —tables
    Then the output should contain:
      sqlmap identified the following injection points
    And the output should contain:
      [2 tables]
      | numbers         |
      | sqlite_sequence |

The Gauntlt team publish lots of examples like this one alongside the source code, so getting started is easy. Gauntlt is very powerful, but as you’ll see from the example above you need to know quite a bit about the underlying tools it is using. In the case above you need to know the various arguments to sqlmap and also how to interpret the output.

Enter Prodder

Prodder is a tool I put together to automate a few specific types of security testing. In many ways it’s very similar to Gauntlt; it uses the cucumber testing framework and uses some of the same tools (like nmap and sslyze) under the hood. However rather than a general purpose security framework like Gauntlt, Prodder is higher level and very opinionated. Here’s an example:

Feature: SSL
  In order to ensure secure connections
  I want to check the SSL configuration of my servers
    Given "sslyze.py" is installed
    Scenario: Check SSLv2 is disabled
      When we test using the "sslv2" protocol
      Then the exit status should be 0
      And the output should contain "SSLv2 disabled"

    Scenario: Check certificate is trusted
      When we check the certificate
      Then the output should contain "Certificate is Trusted"
      And the output should match /OK — (Common|Subject

Alternative) Name Matches/

      And the output should not contain "Signature Algorithm: md5"
      And the output should not contain "Signature Algorithm: md2"
      And the output should contain "Key Size: 2048"

    Scenario: Check certificate renegotiations
      When we test certificate renegotiation
      Then the output should contain "Client-initiated

Renegotiations: Rejected”

      And the output should contain "Secure Renegotiation: Supported"

    Scenario: Check SSLv3 is not using weak ciphers
      When we test using the "sslv3" protocol
      Then the output should not contain "Anon"
      And the output should not contain "96bits"
      And the output should not contain "40bits"
      And the output should not contain " 0bits"

This is a little higher level than the Gauntlt example — it’s not exposing the workings of sslyze that is doing the actual testing. All you need is an understanding of SSL certifcates. Even if you’re not an expert on SSL you can accept the aforementioned opinions of Prodder about what good looks like. Prodder currently contains steps and exampes for port scanning, SSL certificates and security minded HTTP headers. If you already have a cucumber based test suite (including one based on Gauntlt) you can reuse the step definitions in that too.

I’m hoping to build upon Prodder, adding more types of tests and getting agreement on the included opinions from the wider systems administration community. By having a default set of shared assertions about the expected security of out system we can more easily move onto new projects, safe in the knowledge that a test will fail if someone messes up our once secure configuration.

I’m convinced, what should I do next?

As well as trying out some of the above tools and techniques for yourself I’d recommend encouraging more security conversations in your development and operations teams. Here’s a few places to start with:

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Published at DZone with permission of Gareth Rushgrove, DZone MVB. See the original article here.

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