Multi-layer reasoning framework for cloud privilege escalation analysis
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Solution Overview
Problem
In cloud provider networks, privilege escalation risks arise due to misconfigurations in policies and permissions, making it challenging to identify and mitigate unintended access to resources, which can lead to significant security breaches and data misuse.
Innovation Solution
A multi-layer reasoning framework is employed to build an ontology model of identities and their relationships, using policy analyzers to query for privilege escalation scenarios and provide identifiers of associated identities, thereby enabling the identification and remediation of such risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud provider networks provide extensive access to computing resources through APIs and interfaces, then user productivity and resource utilization improve, but security risks and privilege escalation vulnerabilities increase
Solution Approach 1:
The system performs preliminary analysis of policies and permissions before privilege escalation can occur. By proactively identifying misconfigurations and vulnerable identity relationships through automated scanning and ontology modeling, the system prevents security breaches before they happen, allowing extensive resource access while maintaining security
Solution Approach 2:
The patent introduces an intermediary analysis layer between resource access requests and actual execution. This intermediary system uses ontology models to mediate and monitor identity relationships, policies, and permissions, enabling productive resource utilization while filtering out security risks through automated reasoning and policy validation
2Measurement precision
If comprehensive policy analysis is performed on all identities to detect privilege escalation risks, then security detection accuracy improves, but analysis time and computational resources increase
Solution Approach 1:
The patent segments the comprehensive policy analysis into distinct layers: ontology model construction, relationship extraction, policy validation, and risk identification. This segmentation allows parallel processing of different identity relationships and policy aspects, maintaining high detection accuracy while reducing overall analysis time through divided computational tasks
Solution Approach 2:
The system dynamically adjusts analysis parameters such as depth of policy traversal, types of relationships examined, and risk thresholds based on the specific cloud environment being analyzed. This parameter optimization enables comprehensive security detection when needed while allowing faster analysis for routine checks, balancing accuracy with time efficiency
Data Source
AI summary
Techniques are described for analyzing privilege escalation risks within the accounts, roles, and policies that comprise an organization's cloud provider environment. Privilege escalation refers broadly to scenarios in which a principal (e.g., a person or application) is able to gain access to resources or actions in a cloud provider environment that exceed a level intended for that principal. In the context of cloud provider environments, for example, such privilege escalation risks can result from the misconfiguration of policies and permissions attached to identities (e.g., users, groups of users, or roles) within an organization's environment. A multi-layer reasoning framework is used to build an ontology model of an organization's identities and relations among the identities, including defined access relationships, permission mutation relationships, and credential mutation relationships. The framework is further used to query the ontology model to identify particular identities associated with one or more specific types of privilege escalation risks.