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Posted: May 14th, 2024

SQL Injection Attacks and Vulnerability Detection

TABLE OF CONTENTS

TABLE OF CONTENTS

1.0 Introduction

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2.0 SQL Injection Vulnerability Detection

3.0 SQL Injection Attacks

4.0 Experimental Set-Up

5.0 Conclusion

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6.0 References

1.0    Introduction

Breaches in security occur as a result of the exploitation of vulnerabilities within applications. Thus, the identification of vulnerabilities and assurance of security functionality is an extensively implemented methodology used to assess and progress the security of software applications [1]. Databases are widely employed within modern day software applications. However, development environments are restricted in their understanding of concurrent database and application interactions. This exposes a myriad of security, accuracy and functionality concerns which remain latent throughout application development [2]. Structured Query Language (SQL) is a commonly deployed high-level query language utilized for the updating and querying of relational Database Management Systems (DBMS). Developed in the 1970’s SQL, is a declarative language, encompassing features such as expression, clauses, statements, queries, and predicates. SQL permits the user the capacity to insert, update, query and delete database stored data [3].

Vulnerabilities encapsulates any error, loophole, bug, flaw or weakness residing within a software application, that holds the prospective for exploitation by a malicious entity in order to ascertain the unauthorized access to either application and/or the application data. SQL injection vulnerabilities are generated by the inability of a software application to authorize and sanitize user provided data which originates from an untrusted source. Consequently, the data is used to construct malevolent SQL query statements, which are subsequently executed on the underlying application database [4].  SQL injection vulnerabilities can occur across any software application platform. However, the exploitation of SQL injection vulnerabilities is predominantly conducted by an attacker upon web application frameworks.

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  1.   Web Application Architecture

Web-based applications are a multi-tiered deployment. Collectively web applications share one crucial characteristic, their interactive database-driven nature. Web applications are comprised of either software programs or web-pages that are retained within a web-server. User provided input is transmitted to the web-server in the form of a parameter statement. Each provided input is used to propagate an SQL query statement, which retrieves the specified information from the database. Authorized users are able to interact with the database over the Internet. A web-browser interface supports the interaction between web application and database as a mechanism of retrieving data as specified within the user input provided.  Each web application construction supports a three-tier architecture, in which, the operation of each tier is independent of both the machine running it and the remaining two tiers. The three-tiers within a web application architecture are [5];

Presentation Tier contains and generates the applications presentation logic. The presentation tier is the highest tier within an application and is responsible for the handling of user interaction; obtaining user provided input and delivering the conforming user comprehensible results.

Business Tier is the middle tier of an application architecture and resides between the presentation and database tiers. The business tier is a rule based logical layer, that is accountable for the comprehension of and processing of data between each tier. The business tier executes application procedural commands, which extract and transmit data to the presentation tier for user comprehension.

Database Tier is the physical database of the web application that stores all data. The database tier restricts access to the database, permitting authorized users and refusing malicious users. Stored data is housed, retrieved and transmitted via the database tier. Requested information is transmitted to the presentation tier via the business tier, for handling and subsequent user interaction.

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2.0    SQL Injection Vulnerability Detection

An SQL injection vulnerability refers to an SQL query or subsection of SQL statements that are susceptible to exploitation. With regards to web applications, exposure to vulnerability exploitation is inherent given their publicly accessible nature. Web application security can be assessed through either analysis or penetration testing.

  1.   Analysis Methodologies

Vulnerability detection mechanisms establish the manifestation of exploitation vectors within an SQL query or application. Detection mechanisms endeavor to pinpoint the precise location of the vulnerability. Vulnerability examination frequently occurs offline; however, research has indicated the requirement for run-time analysis methodologies. Upon the discovery of an application vulnerability, source code modification must occur to eliminate the vulnerability [6].  The overall threat and consequences that the exploitation of an SQL injection vulnerability ensues that the detection of such vulnerabilities is paramount in enhancing the safety of web applications. Vulnerability detection methodologies can be classified as either static or dynamic analysis or a permutation of both.

Vulnerability Detection Methodology Classification of Vulnerability Methodology
Static Analysis White-box Testing
Dynamic Analysis Black-box Testing
Static and Dynamic Analysis Grey-box Testing

Table 1: Classification of Vulnerability Detection Methodologies

Static Analysis

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Static code analysis is concerned with the identification of application vulnerabilities residing within the application source code. Static analysis is conducted with the assistance of automated static analysis tools. Automated static analysis tool function by analyzing and probing the application source code, endeavoring to pinpoint the location of concerns inclusive of, stylistic and semantic errors, security weaknesses, bugs, type checking and overall program comprehension [7]. With reference to SQL injection vulnerabilities, static analysis tools operation on the notion of preventing an attack rather than identifying an attack after it has transpired. Thus, static analysis tools parse SQL query statements, and user provided input, presented within a web application to isolate probable injection vectors as a means of preventing SQLIAs. However, a user entered SQL query that retains the correct syntactical and sematic structure, will execute irrespective of prevention mechanisms [8]. Static analysis is not restricted to the development and de-bugging phases, rather it can also be implemented as a mechanism for the protection of established applications. Though static analysis is a viable option in the detection of SQL injection vulnerabilities, it does not come without its limitations. Static analysis when implemented is solely operational prior to run time execution. As a result, vulnerabilities that occur during run-time are not identifiable by static analysis tools. Furthermore, static analysis often over detects the rate of vulnerabilities within application source code, resulting in the over reporting of false positives.

Dynamic Analysis

Dynamic analysis examines an application framework throughout run-time, to locate vulnerabilities that may transpire. Dynamic analysis occurs upon a deployed application; thus, the reporting rate of false positives is reduced. However, the deployment of dynamic analysis raises concerns regarding the reporting of false negative. Input data is introduced to the application one subsection at a time, thus, vulnerable execution paths may not be examined [9].

Static and Dynamic Analysis

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A hybrid approach combines both static and dynamic analysis as a methodology to enhance the strengths and mitigate the limitations of each methodology. The preceding detection mechanisms are evident in their capabilities of identifying potential exploitation vectors. However, the application of a hybrid approach, enhances the detection of prospective SQL injection vectors form the initiation through to the distribution of an application.

  1.   Penetration Testing

There is no one single definition of penetration testing. However, it can be regarded as the lawful attempt to identify and exploit web and/or software applications with the intention of enhancing security [10]. It encapsulates the deployment of malevolent attack techniques that emulate those employed by an adversary. Penetration testing is considered an integral instrument in ensuring application security. Penetration testing is deployed as a mechanism to identify gaps within application security, which are subsequently exploited in order to obtain sensitive information [11]. Penetration testing is categorized in three distinct type; white-box testing, black-box-testing and grey-box testing, based upon information concerning the targeted application.

White-Box Testing is a comprehensive testing mechanism, where testers are provided with complete information regarding the target application. White-box penetration testing is valuable in the deployment of targeted tests aimed at revealing all vulnerabilities and attack vectors that are feasibly identifiable. Given access to the application source code, white-box testing, similar to static analysis, is capable of identifying design, semantic and syntax errors [11].

Black-Box Testing provides testers with no information regarding the application. Black-box penetration testing is employed as a mechanism to comprehend exploitations that an adversary is capable of achieving [11].

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Grey-Box Testing attempts to apprehend the degree of access that an authorized application user may acquire at any given time [11].

Penetration testing can be applied in two distinctive approaches, manual or automated. Manual penetration testing requires the presence of a highly skilled team to oversee testing for the duration of the project. Individual exploitations must be handcrafted and applied via human interaction. Thus, manual penetration testing is no a viable option. Its complex and slow nature ensures that manual penetration testing is not an affordable option. Conversely, automated penetration testing is an efficient, uncomplex and secure alternative to manual penetration testing. Given that all processes are automated through the use of specialized tools, time and affordability concerns are diminished. Further distinctions between manual and automated penetration testing approaches are outlined in the tables below [12];

Manal Penetration Testing Automated Penetration Testing
Testing Process Labor-intensive, erratic and fault prone with no explicit requirements.

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