Data-Link Sensor Detection of Cloud Privilege Escalation
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Solution Overview
Problem
Existing cybersecurity solutions for cloud computing environments face challenges in providing comprehensive threat detection due to the impracticality of agent-based solutions, which require heavy resource usage and root privileges, and the limitations of agentless solutions, which lack real-time data, leading to incomplete threat detection and inefficient resource utilization.
Innovation Solution
A sensor is deployed on cloud resources to listen on the data link layer for events, combining static analysis with runtime data to detect privilege escalation events, reducing overlap and enhancing threat detection efficiency by initiating targeted inspections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If agent based solutions are deployed for cybersecurity threat detection, then comprehensive runtime and stored data detection is achieved, but heavy computational resources and root privileges are required
Solution Approach 1:
The system segments the cybersecurity detection function into two parts: a lightweight sensor deployed on each endpoint that collects runtime data, and a centralized analysis system that performs threat detection. This segmentation allows the endpoint to use minimal resources while maintaining comprehensive detection capabilities through centralized analysis of collected data.
Solution Approach 2:
A centralized backend system acts as an intermediary between the lightweight sensors on endpoints and the threat detection analysis. The sensor collects data locally with minimal resource usage, then transmits it to the centralized system that performs the computationally intensive threat detection, eliminating the need for root privileges on endpoints.
2Speed
If agent based solutions are deployed, then real time threat detection is achieved, but root privileges and privileged software containers are required creating security risks
Solution Approach 1:
The system uses a lightweight sensor that can be deployed without root privileges as an alternative to traditional agents. This sensor collects necessary runtime data and transmits it to a centralized system for analysis, achieving real-time detection capability without the security risks associated with privileged access on endpoints.
3Use of energy by moving object
If agentless static analysis solutions are used, then low resource consumption is achieved, but real time threat detection and complete picture of security status are not provided
Solution Approach 1:
The lightweight sensor on each endpoint performs preliminary data collection of runtime information before transmission to the centralized system. This preliminary action at the endpoint enables the centralized system to perform comprehensive threat detection analysis without requiring heavy local resources, combining the efficiency of agentless solutions with the completeness of agent-based detection.
Data Source
AI summary
A system and method for detecting privilege escalation on a resource deployed in a computing environment is disclosed. The method includes: configuring the resource to deploy thereon a sensor, the sensor configured to listen on a data link layer of the resource for an event; receiving from the sensor a permission-based event based on a first actor, the permission-based event indicating a first permission set of the first actor; querying a database to detect a second permission set of the first actor; detecting that the first permission set includes a permission which is not in the second permission set; determining that the resource is involved in a privilege escalation event in response to detecting that the first permission set includes a permission which is not in the second permission set; and initiating a mitigation action in response to the determined privilege escalation event.