New arXiv Research Paper
arXiv ID: 2608.28016
Title: The Impact of Magma: A Ground-Truth Fuzzing Benchmark
Authors: Ahmad Hazimeh, Adrian Herrera, Srividya Subramanian, Thaqiya Aman, Sara Vaccino, Qiang Liu, Mathias Payer
Published: 2026-08-28T07:32:34Z
URL: https://arxiv.org/abs/2608.28016
Abstract (first 300 chars)
Magma is an open-source and ground-truth fuzzing benchmark that enables uniform fuzzer evaluation and comparison. Magma was originally released with a research paper published at ACM SIGMETRICS 2021. This short paper explains the motivation, the design, and the impact of Magma, with a description of…
Suggested OWASP Mapping
No automatic mapping — manual review recommended
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.
New arXiv Research Paper
arXiv ID: 2608.28016
Title: The Impact of Magma: A Ground-Truth Fuzzing Benchmark
Authors: Ahmad Hazimeh, Adrian Herrera, Srividya Subramanian, Thaqiya Aman, Sara Vaccino, Qiang Liu, Mathias Payer
Published: 2026-08-28T07:32:34Z
URL: https://arxiv.org/abs/2608.28016
Abstract (first 300 chars)
Suggested OWASP Mapping
No automatic mapping — manual review recommended
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.