Difference between revisions of "Top 10 2013-A1-Injection"

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     <td {{Template:Top 10 2010:SummaryTableRowStyleTemplate}}>Consider anyone who can send untrusted data to the system, including external users, internal users, and administrators.</td>
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     <td {{Template:Top 10 2010:SummaryTableRowStyleTemplate}}>Attacker sends simple text-based attacks that exploit the syntax of the targeted interpreter. Almost any source of data can be an injection vector, including internal sources</td>
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     <td colspan=2  {{Template:Top 10 2010:SummaryTableRowStyleTemplate}}>Injection flaws occur when an application sends untrusted data to an interpreter. Injection flaws are very prevalent, particularly in legacy code, often found in SQL queries, LDAP queries, XPath queries, OS commands, program arguments, etc. Injection flaws are easy to discover when examining code, but more difficult via testing. Scanners and fuzzers can help attackers find them.</td>
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     <td {{Template:Top 10 2010:SummaryTableRowStyleTemplate}}>Injection can result in data loss or corruption, lack of accountability, or denial of access. Injection can sometimes lead to complete host takeover.</td>
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     <td {{Template:Top 10 2010:SummaryTableRowStyleTemplate}}>Consider the business value of the affected data and the platform running the interpreter. All data could be stolen, modified, or deleted. Could your reputation be harmed?</td>
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The best way to find out if an application is vulnerable to injection is to verify that all use of interpreters clearly separates untrusted data from the command or query. For SQL calls, this means using bind variables in all prepared statements and stored procedures, and avoiding dynamic queries.
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Checking the code is a fast and accurate way to see if the application uses interpreters safely. Code analysis tools can help a security analyst find the use of interpreters and trace the data flow through the application. Manual penetration testers can confirm these issues by crafting exploits that confirm the vulnerability.
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Automated dynamic scanning which exercises the application may provide insight into whether some exploitable injection problems exist. Scanners cannot always reach interpreters and can have difficulty detecting whether an attack was successful.
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Preventing injection requires keeping untrusted data separate from commands and queries.
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#The preferred option is to use a safe API which avoids the use of the interpreter entirely or provides a parameterized interface. Beware of APIs, such as stored procedures, that appear parameterized, but may still allow injection under the hood.
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#If a parameterized API is not available, you should carefully escape special characters using the specific escape syntax for that interpreter. [[ESAPI | OWASP's ESAPI]] has some of these [http://owasp-esapi-java.googlecode.com/svn/trunk_doc/latest/org/owasp/esapi/Encoder.html escaping routines].
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#Positive or "whitelist" input validation with appropriate canonicalization also helps protect against injection, but is '''not''' a complete defense as many applications require special characters in their input. [[ESAPI | OWASP's ESAPI]] has an extensible library of [http://owasp-esapi-java.googlecode.com/svn/trunk_doc/latest/org/owasp/esapi/Validator.html white list input validation routines].
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The application uses untrusted data in the construction of the following vulnerable SQL call:
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{{Top_10_2010:ExampleBeginTemplate}}<span style="color:red;">String query = "SELECT * FROM accounts WHERE custID='" + request.getParameter("id") +"'";</span>{{Top_10_2010:ExampleEndTemplate}}
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The attacker modifies the 'id' parameter in their browser to send: ' or '1'='1. This changes the meaning of the query to return all the records from the accounts database, instead of only the intended customer's.
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{{Top_10_2010:ExampleBeginTemplate}}<nowiki>http://example.com/app/accountView?id=</nowiki><span style="color: red;">' or '1'='1</span>{{Top_10_2010:ExampleEndTemplate}}
 
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In the worst case, the attacker uses this weakness to invoke special stored procedures in the database, allowing a complete takeover of the database host.
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* [[SQL_Injection_Prevention_Cheat_Sheet | OWASP SQL Injection Prevention Cheat Sheet]]
 
* [[SQL_Injection_Prevention_Cheat_Sheet | OWASP SQL Injection Prevention Cheat Sheet]]
* [[Command_Injection | OWASP Injection Flaws Article]]
 
 
* [http://owasp-esapi-java.googlecode.com/svn/trunk_doc/latest/org/owasp/esapi/Encoder.html ESAPI Encoder API]
 
* [http://owasp-esapi-java.googlecode.com/svn/trunk_doc/latest/org/owasp/esapi/Encoder.html ESAPI Encoder API]
* [http://owasp-esapi-java.googlecode.com/svn/trunk_doc/latest/org/owasp/esapi/Validator.html ESAPI Input Validation API]
 
* [http://www.owasp.org/index.php/ASVS#tab=Downloads ASVS: Output Encoding/Escaping Requirements (V6)]
 
* [[Testing_for_SQL_Injection_(OWASP-DV-005) | OWASP Testing Guide: Chapter on SQL Injection Testing]]
 
* [[Reviewing_Code_for_SQL_Injection | OWASP Code Review Guide: Chapter on SQL Injection]]
 
* [[Reviewing_Code_for_OS_Injection | OWASP Code Review Guide: Command Injection]]
 
 
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* [http://cwe.mitre.org/data/definitions/77.html CWE Entry 77 on Command Injection]
 
* [http://cwe.mitre.org/data/definitions/77.html CWE Entry 77 on Command Injection]

Revision as of 13:03, 10 February 2013

TEMPORARY PLACEHOLDER for 2013 T10

[[Top 10 {{{year}}}-Main|← Main]]
2013 Table of Contents

2013 Top 10 List

[[Top 10 {{{year}}}-A2-Cross-Site Scripting (XSS)|A2-Cross-Site Scripting (XSS) →]]
Threat Agents Attack Vectors Security Weakness Technical Impacts Business Impacts
Application Specific Exploitability
EASY
Prevalence
COMMON
Detectability
AVERAGE
Impact
SEVERE
Application / Business Specific
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Am I Vulnerable To 'Injection'?

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How Do I Prevent 'Injection'?

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Example Attack Scenarios

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http://example.com/app/accountView?id=' or '1'='1

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References

OWASP

External

[[Top 10 {{{year}}}-Main|← Main]]
2013 Table of Contents

2013 Top 10 List

[[Top 10 {{{year}}}-A2-Cross-Site Scripting (XSS)|A2-Cross-Site Scripting (XSS) →]]

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