Posts Tagged ‘untrusted inputs’

Using Enum Pattern in Java < 1.5

Tuesday, December 16th, 2008

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Alright!!! Let’s get started. This is one of many subjects which always overwhelms me. Why so? Ofcourse, the reasons can not be explained here but then, the reason should be the least of your worries.

Okay, if you know enough about this, then please post your knowledge tips as comments because your comments might help towards my unexplained reasons.

You may find similar information on other websites but then, it’s a wild world and I am not intending to infringe any copyrights.

Now to begin with, let’s first understand how to evaluate the performance of java code and protect the java code from tainted objects. We’ve already talked about Tainted Object Propagation in my previous post in context with databases. now, it is in context with application code.

I’ll explain this with an example of enum pattern.

We can have enums in Java in two ways. Continue for detailed reading

© Safer Code | Using Enum Pattern in Java < 1.5

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All Input is Evil

Tuesday, November 18th, 2008

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In my previous posts, I have been emphasizing on validating Integer and String inputs by putting various checks in place. But now, I’ll suggest you to consider any type of input to your application or software as “Evil”. Consider the following two rules for any input data:

  1. All input is evil until proven otherwise.
  2. Data must be validated as it crosses the boundary between untrusted and trusted environments.

Till now, I explained how to validate Integer and String data, but today, I’ll explain what is to be validated in the input data. First things first, Look for valid data and reject everything else. You should deny all access until you are sure that the input in the request is valid. You should look for valid data and not look for invalid data for two reasons:

  1. There might be more than one valid way to represent the data.
      • For example: a word “Rose” can be represented in many ways like “ROSE”, “rose”, “R%6fse”, “RoSE” et cetera. All the mentioned words are the variations of single word “Rose” and they are valid variations. But, This can definitely be a problem for an application.
  2. You might miss an invalid data pattern.

Consider the following code: (more…)

© Safer Code | All Input is Evil

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Validating Untrusted String Inputs

Tuesday, November 11th, 2008

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Alright!! In my last post about untrusted inputs, we talked about validating the data of the “integer” input parameters, checking the out parameters et cetera.This time, we’ll talk about other types of inputs. If you have written a program to take in multiple lines of strings as an input from the user, you need to make sure that the input is not tainted. It is clean and as per your expectations. For example: If your program requires an answer for a question which can be subjective, then you need to provide a string buffer good enough to get a complete answer but not large enough to crash your system or make it run out of memory. Or you need to protect your system from getting any malicious scripts being inserted.Strings are a very risky area for inputs as there is pre-defined rule for this type of validation. So, following are the points to ponder to make your code safe and secure.

  1. Firstly, do use regular expressions to validate the string input. For example, ^[A-Za-z0-9]+$ specifies that the string must be at least one character long and that it can only include upper-case letters, lower-case letters, and the digits 0 through 9 (in any order). You can use regular expressions to limit which characters are allowed and to be more specific (for example, you can often limit even further what the first character can be).If you use regular expressions, be sure to indicate that you want to match the beginning (usually symbolized by ^) and end (usually symbolized by $) of the data in your match. If you forget to include ^ or $, an attacker could include legal text inside their attack to bypass your check.
  2. Now, if your program needs more variety of input and the above point doesn’t fulfil the requirements then you need to make a bit more complicated regular expressions. If the data is a filename (or will be used to create one), be very restrictive. Ideally, don’t let users choose filenames, and if that won’t work, limit the characters to small patterns such as ^[A-Za-z0-9][A-Za-z0-9._\-]*$. You should consider omitting from the legal patterns characters like “/”, control characters (especially newline), and a leading “.”Similarly, you need to take care for email strings, locale specific strings. UTF-8 encoding characters et cetera. In most of the programs, complex regular expressions are good enough to validate a string. But in certain cases, a malicious input containing some script code can spoil the fun.
  3. If your program faces HTML tags or script related instructions in the input, the input should be rejected immidiately or your program might get infected with self executing malicious code. This technique is generally used in Cross Site scripting attack. (XSS attack). These problems are especially a problem for Web applications. Now, you need to again take care not to validate any input which looks like an HTML tag. The easiest way is to use above mentioned regular expressions which won’t allow the entry of ‘<’ or ‘>’ character. But if you must support some of the HTML tags like <a href=> etc, please validate them exclusively by filtering the whole string using a regex like ^(http|ftp|https)://[-A-Za-z0-9._/]+$. A pattern that allows some more complex patterns is: ^(http|ftp|https)://[-A-Za-z0-9._]+(\/([A-Za-z0-9\-\_\.\!\~\*\'\(\)\%\?]+))*/?$
  4. For more complex strings, like reading a data file, regular expressions, again, prove useful but the ideal way is to break the file into multiple chunks rather than reading it in one complete string.

To Keep your String input kept in well defined range or buffer, make sure that your program terminates it with a NULL character. This will ensure that even if a large buffer is inserted using the input, the sting will get truncated as soon as the buffer gets full and it will be protected from buffer overflow.

© Safer Code | Validating Untrusted String Inputs

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Unsafe Functions In C And Their Safer Replacements: Strings Part I

Tuesday, November 4th, 2008

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A string is a fundamental part of programs all around us. Data exchange in many forms happens in strings (e.g. user input, command line arguments, web forms, text protocols and what not.) But most programs written in C are plagued by security issues because of their usage of unsafe functions. A string is not a built-in data type in C, instead it is termed as a continguous sequence of characters terminated by a NULL character (‘\0’). Now, many of the “standard” string manipulation functions written in early part of C development took this definition by heart, assumed that a programmer always knows what he is doing (though I agree that this MUST be true), and put out a code meant to be used in an everyone-is-good world. Subsequently, the shortcomings were noticed, stronger sibling functions were created but the older ones are still supported because they are “standard”. This means that naive programmers continue to use them and put their programs’ security into jeopardy. This series will do an in-depth analysis of such unsafe functions, tell you why they are unsafe, and bring out what alternatives you have in-built and what alternatives you can create.

Our first candidate is the very famous “strcpy()”. Lets see why it is unsafe.

(more…)

© Safer Code | Unsafe Functions In C And Their Safer Replacements: Strings Part I

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Validating Untrusted Integer Inputs

Tuesday, October 21st, 2008

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If you are writing a software which exposes APIs to be used by a third party, then first thing you have to do is to make sure that all the integers parameters have been validated. Every incoming value to your function should be considered as tainted. The function should validate the input value by checking it for all possible malicious value. After the function validates the input, then only any operation on the input value should be performed.

Consider the following code sample:

void func( int size )
{
 char* str;
 
 if(size &gt; 0 )
 {
  str = (char*)malloc(size * sizeof(char*));
  size++;
  /**
  *some code to operate on this string "str"
  **/
  free(str);
 }
}

I am sure that by now, you would have identified some loop holes in this code. Now, a caller of this function can give different input values which might result in following flaws:

1) The function might get an highest input value which results in a large memory allocation for ‘char* str’ which the function never expected.
2) The function might result in memory allocation failure as there is possiblity of the system running out of memory.
3) The function might have an overflow issue due to an increment in input value which could have been equal to SIZE_MAX.
These scenarios might serve as a boon for a hacker and he/she can instigate either a denial of service or any other buffer overflow errors.

Now, Lets rework the above depicted code again.

#define MAX_SIZE_OF_STRING ( 100 )
void func( int size )
{
 char* str;
 
 if(size &gt; 0 &amp;&amp; size &lt;= MAX_SIZE_OF_STRING)
 {
  if(str == null)
  {
   str = (char*)malloc( size * sizeof(char*));
   if(size &lt; SIZE_MAX)
   {
    size++;
   }
   /**
   *some code to operate on this string "str"
   **/
  }
  if(str != null)
  {
   free(str);
  }
 }
}

Please try to notice few defensive points from the above given code.

1) We have defined a maximum size for the string. We need to do this to make sure that large chunks of memory do not get allocated. This will result in optimized memory usage and longer life of the program.
2) We have validated the input value for its range comparing against its minimum and maximum value. By doing this, We sufficed the purpose of defining the size of the string.
3) Again, we check the input variable size for its value less than SIZE_MAX (maximum value possible for an integer). By doing this, we safeguarded against an overflow. Now, the size variable can never incremented beyond the maximum value.
4) Checking for ’size > 0′ helps in making sure that non zero number of bytes are allocated in memory, in turn, saving us from memory corruption.

By adding extra defense checks or safeguards, you might contribute towards addition in code size. But isn’t it better to have a secure code rather than less code which is vulnerable to exploits.

The point I am trying to make is very simple and is not a great deal. Everyone of us know of it but we tend to ignore these minor things resulting in misuse of code. Keeping these small points in mind while coding and adding these defense checks or safeguards will definitely result in robust and secure code.

© Safer Code | Validating Untrusted Integer Inputs

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