To what extent can we analyze Kotlin programs using existing Java taint analysis tools? (Extended Version)

July 19, 2022 Β· Declared Dead Β· πŸ› IEEE Working Conference on Source Code Analysis and Manipulation

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Ranjith Krishnamurthy, Goran Piskachev, Eric Bodden arXiv ID 2207.09379 Category cs.PL: Programming Languages Cross-listed cs.CR, cs.SE Citations 7 Venue IEEE Working Conference on Source Code Analysis and Manipulation Last Checked 3 months ago
Abstract
As an alternative to Java, Kotlin has gained rapid popularity since its introduction and has become the default choice for developing Android apps. However, due to its interoperability with Java, Kotlin programs may contain almost the same security vulnerabilities as their Java counterparts. Hence, we question: to what extent can one use an existing Java static taint analysis on Kotlin code? In this paper, we investigate the challenges in implementing a taint analysis for Kotlin compared to Java. To answer this question, we performed an exploratory study where each Kotlin construct was examined and compared to its Java equivalent. We identified 18 engineering challenges that static-analysis writers need to handle differently due to Kotlin's unique constructs or the differences in the generated bytecode between the Kotlin and Java compilers. For eight of them, we provide a conceptual solution, while six of those we implemented as part of SecuCheck-Kotlin, an extension to the existing Java taint analysis SecuCheck.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Programming Languages

Died the same way β€” πŸ‘» Ghosted