In the past decade, the number of reported security attacks exploiting unchecked input firmware values has been on the rise. To address this concerning trend, this work proposes a novel detection framework, called DOVE, capable of identifying unlikely firmware execution flows, specifically those that may reveal a security vulnerability. The DOVE framework operates by leveraging a symbolic simulation of the firmware's execution, paired with a probability computation that can identify unlikely execution flows and provide to the user corresponding formal assertions.

Work-in-Progress: DOVE: Pinpointing firmware security vulnerabilities via symbolic control flow assertion mining

Alessandro Danese;Graziano Pravadelli;
2017-01-01

Abstract

In the past decade, the number of reported security attacks exploiting unchecked input firmware values has been on the rise. To address this concerning trend, this work proposes a novel detection framework, called DOVE, capable of identifying unlikely firmware execution flows, specifically those that may reveal a security vulnerability. The DOVE framework operates by leveraging a symbolic simulation of the firmware's execution, paired with a probability computation that can identify unlikely execution flows and provide to the user corresponding formal assertions.
2017
Vulnerabilities
Assertion mining
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/974145
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