CWEEP can identify the exact location in the RTL where the potential vulnerability resides and supports automatic code repair suggestions when applicable, so it can be used in the early stages of RTL development while properties are still under construction.
Abstract
As the hardware layer becomes a focus point for attackers, the need for improved hardware security verification techniques is more important than ever. State-of-the-art security verification techniques require significant manual effort from individuals with security expertise. Furthermore, there is no standard method to locate where the fault lies within the register transfer level (RTL) code. This paper presents CWEEP, a static analysis framework for detecting security weaknesses in RTL. CWEEP does not require a detailed security specification, so it can be used in the early stages of RTL development while properties are still under construction. Furthermore, CWEEP can identify the exact location in the RTL where the potential vulnerability resides and supports automatic code repair suggestions when applicable. Using datasets from the literature, we evaluate the performance of CWEEP on a set of two SoC designs with manually inserted bugs and on a large language model generated dataset, consisting of 3874 buggy modules. We find that CWEEP issues a correct warning up to 60.8% of the time. In contrast, the tool from a previous work issued a correct warning 17.5% of the time for the same dataset.
CHARGE is an automated framework for generating security properties for unverified RTL modules using CWEs and large language models using CWEs and large language models that leverages the hierarchical nature of CWE entries to improve accuracy when identifying security-critical assets in unverified RTL modules.
A defensive capability analysis for JavaScript libraries that soundly reports every exercised capability for code executed under a lightweight protected runtime, complementing the static analysis with a lightweight runtime enforcement mechanism that blocks those patterns.
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