Proactive Script Execution Blocking for Zero-Day Attack Prevention
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Solution Overview
Problem
Conventional data security systems are reactive and fail to prevent zero-day attacks, allowing malicious script executions that can cause irreversible damage and spread to other devices due to their inability to detect vulnerabilities until a patch is introduced.
Innovation Solution
A method and system that proactively block malicious script executions by generating and transmitting rules to prevent execution of scripts with identified malicious operations, updating a vulnerability database, and alerting developers to zero-day vulnerabilities, with the option to update or install the latest version of applications to resolve the vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional malware scanners are used to detect malicious activity, then detection capability is provided, but the system remains reactive and cannot prevent zero-day attacks before damage occurs
Solution Approach 1:
The system performs preliminary action by proactively blocking script executions that exhibit suspicious patterns before malicious files are actually created. The heuristic analysis detects potential threats in advance by monitoring script behavior patterns, allowing the system to prevent zero-day attacks before damage occurs rather than detecting them after the fact.
Solution Approach 2:
The system applies beforehand cushioning by implementing a proactive blocking mechanism that creates a protective buffer against zero-day vulnerabilities. The heuristic rules and behavior monitoring establish a cushion of protection that prevents malicious script executions from completing, thereby cushioning the system against the full impact of undetected vulnerabilities.
2Reliability
If developers wait for patches to be introduced to fix vulnerabilities, then security updates are provided, but the time required to produce and distribute patches allows attacks to spread to other devices
Solution Approach 1:
The system performs preliminary action by proactively blocking script executions that exhibit suspicious patterns before malicious files are actually created. The heuristic analysis detects potential threats in advance by monitoring script behavior patterns, allowing the system to prevent zero-day attacks before damage occurs rather than detecting them after the fact.
Solution Approach 2:
The system implements feedback by continuously monitoring script executions and file operations, analyzing behavior patterns in real-time. When suspicious patterns are detected, the system provides feedback through alerts to administrators and automatically blocks further executions, creating a closed-loop security system that adapts to new threats without requiring manual patch updates.
3Measurement precision
If malware scanners focus on detecting known malicious patterns, then detection accuracy is maintained, but the system cannot identify zero-day vulnerabilities that have no known signature
Solution Approach 1:
The system applies parameter changes by shifting from signature-based detection parameters to behavior-based detection parameters. Instead of relying on fixed malicious pattern signatures, the system monitors dynamic parameters such as script execution patterns, file operation sequences, and timing characteristics, allowing it to detect zero-day vulnerabilities that exhibit unusual behavioral parameters even though they have no known malicious signature.
Solution Approach 2:
The system implements dynamics by transitioning from static signature matching to dynamic behavior analysis. The heuristic rules continuously adapt to monitor and analyze the runtime behavior of scripts and applications, enabling the system to identify zero-day threats based on their dynamic execution patterns rather than relying on predetermined static signatures.
Data Source
AI summary
Disclosed herein are systems and method for preventing zero-day attacks. A method may include receiving a first report including information about an execution of a first script of an application that modifies a file on a first computing device, and receiving a second report including an indication that the file includes malicious code. In response to determining that an identifier of the file is present in both the first report and the second report, the method may include generating and transmitting, to the first computing device, a first rule that prevents execution of any script that shares at least one operation of the first script. The method may include, in response to determining that a vulnerability detected by the first rule is not present in a vulnerability database, generating an entry in the vulnerability database for the vulnerability as a zero-day vulnerability and transmitting an alert to the application developer.