“SQL injection” papers · AI for Research

sql-injection

Kaven · Hugging Face · 2024

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In this chapter, you will see that exploiting buffer overflow vulnerabilities in C programs is not the only way for an attacker to take control of a running system. Rather, an attacker might exploit a different class of vulnerabilities that can arise when untrusted data is evaluated in the context of a command or query language. Here, you’ll study SQL injection vulnerabilities as an example of this class of security issues. SQL injection vulnerabilities can affect applications that use untrusted input in an SQL query made to a database back end without taking precautions to sanitize the data.

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SQL Injection

Prof. P. S. Gawali, Sajid Shaikh, Pranav M. Pawar et al. · International Journal of Advanced Research in Science Communication and Technology · 2022

SQL Injection (SQLi) could also be a kind of an injection attack that makes it possible to execute malicious SQL statements. These statements control a database server behind an internet application. Attackers can use SQL Injection vulnerabilities to bypass application security measures. They can go around authentication and authorization of an internet page or web application and retrieve the content of the entire SQL database. They can also use SQL Injection to feature, modify, and delete records within the database.

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SQL Injection

Amit Klein, Director Of Security · 2003

This paper describes a Blind XPath Injection attack that enables an attacker to extract a complete XML document used for XPath querying- without prior knowledge of the XPath query. The attack is “complete ” since all possible data is exposed. The attack makes use of two techniques – XPath crawling, and Booleanization of XPath queries. Using this attack, it is possible to get hold of the XML “database ” used in the XPath query. This can be most powerful against sites that use XPath queries (and XML “databases”) for authentication, searching, and other uses. Compared to the SQL injection attacks, XPath Injection has the following upsides: • Since XPath is a standard (yet rich) language, it is possible to carry the attack ‘as-is ’ for any XPath implementation. This is in contrast to SQL injection where different implementations have different SQL dialects (there is a common SQL language, but it is often too weak). • The XPath language can reference practically all parts of the XML document without access control restrictions, whereas with SQL, a &amp;quot;user &amp;quot; (which is a

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Superviz25-SQL: SQL Injection Detection Dataset

Grégor Quétel, Laurent Pautet, Éric Alata et al. · Zenodo (CERN European Organization for Nuclear Research) · 2025

Dataset Description Superviz25-SQL is an SQL Injection Detection Dataset made to evaluate unsupervised SQL Injection detection techniques. The dataset allows to compare the capability of mechanisms trained on the benign workload of a specific database deployment to detect SQL Injection attack targeting this deployment. We provide a test and train split, the train set consists of 335306 benign queries. The test set comprise 3017390 normal samples and 336281 malicious samples (90:10). Some queries typical of insider attacks are also contained in the dataset (n=1089). The dataset offers more than the SQL query and its label as extended metadata is provided to facilitate the comparison of detection approaches. For instance the attack technique information allows to compare the effectiveness of detection mechanism across existing SQL Injection techniques. Furthermore, the user input field allows the comparison of approaches basing their detection on full queries to those solely using the user inputs. The code used for the generation of this dataset is available at gquetel/sqlia-dataset. If you use this dataset, please acknowledge it by citing the original paper: Grégor Quetel, Eric Alata, Pierre-François Gimenez, Thomas Robert, Laurent Pautet. Superviz25-SQL: high-quality dataset to empower unsupervised SQL injection detection systems. 1st International Workshop on Assessment with New methodologies, Unified Benchmarks, and environments, of Intrusion detection and response Systems (ANUBIS), Sep 2025, Toulouse, France. ⟨hal-05314211⟩ This work has been partially supported by the French National Research Agency under the France 2030 label (Superviz ANR-22-PECY-0008). The views reflected herein do not necessarily reflect the opinion of the French government. Usage The proposed training and testing sets can easily be loaded using python and pandas as follows: import pandas as pd df = pd.read_csv( "dataset.csv", dtype={ "full_query": str, "label": int, "user_inputs": str, "attack_stage": str, "tamper_method": str, "attack_status": str, "statement_type": str, "query_template_id": str, "attack_id": str, "attack_technique": str, "split": str, }, ) df_train = df[df["split"] == "train"] df_test = df[df["split"] == "test"]

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Exploiting SQL Injection

Justin Clarke · Elsevier eBooks · 2009

Cited by 8

Вразливості SQL-injection

Світлана Клименко, Ілля Тремба · SHILAP Revista de lepidopterología · 2023

SQL-injection (SQLi) це ін’єкційна атака, яка дозволяє втручатися в запити, які програма робить до своєї бази даних, і як зрозуміло з назви, запити відбуваються через стандартизовану мову запитів SQL. Часто це дозволяє зловмиснику переглядати дані, які вони зазвичай не можуть отримати такі як дані, що належать іншим користувачам, або будь-які інші дані, до яких має доступ сама програма. Незважаючи на те, що є інші типи ін’єкційних вразливостей (ін’єкція заголовка HTTP, ін’єкція коду, команди т. п.) SQLi є більш відомою та привабливою для використання зловмисниками при атаках на веб-додатки. Трохи нижче ми розглянемо статистику вразливостей та наслідки реалізації SQLi [1]. Уразливість SQLi може вплинути на будь-який веб-сайт або веб-програму, яка використовує базу даних SQL, таку як MySQL, Oracle, SQL Server або інші. SQL – це мова запитів, які керують даними, котрі зберігаються в реляційних базах даних, її можна використати для доступу, видалення або зміни даних. У деяких випадках можливо використати команди SQL для запуску команд операційної системи, а також враховуючи, що частина веб-сайтів та веб-додатків, які зберігають усі дані в базах даних SQL досить велика, то успішна атака SQLi може мати дуже серйозні наслідки. Спектр використання ін’єкції досить широкий. Злочинці можуть використовувати цю уразливість для отримання несанкціонованого доступу до ваших конфіденційних даних: інформації про клієнтів, особистих даних, комерційної таємниці, інтелектуальної власності тощо. Отже, успішна реалізація SQLi може порушити конфіденційність (приватні дані користувачів або компанії), цілісність (внесення змін до системи або видалення інформації з неї), автентифікацію (можливе підключення до системи як інший користувач без попереднього знання паролю), авторизацію (зміна інформації про авторизацію, якщо вона зберігається в базі даних SQL).

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25 SQL-Injection

SQL · 2023

No AccessSQLNov 202325 SQL-Injectionhttps://doi.org/10.3139/9783446479197.025SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF ShareFacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2023 Pages: 383-394Print ISBN: 978-3-446-47913-5eISBN: 978-3-446-47919-7 PDF downloadLoading ...

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Вразливості SQL-injection

Svitlana Klymenko, Illia Tremba, Світлана Клименко et al. · Challenges and Issues of Modern Science · 2023

SQL injection (SQLi) is an injection attack that allows interfering with the queries a program makes to its database, and as the name suggests, the queries happen through the standardized SQL query language. Often, this allows an attacker to view data they wouldn't typically have access to, such as data belonging to other users, or any other data the program itself has access to. Despite there being other types of injection vulnerabilities (HTTP header injection, code injection, command injection, etc.), SQLi is more widely known and attractive for attackers when targeting web applications. Below, we will discuss vulnerability statistics and the consequences of SQLi implementation [1]. SQLi vulnerability can affect any website or web application that uses an SQL database, such as MySQL, Oracle, SQL Server, or others. SQL is a query language that manages data stored in relational databases, and it can be used to access, delete, or modify data. In some cases, it's possible to use SQL commands to execute operating system commands. Considering that a significant portion of websites and web applications store all data in SQL databases, a successful SQLi attack can have very serious consequences. The scope of injection usage is quite broad. Criminals can exploit this vulnerability to gain unauthorized access to your confidential data: customer information, personal data, trade secrets, intellectual property, etc. Therefore, successful implementation of SQLi can compromise confidentiality (private user or company data), integrity (making changes to the system or deleting information from it), authentication (potential connection to the system as another user without prior knowledge of the password), and authorization (changing authorization information if it is stored in the SQL database).

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SQL-injection vulnerabilities

Світлана Клименко, Ілля Тремба · 2023

SQL-injection (SQLi) це ін’єкційна атака, яка дозволяє втручатися в запити, які програма робить до своєї бази даних, і як зрозуміло з назви, запити відбуваються через стандартизовану мову запитів SQL. Часто це дозволяє зловмиснику переглядати дані, які вони зазвичай не можуть отримати такі як дані, що належать іншим користувачам, або будь-які інші дані, до яких має доступ сама програма. Незважаючи на те, що є інші типи ін’єкційних вразливостей (ін’єкція заголовка HTTP, ін’єкція коду, команди т. п.) SQLi є більш відомою та привабливою для використання зловмисниками при атаках на веб-додатки. Трохи нижче ми розглянемо статистику вразливостей та наслідки реалізації SQLi [1]. Уразливість SQLi може вплинути на будь-який веб-сайт або веб-програму, яка використовує базу даних SQL, таку як MySQL, Oracle, SQL Server або інші. SQL – це мова запитів, які керують даними, котрі зберігаються в реляційних базах даних, її можна використати для доступу, видалення або зміни даних. У деяких випадках можливо використати команди SQL для запуску команд операційної системи, а також враховуючи, що частина веб-сайтів та веб-додатків, які зберігають усі дані в базах даних SQL досить велика, то успішна атака SQLi може мати дуже серйозні наслідки. Спектр використання ін’єкції досить широкий. Злочинці можуть використовувати цю уразливість для отримання несанкціонованого доступу до ваших конфіденційних даних: інформації про клієнтів, особистих даних, комерційної таємниці, інтелектуальної власності тощо. Отже, успішна реалізація SQLi може порушити конфіденційність (приватні дані користувачів або компанії), цілісність (внесення змін до системи або видалення інформації з неї), автентифікацію (можливе підключення до системи як інший користувач без попереднього знання паролю), авторизацію (зміна інформації про авторизацію, якщо вона зберігається в базі даних SQL).

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injection sql pdf

taqonqfk · Zenodo (CERN European Organization for Nuclear Research) · 2024

&lt;pre&gt;&lt;code&gt;\n&lt;p&gt;&lt;strong&gt;injection sql pdf&lt;/strong&gt;&lt;br&gt;&lt;/p&gt;\n&lt;p&gt;Rating: 4.9 / 5 (2225 votes)&lt;br&gt;&lt;/p&gt;\n&lt;p&gt;Downloads: 5573&lt;br&gt;&lt;br&gt;&lt;/p&gt;\n &lt;p&gt;= = = = = \n&lt;strong&gt;&lt;a href="https://tds11111.com/21Nr9y?keyword=injection sql pdf" target="_blank"&gt;CLICK HERE TO DOWNLOAD&lt;/a&gt;&lt;/strong&gt;\n = = = = = &lt;br&gt;&lt;br&gt;&lt;/p&gt;\n&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;\n&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;\n&lt;p&gt;&lt;br&gt;&lt;br&gt;In general, command injection vulnerabilities can arise when SQL injection is a code injection technique that exploits the vulnerabilities in the interface between applications and database servers. To SQL to detect injection attacks, raise alerts when required, and block injection attacks from reaching the database. So, if you have a vulnerability that permits SQL Injection attacks, you have an SQL Injection vulnerability What Are SQL Injection Attacks. The core of the attack is that an SQL command is appended to the back end of a form field in the or appli-cation front end (usually through a site), with the intent of Over here, we present the extensive review for the Advanced SQL Injection attack such as Fast Flux Sql Injection, Compounded SQL Injection and Deep Blind SQL Injection. Oracle Database security provides two approaches to filter SQL Injection Browser sends malicious input to server Bad input checking leads to malicious SQL query XSS – Cross-site scripting Bad site sends innocent victim a script that steals information from an honest site CSRF – Cross-site request forgery Bad site sends request to good site, using credentials of an innocent That defect results in a security vulnerability (or just vulnerability) A vulnerability is a weakness for certain types of attacks on the security of the application. SQL INJECTION FAQ. What SQL servers are affected by SQL injections? This SQL injection cheat sheet contains examples of useful syntax that you can use to perform a variety of tasks that often arise when performing exploit the SQL injection vulnerabilities, demonstrate the damage that can be achieved by the attack, and master the techniques that can help defend against such type of attacks An SQL Injection Attack is probably the easiest attack to prevent, while being one of the least protected against forms of attack. SQL injections happen when: Your code uses unsanitized data from user input in SQL statements. A malicious user includes SQL elements in the input in a tricky way. SQL injections happen when: Your code uses unsanitized data from user input in SQL statements. What Are SQL Injection Attacks. One of the possible attack types is an SQL Injection. SQL injection ("Improper Neutralization of Special Elements Used in an SQL Command") is at the top of the most recent CWE/SANS TopMost Dangerous Software Errors list and must be taken seriously. The core of the attack is that an SQL command Structured Query Language (SQL) injection is a technique us ed to take advantage of non-validated input vulnerabilities to pass SQL commands through a application for SQL injection is a type of a more general class of vulnerabilities, referred to as command injection vulnerabilities. A malicious user includes SQL SQL injection cheat sheet. [1] SQL injection occurs when untrusted user-supplied data is entered into a SQL injection occurs when an application fails to sanitize untrusted data (such as data in form fields) in a database query. A successful assault results in severe repercussions for the What Is an SQL Injection Attack? An SQL Injection Attack is probably the easiest attack to prevent, while being one of the least protected against forms of attack. Your code executes these SQL elements as part of legitimate SQL statements. We also analyze the detection and prevention using the classical methods as well as modern approaches The vulnerability is present when user's The SQL injection query attack (SQLi) is the -based vulnera bility that allows the attackers to spoof the identity, destroy the data presented on the database server, Insert What Is a SQL Injection Attack? Attackers can use SQL injection on an application if it has dynamic database queries that use string concatenation and user supplied input. An attacker can use specially-crafted SQL commands to trick the application into asking the database to execute unexpected commands% By using SQL injection, intruders can steal sensitive data, change or remove important data without the owners legal permission.&lt;/p&gt;&lt;/code&gt;&lt;/pre&gt;

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Lateral SQL injection

Anna Kotulla · 2009

One of the methods to attack through the web applications with a database in the data layer is the injection of SQL code, which is transferred from the application to the database. A new technique of SQL injection, the lateral SQL injection, is discussed in this paper. This paper describes also the methods to protect again this kind of SQL injection.

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Defeating SQL Injection

Lwin Khin Shar, Hee Beng Kuan Tan · Computer · 2012

The best strategy for combating SQL injection, which has emerged as the most widespread website security risk, calls for integrating defensive coding practices with both vulnerability detection and runtime attack prevention methods.

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SQL Injection Attacks

Denny Cherry, Thomas LaRock · Elsevier eBooks · 2011

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SQL Injection Defenses

Martin Nystrom · CERN Document Server (European Organization for Nuclear Research) · 2007

This Short Cut introduces you to how SQL injection vulnerabilities work, what makes applications vulnerable, and how to protect them. It helps you find your vulnerabilities with analysis and testing tools and describes simple approaches for fixing them in the most popular web-programming languages. This Short Cut also helps you protect your live applications by describing how to monitor for and block attacks before your data is stolen. Hacking is an increasingly criminal enterprise, and web applications are an attractive path to identity theft. If the applications you build, manage, or guar

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SQL Injection Strategies

Galluccio, Ettore · CERN Document Server (European Organization for Nuclear Research) · 2020

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SQL/NoSQL Injection ????????? ?????? ?????? ?????? ????????? ?????? ??? ??????

????????? · The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry) · 2014

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Superviz25-SQL: SQL Injection Detection Dataset

Quetel, Grégor, Pautet, Laurent, Alata, Eric et al. · Zenodo (CERN European Organization for Nuclear Research) · 2025

Dataset Description Superviz25-SQL is an SQL Injection Detection Dataset made to evaluate unsupervised SQL Injection detection techniques. The dataset allows to compare the capability of mechanisms trained on the benign workload of a specific database deployment to detect SQL Injection attack targeting this deployment. We provide a test and train split, the train set consists of 335306 benign queries. The test set comprise 3017390 normal samples and 336281 malicious samples (90:10). Some queries typical of insider attacks are also contained in the dataset (n=1089). The dataset offers more than the SQL query and its label as extended metadata is provided to facilitate the comparison of detection approaches. For instance the attack technique information allows to compare the effectiveness of detection mechanism across existing SQL Injection techniques. Furthermore, the user input field allows the comparison of approaches basing their detection on full queries to those solely using the user inputs. The code used for the generation of this dataset is available at gquetel/sqlia-dataset. If you use this dataset, please acknowledge it by citing the original paper: Grégor Quetel, Eric Alata, Pierre-François Gimenez, Thomas Robert, Laurent Pautet. Superviz25-SQL: high-quality dataset to empower unsupervised SQL injection detection systems. 1st International Workshop on Assessment with New methodologies, Unified Benchmarks, and environments, of Intrusion detection and response Systems (ANUBIS), Sep 2025, Toulouse, France. ⟨hal-05314211⟩ This work has been partially supported by the French National Research Agency under the France 2030 label (Superviz ANR-22-PECY-0008). The views reflected herein do not necessarily reflect the opinion of the French government. Usage The proposed training and testing sets can easily be loaded using python and pandas as follows: import pandas as pd df = pd.read_csv( "dataset.csv", dtype={ "full_query": str, "label": int, "user_inputs": str, "attack_stage": str, "tamper_method": str, "attack_status": str, "statement_type": str, "query_template_id": str, "attack_id": str, "attack_technique": str, "split": str, }, ) df_train = df[df["split"] == "train"] df_test = df[df["split"] == "test"]

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SQL injection attacks

Jene Wrightes · Advances in Engineering Innovation · 2023

SQL Injection (SQLi) attacks continue to pose significant threats to modern web applications, compromising data integrity and confidentiality. This research delves into the development and evaluation of methodologies designed to detect and mitigate these malicious attacks. Employing a diverse set of web applications, the study unfolds in a controlled environment, simulating real-world conditions to assess the effectiveness of current defense mechanisms against SQLi. Building upon this baseline, the research introduces a two-pronged defense mechanism: a Static Analysis Tool to pre-emptively identify vulnerabilities in application code and a Runtime Query Sanitizer that employs rule-based patterns and machine learning models to scrutinize and sanitize SQL queries in real-time. Performance evaluation metrics, encompassing detection rate, false positives, response time, and machine learning efficiency, are meticulously documented. Further robustness of these mechanisms is ascertained through real-world simulations involving unsuspecting users and ethical hackers. Initial results indicate promising potential for the introduced methodologies in safeguarding web applications against SQLi attacks. The study's findings serve as a critical step towards fortifying web applications, emphasizing the amalgamation of static analysis and real-time query sanitization as an effective countermeasure against SQLi threats.

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