Thursday, December 19, 2019

Reverse the String in java

Write a program to reverse the String in java ?
There are many ways to reverse String in Java. We can reverse String using StringBuffer, StringBuilder, iteration etc. Let's see the ways to reverse String in Java.
1. By Reverse Iteration

public class StringFormatter {  
public static String reverseString(String str){  
    char ch[]=str.toCharArray();  
    String rev="";  
    for(int i=ch.length-1;i>=0;i--){  
        rev+=ch[i];  
    }  
    return rev;  
}  
}  
public class TestStringFormatter {  
public static void main(String[] args) {  
    System.out.println(StringFormatter.reverseString("my name is khan"));  
    System.out.println(StringFormatter.reverseString("I am sonoo jaiswal"));      
    }  
}  
OUTPUT 
nahk si eman ym
lawsiaj oonos ma I

Wednesday, December 18, 2019

SQL Injection

Overview

SQL injection attack consists of insertion or "injection" of a SQL query via the input data from the client to the application. A successful SQL injection exploit can read sensitive data from the database, modify database data (Insert/Update/Delete), execute administration operations on the database (such as shutdown the DBMS), recover the content of a given file present on the DBMS file system and in some cases issue commands to the operating system. SQL injection attacks are a type of injection attack, in which SQL commands are injected into data-plane input in order to effect the execution of predefined SQL commands.

Threat Modeling

  • SQL injection attacks allow attackers to spoof identity, tamper with existing data, cause repudiation issues such as voiding transactions or changing balances, allow the complete disclosure of all data on the system, destroy the data or make it otherwise unavailable, and become administrators of the database server.
  • SQL Injection is very common with PHP and ASP applications due to the prevalence of older functional interfaces. Due to the nature of programmatic interfaces available, J2EE and ASP.NET applications are less likely to have easily exploited SQL injections.
  • The severity of SQL Injection attacks is limited by the attacker%u2019s skill and imagination, and to a lesser extent, defense in depth countermeasures, such as low privilege connections to the database server and so on. In general, consider SQL Injection a high impact severity.

    Related Security Activities

    How to Avoid SQL Injection Vulnerabilities

    See the OWASP SQL Injection Prevention Cheat Sheet.
    See the OWASP Query Parameterization Cheat Sheet.
    See the OWASP Guide article on how toAvoid SQL Injection Vulnerabilities.

    How to Review Code for SQL Injection Vulnerabilities

    See the OWASP Code Review Guide article on how to Review Code for SQL Injection Vulnerabilities.

    How to Test for SQL Injection Vulnerabilities

    See the OWASP Testing Guide article on how to Test for SQL InjectionVulnerabilities.

    How to Bypass Web Application Firewalls with SQLi

    See the OWASP Article on using SQL Injection to bypass a WAF

    Description

    SQL injection errors occur when:
    1. Data enters a program from an untrusted source.
    2. The data used to dynamically construct a SQL query
    The main consequences are:
    • Confidentiality: Since SQL databases generally hold sensitive data, loss of confidentiality is a frequent problem with SQL Injection vulnerabilities.
    • Authentication: If poor SQL commands are used to check user names and passwords, it may be possible to connect to a system as another user with no previous knowledge of the password.
    • Authorization: If authorization information is held in a SQL database, it may be possible to change this information through the successful exploitation of a SQL Injection vulnerability.
    • Integrity: Just as it may be possible to read sensitive information, it is also possible to make changes or even delete this information with a SQL Injectionattack.

    Risk Factors

    The platform affected can be:
    • Language: SQL
    • Platform: Any (requires interaction with a SQL database)
    SQL Injection has become a common issue with database-driven web sites. The flaw is easily detected, and easily exploited, and as such, any site or software package with even a minimal user base is likely to be subject to an attempted attack of this kind.
    Essentially, the attack is accomplished by placing a meta character into data input to then place SQL commands in the control plane, which did not exist there before. This flaw depends on the fact that SQL makes no real distinction between the control and data planes.

    Examples

    Example 1

    In SQL:
    select id, firstname, lastname from authors
    If one provided:
    Firstname: evil'ex
    Lastname: Newman
    the query string becomes:
    select id, firstname, lastname from authors where forename = 'evil'ex' and surname ='newman'
    which the database attempts to run as:
    Incorrect syntax near il' as the database tried to execute evil. 
    A safe version of the above SQL statement could be coded in Java as:
    String firstname = req.getParameter("firstname");
    String lastname = req.getParameter("lastname");
    // FIXME: do your own validation to detect attacks
    String query = "SELECT id, firstname, lastname FROM authors WHERE forename = ? and surname = ?";
    PreparedStatement pstmt = connection.prepareStatement( query );
    pstmt.setString( 1, firstname );
    pstmt.setString( 2, lastname );
    try
    {
     ResultSet results = pstmt.execute( );
    }

    Example 2

    The following C# code dynamically constructs and executes a SQL query that searches for items matching a specified name. The query restricts the items displayed to those where owner matches the user name of the currently-authenticated user.
     ...
     string userName = ctx.getAuthenticatedUserName();
     string query = "SELECT * FROM items WHERE owner = "'" 
         + userName + "' AND itemname = '"  
         + ItemName.Text + "'";
     sda = new SqlDataAdapter(query, conn);
     DataTable dt = new DataTable();
     sda.Fill(dt);
     ...
    The query that this code intends to execute follows:
     SELECT * FROM items
     WHERE owner = 
     AND itemname = ;
    However, because the query is constructed dynamically by concatenating a constant base query string and a user input string, the query only behaves correctly if itemName does not contain a single-quote character. If an attacker with the user name wiley enters the string "name' OR 'a'='a" for itemName, then the query becomes the following:
     SELECT * FROM items
     WHERE owner = 'wiley'
     AND itemname = 'name' OR 'a'='a';
    The addition of the OR 'a'='a' condition causes the where clause to always evaluate to true, so the query becomes logically equivalent to the much simpler query:
     SELECT * FROM items;
    This simplification of the query allows the attacker to bypass the requirement that the query only return items owned by the authenticated user; the query now returns all entries stored in the items table, regardless of their specified owner.

    Example 3

    This example examines the effects of a different malicious value passed to the query constructed and executed in Example 1. If an attacker with the user name hacker enters the string "name'); DELETE FROM items; --" for itemName, then the query becomes the following two queries:
     SELECT * FROM items 
     WHERE owner = 'hacker'
     AND itemname = 'name';
    
     DELETE FROM items;
    
     --'
    Many database servers, including Microsoft%uFFFD SQL Server 2000, allow multiple SQL statements separated by semicolons to be executed at once. While this attack string results in an error in Oracle and other database servers that do not allow the batch-execution of statements separated by semicolons, in databases that do allow batch execution, this type of attack allows the attacker to execute arbitrary commands against the database.
    Notice the trailing pair of hyphens (--), which specifies to most database servers that the remainder of the statement is to be treated as a comment and not executed. In this case the comment character serves to remove the trailing single-quote left over from the modified query. In a database where comments are not allowed to be used in this way, the general attack could still be made effective using a trick similar to the one shown in Example 1. If an attacker enters the string "name'); DELETE FROM items; SELECT * FROM items WHERE 'a'='a", the following three valid statements will be created:
     SELECT * FROM items 
     WHERE owner = 'hacker'
     AND itemname = 'name';
    
     DELETE FROM items;
    
     SELECT * FROM items WHERE 'a'='a';
    One traditional approach to preventing SQL injection attacks is to handle them as an input validation problem and either accept only characters from a whitelist of safe values or identify and escape a blacklist of potentially malicious values. Whitelisting can be a very effective means of enforcing strict input validation rules, but parameterized SQL statements require less maintenance and can offer more guarantees with respect to security. As is almost always the case, blacklisting is riddled with loopholes that make it ineffective at preventing SQL injection attacks. For example, attackers can:
    • Target fields that are not quoted
    • Find ways to bypass the need for certain escaped meta-characters
    • Use stored procedures to hide the injected meta-characters
    Manually escaping characters in input to SQL queries can help, but it will not make your application secure from SQL injection attacks.
    Another solution commonly proposed for dealing with SQL injection attacks is to use stored procedures. Although stored procedures prevent some types of SQL injection attacks, they fail to protect against many others. For example, the following PL/SQL procedure is vulnerable to the same SQL injection attack shown in the first example.
     procedure get_item (
      itm_cv IN OUT ItmCurTyp,
      usr in varchar2,
      itm in varchar2)
     is
      open itm_cv for ' SELECT * FROM items WHERE ' ||
        'owner = '''|| usr || 
        ' AND itemname = ''' || itm || '''';
     end get_item;
    Stored procedures typically help prevent SQL injection attacks by limiting the types of statements that can be passed to their parameters. However, there are many ways around the limitations and many interesting statements that can still be passed to stored procedures. Again, stored procedures can prevent some exploits, but they will not make your application secure against SQL injection attacks.

Working with Zip file in python(writing)

                     Working with Zip File in Python(Writing)
            
Module in Python to write zip file:   
                 The zipfile module can be used to manipulate ZIP archive files.Sometimes it is necessary to write 
                to a ZIP archive using data that did not come from an existing file. Rather than writing the data to 
                a file, then adding that file to the  ZIP archive, you can use the writestr() method to add a string 
                of bytes to the archive directly.

          Code:   
                           from zipfile_infolist import print_info
                           import zipfile

                           msg = 'This data did not exist in a file before being added to the ZIP file'
                           zf = zipfile.ZipFile('zipfile_writestr.zip', mode='w', compression=zipfile.ZIP_DEFLATED,) 
                          try:
                               zf.writestr('from_string.txt', msg)
                          finally:
                              zf.close()
                          print_info('zipfile_writestr.zip'
                          zf = zipfile.Zip File('zipfile_writestr.zip', 'r')
                          print zf.read('from_string.txt')
Output:      
                    $ python zipfile_writestr_zipinfo.py
                    from_string.txt
                    Comment:        Remarks go here
                    Modified:       2019-11-14 11:44:14
                    System:         0 (10 = Windows)
                    ZIP version:    20
                    Compressed:     62 bytes
                    Uncompressed:   64 bytes           
A directory with such a format:
                          # importing required modules
from zipfile import ZipFile
import os
  
def get_all_file_paths(directory):
  
     # initializing empty file paths list
     file_paths = []
  
     # crawling through directory and subdirectories
     for root, directories, files in os.walk(directory):
         for filename in files:
             # join the two strings in order to form the full filepath.
             filepath = os.path.join(root, filename)
             file_paths.append(filepath)
  
     # returning all file paths
     return file_paths        
  
def main():
     # path to folder which needs to be zipped
     directory = './python_files'
  
     # calling function to get all file paths in the directory
     file_paths = get_all_file_paths(directory)
  
     # printing the list of all files to be zipped
     print('Following files will be zipped:')
     for file_name in file_paths:
         print(file_name)
  
     # writing files to a zipfile
     with ZipFile('my_python_files.zip','w') as zip:
         # writing each file one by one
         for file in file_paths:
             zip.write(file)
  
     print('All files zipped successfully!')        
  
  
if __name__ == "__main__":
     main()

Output:
Following files will be zipped:
./python_files\python_basic.pdf
./python_files\python_wiki.text
./python_files\logos\python_logos.jpg
All files zipped successfully!
Explanation:
                          def get_all_file_paths(directory):
                                   file_paths = []

                                   for root, directories, files in os.walk(directory):
                                           for filename in files:
                                               filepath = os.path.join(root, filename)
                                               file_paths.append(filepath)

                                  return file_paths                              
               

Arrays in Solidity Programming Language.

Arrays Solidity supports both generic and byte arrays. It supports both fixed size and dynamic arrays. It also supports multidimensional ...