20172017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)Requires access

A second-order SQL injection detection method

Ping Chen

Open publisher page 24 citations

Abstract

Second-order SQL injection is a serious threat to Web application and it is more difficult to detect than first-order SQL injection. The attack payload of second-order SQL injection is from untrusted user input and stored in database or file system, the SQL statement submitted by web application is usually dynamically assembled by a trusted constant string in the program and untrusted user input, and the DBMS in unable to distinguish the trusted and untrusted part of a SQL statement. The paper presents a method of detecting second-order SQL injection attacks based on ISR (Instruction Set Randomization). The method randomizes the trusted SQL keywords contained in Web applications to dynamically build new SQL instruction sets, and add a proxy server before DBMS, the proxy detects whether the received SQL instruction contains standard SQL keywords to find attack behavior. Experimental results show that this system can effectively detect second-order SQL injection attack and has low processing cost.

About this research paper

What this paper is about

Second-order SQL injection is a serious threat to Web application and it is more difficult to detect than first-order SQL injection. The attack payload of second-order SQL injection is from untrusted user input and stored in database or file system, the SQL statement submitted by web application is usually dynamically assembled by a trusted constant string in the program and untrusted user input, and the DBMS in unable to distinguish the trusted and untrusted part of a SQL statement. The paper presents a method of detecting second-order SQL injection attacks based on ISR (Instruction Set Randomization). The method randomizes the trusted SQL keywords contained in Web applications to dynamically build new SQL instruction sets, and add a proxy server before DBMS, the proxy detects whether the received SQL instruction contains standard SQL keywords to find attack behavior. Experimental results show that this system can effectively detect second-order SQL injection attack and has low processing cost.

Why it matters

OpenAlex reports 24 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Second-order SQL injection is a serious threat to Web application and it is more difficult to detect than first-order SQL injection. The attack payload of second-order SQL injection is from untrusted user input and stored in database or file system, the SQL statement submitted by web application is usually dynamically assembled by a trusted constant string in the program and untrusted user input, and the DBMS in unable to distinguish the trusted and untrusted part of a SQL statement. The paper presents a method of detecting second-order SQL injection attacks based on ISR (Instruction Set Randomization). The method randomizes the trusted SQL keywords contained in Web applications to dynamically build new SQL instruction sets, and add a proxy server before DBMS, the proxy detects whether the received SQL instruction contains standard SQL keywords to find attack behavior. Experimental results show that this system can effectively detect second-order SQL injection attack and has low processing cost.

Key concepts: SQL injection, Computer science, Autocommit, User-defined function, SQL/PSM, Stored procedure, Data Transformation Services, Database

Related papers

Back to paper searchBrowse research topicsOriginal source
A second-order SQL injection detection method — Research Paper | ScholarLens