Binary ROP Analysis for Memory Safety Mitigation Impact

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Solution Overview

Problem

Current cybersecurity practices focus on identifying memory safety vulnerabilities in binary programs but lack effective methods to assess and quantify the risk of exploiting these vulnerabilities, leading to an unjustified sense of security and exposure to attacks.

Innovation Solution

A method and system for analyzing the exploitability of memory safety vulnerabilities by scanning binaries for ROP chains, applying memory safety mitigation technologies like LFR, and comparing risk before and after protection to generate a report.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If vulnerability removal is the primary focus, then security improves, but testing difficulty increases and time consumption increases

Engineering Contradiction:

ImprovesecurityVSAvoidtesting difficulty

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces manual vulnerability testing with automated static analysis tools that scan binary code for vulnerability patterns. The system uses computational algorithms to detect memory safety vulnerabilities without requiring extensive manual testing, thereby reducing testing difficulty while maintaining security assessment capabilities

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces a risk scoring parameter that quantifies vulnerability exploitability based on multiple factors including vulnerability type, available mitigations, and attack vectors. This parameter transformation allows complex security assessments to be reduced to measurable scores, enabling automated prioritization and reducing manual testing requirements

Inventive Principle:

Principle #35Parameter changes

2Reliability

If vulnerability identification is performed, then security awareness improves, but false confidence in security increases

Engineering Contradiction:

Improvesecurity awarenessVSAvoidfalse confidence

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The patent implements a feedback mechanism that continuously updates risk assessments based on the presence of mitigations and the effectiveness of security controls. The system provides feedback on actual exploitability rather than just vulnerability presence, preventing false confidence by highlighting whether identified vulnerabilities remain actionable given current security measures

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent focuses analysis on the most critical vulnerability types and attack vectors rather than attempting to assess every possible vulnerability. By concentrating on high-impact areas with available mitigations, the system provides sufficient security insight without creating false confidence about completely exhaustive security coverage

Inventive Principle:

Principle #16Partial or excessive action

3Object-affected harmful factors

If mitigation technologies are applied, then exploitability reduces, but measurement of effectiveness becomes difficult

Engineering Contradiction:

ImproveexploitabilityVSAvoideffectiveness measurement

Core Design Contradiction:

Object-affected harmful factorsVSMeasurement precision

Solution Approach 1:

The patent replaces subjective security assessments with automated static analysis that objectively measures mitigation effectiveness. The system scans binary code to detect whether mitigations are properly implemented and quantifies their impact on vulnerability exploitability, providing precise measurement without requiring complex dynamic testing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent breaks down the effectiveness measurement into discrete components by analyzing individual vulnerability types and their corresponding mitigations separately. This segmentation allows precise measurement of each mitigation's impact on specific vulnerability categories, making the overall effectiveness assessment more accurate and measurable

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250363221A1Computer systems, methods, and devices for analyzing exploitability of memory safety vulnerabilities

Publication Date: 2025.11.27 RUNSAFE SECURITY INC

AI summary

The present disclosure provides a method for analyzing exploitability of memory safety vulnerabilities in binary programs. The method includes identifying potential vulnerabilities within a binary program, performing a baseline analysis to detect potential Return-Oriented Programming (ROP) chains, applying a memory safety mitigation technology to the binary program, performing a protected analysis after applying the memory safety mitigation technology to detect potential ROP chains, comparing results of the baseline analysis and the protected analysis, and generating a report quantifying an impact of the memory safety mitigation technology on exploitability of the identified vulnerabilities. The method enables assessment of the effectiveness of memory safety mitigation techniques in reducing the risk of exploitation, providing valuable insights for improving software security throughout the development lifecycle.