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SQL injection

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(Redirected from Blind SQL injection)

Classification of SQL injection attack vectors in 2010
A classification of SQL injection attacking vector as of 2010

In computing, SQL injection is a code injection technique used to attack data-driven applications, in which malicious SQL statements are inserted into an entry field for execution (e.g. to dump the database contents to the attacker).[1][2] SQL injection must exploit a security vulnerability in an application's software, for example, when user input is either incorrectly filtered for string literal escape characters embedded in SQL statements or user input is not strongly typed and unexpectedly executed. SQL injection is mostly known as an attack vector for websites but can be used to attack any type of SQL database.

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. Document-oriented NoSQL databases can also be affected by this security vulnerability.[3]

In a 2012 study, it was observed that the average web application received four attack campaigns per month, and retailers received twice as many attacks as other industries.[4]

History

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Discussions of SQL injection, such as a 1998 article in Phrack Magazine, began in the late 1990s.[5] SQL injection was considered one of the top 10 web application vulnerabilities of 2007 and 2010 by the Open Web Application Security Project.[6] In 2013, SQL injection was rated the number one attack on the OWASP top ten.[7]

Root causes

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SQL Injection is a common security vulnerability that arises from letting attacker supplied data become SQL code. This happens when programmers assemble SQL queries either by string interpolation or by concatenating SQL commands with user supplied data.

Incorrectly constructed SQL statements

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This form of injection relies on the fact that SQL statements consist of both data used by the SQL statement and commands that control how the SQL statement is executed. For example, in the SQL statement select * from person where name = 'susan' and age = 2 the string 'susan' is data and the fragment and age = 2 is an example of a command (the value 2 is also data in this example).

SQL injection occurs when specially crafted user input is processed by the receiving program in a way that allows the input to exit a data context and enter a command context. This allows the attacker to alter the structure of the SQL statement which is executed.

As a simple example, imagine that the data 'susan' in the above statement was provided by user input. The user entered the string 'susan' (without the apostrophes) in a web form text entry field, and the program used string concatenation statements to form the above SQL statement from the three fragments select * from person where name=', the user input of 'susan', and ' and age = 2.

Now imagine that instead of entering 'susan' the attacker entered ' or 1=1; --.

The program will use the same string concatenation approach with the 3 fragments of select * from person where name=', the user input of ' or 1=1; --, and ' and age = 2 and construct the statement select * from person where name='' or 1=1; -- and age = 2. Many databases will ignore the text after the '--' string as this denotes a comment. The structure of the SQL command is now select * from person where name='' or 1=1; and this will select all person rows rather than just those named 'susan' whose age is 2. The attacker has managed to craft a data string which exits the data context and entered a command context.

A more complex example is now presented.

Imagine a program creates a SQL statement using the following string assignment command :

var statement = "SELECT * FROM users WHERE name = '" + userName + "'";

This SQL code is designed to pull up the records of the specified username from its table of users. However, if the "userName" variable is crafted in a specific way by a malicious user, the SQL statement may do more than the code author intended. For example, setting the "userName" variable as: 

' OR '1'='1

or using comments to even block the rest of the query (there are three types of SQL comments[8]). All three lines have a space at the end: 

' OR '1'='1' --
' OR '1'='1' {
' OR '1'='1' /*

renders one of the following SQL statements by the parent language: 

SELECT * FROM users WHERE name = '' OR '1'='1';

SELECT * FROM users WHERE name = '' OR '1'='1' -- ';

If this code were to be used in authentication procedure then this example could be used to force the selection of every data field (*) from all users rather than from one specific user name as the coder intended, because the evaluation of '1'='1' is always true.

The following value of "userName" in the statement below would cause the deletion of the "users" table as well as the selection of all data from the "userinfo" table (in essence revealing the information of every user), using an API that allows multiple statements:

a';DROP TABLE users; SELECT * FROM userinfo WHERE 't' = 't

This input renders the final SQL statement as follows and specified: 

SELECT * FROM users WHERE name = 'a';DROP TABLE users; SELECT * FROM userinfo WHERE 't' = 't';

While most SQL server implementations allow multiple statements to be executed with one call in this way, some SQL APIs such as PHP's mysql_query() function do not allow this for security reasons. This prevents attackers from injecting entirely separate queries, but doesn't stop them from modifying queries.

Blind SQL injection

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Blind SQL injection is used when a web application is vulnerable to a SQL injection, but the results of the injection are not visible to the attacker. The page with the vulnerability may not be one that displays data but will display differently depending on the results of a logical statement injected into the legitimate SQL statement called for that page. This type of attack has traditionally been considered time-intensive because a new statement needed to be crafted for each bit recovered, and depending on its structure, the attack may consist of many unsuccessful requests. Recent advancements have allowed each request to recover multiple bits, with no unsuccessful requests, allowing for more consistent and efficient extraction.[9] There are several tools that can automate these attacks once the location of the vulnerability and the target information has been established.[10]

Conditional responses

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One type of blind SQL injection forces the database to evaluate a logical statement on an ordinary application screen. As an example, a book review website uses a query string to determine which book review to display. So the URL https://books.example.com/review?id=5 would cause the server to run the query 

SELECT * FROM bookreviews WHERE ID = '5';

from which it would populate the review page with data from the review with ID 5, stored in the table bookreviews. The query happens completely on the server; the user does not know the names of the database, table, or fields, nor does the user know the query string. The user only sees that the above URL returns a book review. A hacker can load the URLs https://books.example.com/review?id=5' OR '1'='1 and https://books.example.com/review?id=5' AND '1'='2, which may result in queries 

SELECT * FROM bookreviews WHERE ID = '5' OR '1'='1';
SELECT * FROM bookreviews WHERE ID = '5' AND '1'='2';

respectively. If the original review loads with the "1=1" URL and a blank or error page is returned from the "1=2" URL, and the returned page has not been created to alert the user the input is invalid, or in other words, has been caught by an input test script, the site is likely vulnerable to an SQL injection attack as the query will likely have passed through successfully in both cases. The hacker may proceed with this query string designed to reveal the version number of MySQL running on the server: https://books.example.com/review?id=5 AND substring(@@version, 1, INSTR(@@version, '.') - 1)=4, which would show the book review on a server running MySQL 4 and a blank or error page otherwise. The hacker can continue to use code within query strings to achieve their goal directly, or to glean more information from the server in hopes of discovering another avenue of attack.[11][12]

Second-order SQL injection

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Second-order SQL injection occurs when submitted values contain malicious commands that are stored rather than executed immediately. In some cases, the application may correctly encode a SQL statement and store it as valid SQL. Then, another part of that application without controls to protect against SQL injection might execute that stored SQL statement. This attack requires more knowledge of how submitted values are later used. Automated web application security scanners would not easily detect this type of SQL injection and may need to be manually instructed where to check for evidence that it is being attempted.

Mitigation

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An SQL injection is a well known attack and easily prevented by simple measures. After an apparent SQL injection attack on TalkTalk in 2015, the BBC reported that security experts were stunned that such a large company would be vulnerable to it.[13] Techniques like pattern matching, software testing, and grammar analysis are some common ways to mitigate these attacks.[2]

Escaping

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The simplest way to prevent injections is to escape all characters that have a special meaning in SQL. The manual for an SQL DBMS explains which characters have a special meaning, which allows creating a comprehensive blacklist of characters that need translation. For instance, every occurrence of a single quote (') in a string parameter must be prepended with a backslash (\) so that the database understands the single quote is part of a given string, rather than its terminator. PHP provides the mysqli_real_escape_string() function to escape strings according to MySQL semantics; the following example parameterizes a SQL query by escaping username and password parameters: 

$mysqli = new mysqli('hostname', 'db_username', 'db_password', 'db_name');
$query = sprintf("SELECT * FROM `Users` WHERE UserName='%s' AND Password='%s'",
                  $mysqli->real_escape_string($username),
                  $mysqli->real_escape_string($password));
$mysqli->query($query);

Depending solely on the programmer to diligently escape all query parameters presents inherent risks, given the potential for oversights in the process. To mitigate this vulnerability, programmers may opt to develop their own abstraction layers to automate the escaping of parameters.[14]

Object relational mappers

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Object–relational mapping (ORM) frameworks such as Hibernate and ActiveRecord provide an object-oriented interface for queries over a relational database. Most, if not all, ORMs, automatically handle the escaping needed to prevent SQL injection attacks, as a part of the framework's query API. However, many ORMs provide the ability to bypass their mapping facilities and emit raw SQL statements; improper use of this functionality can introduce the possibility for an injection attack.[15]

Parameterized statements

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Main article: Prepared statement

With most development platforms, parameterized statements that work with parameters can be used (sometimes called placeholders or bind variables) instead of embedding user input in the statement. A placeholder can only store a value of the given type and not an arbitrary SQL fragment. Hence the SQL injection would simply be treated as a strange (and probably invalid) parameter value. In many cases, the SQL statement is fixed, and each parameter is a scalar, not a table. The user input is then assigned (bound) to a parameter.[16]

Pattern check

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Integer, float, or Boolean string parameters can be checked to determine if their value is a valid representation of the given type. Strings that must adhere to a specific pattern or condition (e.g. dates, UUIDs, phone numbers) can also be checked to determine if said pattern is matched.

Database permissions

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Limiting the permissions on the database login used by the web application to only what is needed may help reduce the effectiveness of any SQL injection attacks that exploit any bugs in the web application.

For example, on Microsoft SQL Server, a database logon could be restricted from selecting on some of the system tables which would limit exploits that try to insert JavaScript into all the text columns in the database. 

deny select on sys.sysobjects to webdatabaselogon;
deny select on sys.objects to webdatabaselogon;
deny select on sys.tables to webdatabaselogon;
deny select on sys.views to webdatabaselogon;
deny select on sys.packages to webdatabaselogon;

Examples

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  • In February 2002, Jeremiah Jacks discovered that Guess.com was vulnerable to an SQL injection attack, permitting anyone able to construct a properly-crafted URL to pull down 200,000+ names, credit card numbers and expiration dates in the site's customer database.[17]
  • On November 1, 2005, a teenaged hacker used SQL injection to break into the site of a Taiwanese information security magazine from the Tech Target group and steal customers' information.[18]
  • On January 13, 2006, Russian computer criminals broke into a Rhode Island government website and allegedly stole credit card data from individuals who have done business online with state agencies.[19]
  • On September 19, 2007 and January 26, 2009 the Turkish hacker group "m0sted" used SQL injection to exploit Microsoft's SQL Server to hack web servers belonging to McAlester Army Ammunition Plant and the US Army Corps of Engineers respectively.[20]
  • On April 13, 2008, the Sexual and Violent Offender Registry of Oklahoma shut down its website for "routine maintenance" after being informed that 10,597 Social Security numbers belonging to sex offenders had been downloaded via an SQL injection attack[21]
  • On August 17, 2009, the United States Department of Justice charged an American citizen, Albert Gonzalez, and two unnamed Russians with the theft of 130 million credit card numbers using an SQL injection attack. In reportedly "the biggest case of identity theft in American history", the man stole cards from a number of corporate victims after researching their payment processing systems. Among the companies hit were credit card processor Heartland Payment Systems, convenience store chain 7-Eleven, and supermarket chain Hannaford Brothers.[22]
  • In July 2010, a South American security researcher who goes by the handle "Ch Russo" obtained sensitive user information from popular BitTorrent site The Pirate Bay. He gained access to the site's administrative control panel and exploited an SQL injection vulnerability that enabled him to collect user account information, including IP addresses, MD5 password hashes and records of which torrents individual users have uploaded.[23]
  • From July 24 to 26, 2010, attackers from Japan and China used an SQL injection to gain access to customers' credit card data from Neo Beat, an Osaka-based company that runs a large online supermarket site. The attack also affected seven business partners including supermarket chains Izumiya Co, Maruetsu Inc, and Ryukyu Jusco Co. The theft of data affected a reported 12,191 customers. As of August 14, 2010 it was reported that there have been more than 300 cases of credit card information being used by third parties to purchase goods and services in China.
  • On September 19 during the 2010 Swedish general election a voter attempted a code injection by hand writing SQL commands as part of a write-in vote.[24]
  • On November 8, 2010 the British Royal Navy website was compromised by a Romanian hacker named TinKode using SQL injection.[25][26]
  • On April 11, 2011, Barracuda Networks was compromised using an SQL injection flaw. Email addresses and usernames of employees were among the information obtained.[27]
  • Over a period of 4 hours on April 27, 2011, an automated SQL injection attack occurred on Broadband Reports website that was able to extract 8% of the username/password pairs: 8,000 random accounts of the 9,000 active and 90,000 old or inactive accounts.[28][29][30]
  • On June 1, 2011, "hacktivists" of the group LulzSec were accused of using SQL injection to steal coupons, download keys, and passwords that were stored in plaintext on Sony's website, accessing the personal information of a million users.[31]
  • In June 2011, PBS was hacked by LulzSec, most likely through use of SQL injection; the full process used by hackers to execute SQL injections was described in this Imperva blog.[32]
  • In July 2012 a hacker group was reported to have stolen 450,000 login credentials from Yahoo!. The logins were stored in plain text and were allegedly taken from a Yahoo subdomain, Yahoo! Voices. The group breached Yahoo's security by using a "union-based SQL injection technique".[33][34]
  • On October 1, 2012, a hacker group called "Team GhostShell" published the personal records of students, faculty, employees, and alumni from 53 universities, including Harvard, Princeton, Stanford, Cornell, Johns Hopkins, and the University of Zurich on pastebin.com. The hackers claimed that they were trying to "raise awareness towards the changes made in today's education", bemoaning changing education laws in Europe and increases in tuition in the United States.[35]
  • On November 4, 2013, hacktivist group "RaptorSwag" allegedly compromised 71 Chinese government databases using an SQL injection attack on the Chinese Chamber of International Commerce. The leaked data was posted publicly in cooperation with Anonymous.[36]
  • In August 2014, Milwaukee-based computer security company Hold Security disclosed that it uncovered a theft of confidential information from nearly 420,000 websites through SQL injections.[37] The New York Times confirmed this finding by hiring a security expert to check the claim.[38]
  • In October 2015, an SQL injection attack was used to steal the personal details of 156,959 customers from British telecommunications company TalkTalk's servers, exploiting a vulnerability in a legacy web portal.[39]
  • In early 2021, 70 gigabytes of data was exfiltrated from the far-right website Gab through an SQL injection attack. The vulnerability was introduced into the Gab codebase by Fosco Marotto, Gab's CTO.[40] A second attack against Gab was launched the next week using OAuth2 tokens stolen during the first attack.[41]
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  • A 2007 xkcd cartoon involved a character Robert'); DROP TABLE Students;-- named to carry out an SQL injection. As a result of this cartoon, SQL injection is sometimes informally referred to as "Bobby Tables".[42][43]
  • Unauthorized login to websites by means of SQL injection forms the basis of one of the subplots in J.K. Rowling's 2012 novel The Casual Vacancy.
  • In 2014, an individual in Poland legally renamed his business to Dariusz Jakubowski x'; DROP TABLE users; SELECT '1 in an attempt to disrupt operation of spammers' harvesting bots.[44]
  • The 2015 game Hacknet has a hacking program called SQL_MemCorrupt. It is described as injecting a table entry that causes a corruption error in an SQL database, then queries said table, causing an SQL database crash and core dump.

See also

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References

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  1. ^ Microsoft. "SQL Injection". Archived from the original on August 2, 2013. Retrieved August 4, 2013. SQL injection is an attack in which malicious code is inserted into strings that are later passed to an instance of SQL Server for parsing and execution. Any procedure that constructs SQL statements should be reviewed for injection vulnerabilities because SQLi Server will execute all syntactically valid queries that it receives. Even parameterized data can be manipulated by a skilled and determined attacker.
  2. ^ a b Zhuo, Z.; Cai, T.; Zhang, X.; Lv, F. (April 2021). "Long short-term memory on abstract syntax tree for SQL injection detection". IET Software. 15 (2): 188–197. doi:10.1049/sfw2.12018. ISSN 1751-8806. S2CID 233582569.
  3. ^ "Hacking NodeJS and MongoDB | Websecurify Blog". Retrieved November 15, 2023.
  4. ^ Imperva (July 2012). "Imperva Web Application Attack Report" (PDF). Archived from the original (PDF) on September 7, 2013. Retrieved August 4, 2013. Retailers suffer 2x as many SQL injection attacks as other industries. / While most web applications receive 4 or more web attack campaigns per month, some websites are constantly under attack. / One observed website was under attack 176 out of 180 days, or 98% of the time.
  5. ^ Jeff Forristal (signing as rain.forest.puppy) (December 25, 1998). "NT Web Technology Vulnerabilities". Phrack Magazine. 8 (54 (article 8)). Archived from the original on March 19, 2014.
  6. ^ "Category:OWASP Top Ten Project". OWASP. Archived from the original on May 19, 2011. Retrieved June 3, 2011.
  7. ^ "Category:OWASP Top Ten Project". OWASP. Archived from the original on October 9, 2013. Retrieved August 13, 2013.
  8. ^ "How to Enter SQL Comments" (PDF), IBM Informix Guide to SQL: Syntax, IBM, pp. 13–14, archived from the original (PDF) on February 24, 2021, retrieved June 4, 2018
  9. ^ "Extracting Multiple Bits Per Request From Full-blind SQL Injection Vulnerabilities". Hack All The Things. Archived from the original on July 8, 2016. Retrieved July 8, 2016.
  10. ^ "Using SQLBrute to brute force data from a blind SQL injection point". Justin Clarke. Archived from the original on June 14, 2008. Retrieved October 18, 2008.
  11. ^ macd3v. "Blind SQL Injection tutorial". Archived from the original on December 14, 2012. Retrieved December 6, 2012.{{cite web}}: CS1 maint: numeric names: authors list (link)
  12. ^ Andrey Rassokhin; Dmitry Oleksyuk. "TDSS botnet: full disclosure". Archived from the original on December 9, 2012. Retrieved December 6, 2012.
  13. ^ "Questions for TalkTalk - BBC News". BBC News. October 26, 2015. Archived from the original on October 26, 2015. Retrieved October 26, 2015.
  14. ^ "Transparent query layer for MySQL". Robert Eisele. November 8, 2010.
  15. ^ "SQL Injection Attacks & Prevention: Complete Guide". appsecmonkey.com. February 13, 2021. Retrieved February 24, 2021.
  16. ^ "SQL Injection Prevention Cheat Sheet". Open Web Application Security Project. Archived from the original on January 20, 2012. Retrieved March 3, 2012.
  17. ^ "Guesswork Plagues Web Hole Reporting". SecurityFocus. March 6, 2002. Archived from the original on July 9, 2012.
  18. ^ "WHID 2005-46: Teen uses SQL injection to break to a security magazine web site". Web Application Security Consortium. November 1, 2005. Archived from the original on January 17, 2010. Retrieved December 1, 2009.
  19. ^ "WHID 2006-3: Russian hackers broke into a RI GOV website". Web Application Security Consortium. January 13, 2006. Archived from the original on February 13, 2011. Retrieved May 16, 2008.
  20. ^ "Anti-U.S. Hackers Infiltrate Army Servers". Information Week. May 29, 2009. Archived from the original on December 20, 2016. Retrieved December 17, 2016.
  21. ^ Alex Papadimoulis (April 15, 2008). "Oklahoma Leaks Tens of Thousands of Social Security Numbers, Other Sensitive Data". The Daily WTF. Archived from the original on May 10, 2008. Retrieved May 16, 2008.
  22. ^ "US man 'stole 130m card numbers'". BBC. August 17, 2009. Archived from the original on August 18, 2009. Retrieved August 17, 2009.
  23. ^ "The pirate bay attack". July 7, 2010. Archived from the original on August 24, 2010.
  24. ^ "Did Little Bobby Tables migrate to Sweden?". Alicebobandmallory.com. Archived from the original on July 1, 2012. Retrieved June 3, 2011.
  25. ^ "Royal Navy website attacked by Romanian hacker". BBC News. November 8, 2010. Archived from the original on November 9, 2010. Retrieved November 15, 2023.
  26. ^ Sam Kiley (November 25, 2010). "Super Virus A Target For Cyber Terrorists". Archived from the original on November 28, 2010. Retrieved November 25, 2010.
  27. ^ "Hacker breaks into Barracuda Networks database". Archived from the original on July 27, 2011.
  28. ^ "site user password intrusion info". Dslreports.com. Archived from the original on October 18, 2012. Retrieved June 3, 2011.
  29. ^ "DSLReports says member information stolen". Cnet News. April 28, 2011. Archived from the original on March 21, 2012. Retrieved April 29, 2011.
  30. ^ "DSLReports.com breach exposed more than 100,000 accounts". The Tech Herald. April 29, 2011. Archived from the original on April 30, 2011. Retrieved April 29, 2011.
  31. ^ "LulzSec hacks Sony Pictures, reveals 1m passwords unguarded", electronista.com, June 2, 2011, archived from the original on June 6, 2011, retrieved June 3, 2011
  32. ^ "Imperva.com: PBS Hacked - How Hackers Probably Did It". Archived from the original on June 29, 2011. Retrieved July 1, 2011.
  33. ^ Ngak, Chenda. "Yahoo reportedly hacked: Is your account safe?". CBS News. Archived from the original on July 14, 2012. Retrieved July 16, 2012.
  34. ^ Yap, Jamie (July 12, 2012). "450,000 user passwords leaked in Yahoo breach". ZDNet. Archived from the original on July 2, 2014. Retrieved February 18, 2017.
  35. ^ Perlroth, Nicole (October 3, 2012). "Hackers Breach 53 Universities and Dump Thousands of Personal Records Online". New York Times. Archived from the original on October 5, 2012.
  36. ^ Kovacs, Eduard (November 4, 2013). "Hackers Leak Data Allegedly Stolen from Chinese Chamber of Commerce Website". Softpedia News. Archived from the original on March 2, 2014. Retrieved February 27, 2014.
  37. ^ Damon Poeter. 'Close-Knit' Russian Hacker Gang Hoards 1.2 Billion ID Creds Archived July 14, 2017, at the Wayback Machine, PC Magazine, August 5, 2014
  38. ^ Nicole Perlroth. Russian Gang Amasses Over a Billion Internet Passwords Archived February 27, 2017, at the Wayback Machine, The New York Times, August 5, 2014.
  39. ^ "TalkTalk gets record £400,000 fine for failing to prevent October 2015 attack". October 5, 2016. Archived from the original on October 24, 2016. Retrieved October 23, 2016.
  40. ^ Goodin, Dan (March 2, 2021). "Rookie coding mistake prior to Gab hack came from site's CTO". Ars Technica.
  41. ^ Goodin, Dan (March 8, 2021). "Gab, a haven for pro-Trump conspiracy theories, has been hacked again". Ars Technica.
  42. ^ Munroe, Randall. "XKCD: Exploits of a Mom". Archived from the original on February 25, 2013. Retrieved February 26, 2013.
  43. ^ "The Bobby Tables Guide to SQL Injection". September 15, 2009. Archived from the original on November 7, 2017. Retrieved October 30, 2017.
  44. ^ "Jego firma ma w nazwie SQL injection. Nie zazdrościmy tym, którzy będą go fakturowali ;)". Niebezpiecznik (in Polish). September 11, 2014. Archived from the original on September 24, 2014. Retrieved September 26, 2014.
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