Injection Attack Sensor Using Taint Tracking and Syntax Templates
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Solution Overview
Problem
Existing network security solutions, such as web application firewalls and intrusion detection systems, struggle with false positives and false negatives in detecting code injection attacks, particularly in cloud environments, leading to alert fatigue and missed real threats.
Innovation Solution
Implementing a tainting engine within cloud applications to track and analyze tainted data using a syntax attack detection template, allowing for non-intrusive instrumentation and accurate detection of attempted attacks, even if the application is not vulnerable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If web application firewalls are used to inspect data, then detection coverage is improved, but false positive rate increases leading to alert fatigue
Solution Approach 1:
The patent introduces a syntax attack detection template as an intermediary between the web application firewall and the actual application execution. This template acts as a mediator that validates whether user input conforms to expected syntax patterns before the input reaches the application, thereby reducing false positives while maintaining detection coverage.
Solution Approach 2:
The system performs preliminary validation of user input against syntax attack detection templates before the input is processed by the application. This preliminary action filters out malicious inputs that don't match expected syntax patterns, reducing the burden on the web application firewall and decreasing alert fatigue from false positives.
2Difficulty of detecting and measuring
If static code analysis is used to analyze application logic, then understanding of internal logic is improved, but inability to observe actual data execution effects reduces detection accuracy
Solution Approach 1:
The patent merges static code analysis capabilities with dynamic dataflow tracking. The system not only analyzes the internal logic of the application through static analysis but also tracks how actual user input data flows through the application at runtime. This combination allows the system to understand both the theoretical logic and the actual execution effects, improving detection accuracy.
Solution Approach 2:
The system transitions from purely static code analysis to a dynamic approach that tracks dataflow at runtime. By instrumenting the application to monitor actual data execution effects, the system can observe how user input truly behaves in the application context, rather than just analyzing theoretical code paths. This dynamic tracking significantly improves detection accuracy.
3Adaptability or versatility
If generic security solutions are applied to all applications, then broad coverage is achieved, but inability to account for application particularities reduces effectiveness
Solution Approach 1:
The patent applies local quality by creating application-specific syntax attack detection templates that are tailored to each application's particularities. Instead of using a one-size-fits-all approach, the system generates customized templates that reflect the specific syntax patterns, data formats, and execution characteristics of each application, thereby improving detection effectiveness while maintaining broad coverage across different applications.
Data Source
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AI summary
A tainting engine can work in conjunction with a syntax attack detection template to identify when a threat actor attempts a malicious attack in a cloud application scenario. Non-intrusive instrumentation can be used to provide detection of an attempted attack regardless of whether the cloud application is vulnerable to such attacks. Detection of attempted attacks can be an important part of maintaining network security, even in cases where an application itself is not vulnerable to such attacks. Further details about the attempted attack can be assembled, and a variety of actions can be taken in response to detection.