designing new operating primitives to improve fuzzing performance

Brad Allison Maret 29, 2022 designing , fuzzing , primitives , to Comment

We design and implement three new fuzzing specific op-erating primitives that can improve the performance and scalability for the state-of-the-art fuzzers in a multi-core machine. Fuzzing File Systems via Two-Dimensional.

Pdf Designing New Operating Primitives To Improve Fuzzing Performance Semantic Scholar

TumbleRF - A framework that orchestrates the application of fuzzing techniques to RF systems.

. W Xu S Kashyap C Min T Kim. Designing New Operating Primitives to Improve Fuzzing Performance. W Xu TK Kashyap Sanidhya Changwoo Min.

Designing New Operating Primitives to Improve Fuzzing Performance 2017 IMF. Designing New Operating Primitives to Improve Fuzzing Performance ACM CCS 2017 The snapshot system call. Designing New Operating Primitives to Improve Fuzzing PerformanceCCS 17 FairFuzz.

ACM SIGSAC Conference on Computer and Communications Security CCS 2017. We apply and evaluate our proposed operating primitives to AFL and LibFuzzer. LL-Fuzzer - An automated NFC fuzzing framework for Android devices.

To improve the fuzzing performance we design and implement three new operating primitives specialized for fuzzing that solve these performance bottlenecks and achieve scalable performance on multi-core machines. In Proceedings of the 23th ACM Conference on Computer and Communications Security CCS 2017 Dallas TX October 2017. Other fuzzers are expected to suffer from the same scalability bottlenecks in that they follow a similar design pattern.

From Ensemble Learning to Ensemble Fuzzing. Designing New Operating Primitives to Improve Fuzzing Performance Wen Xu Sanidhya Kashyap Changwoo Min and Taesoo Kim In Proceedings of ACM Conference on Computer and Communications Security CCS 2017. C Min S Kashyap B Lee C Song T Kim.

Enable CONFIG_SNAPSHOT when compiling the kernel and check snapshot-test for its example. The prototype is built on linux-4810. PCI configure space write 6.

Fuzzing with Input-to-State Correspondence. A Targeted Mutation Strategy for Increasing Greybox Fuzz Testing CoverageASE 18 Full-speed Fuzzing. Designing New Operating Primitives to Improve Fuzzing Performance Wen Xu Sanidhya Kashyap Changwoo Min and Taesoo Kim In Proceedings of ACM Conference on Computer and Communications Security CCS 2017.

The case of finding file system bugs. Fuzzing by program transformation. The underlying system components heavily relied on by the fuzzer degrade its scalability.

Wen Xu Sanidhya Kashyap Changwoo Min and Taesoo Kim In Proceedings of the 24th ACM Conference on Computer and Communications Security CCS 2017 Mozilla research. New OS Primitives Specialized for Fuzzing Paper. PCI configure space read 7.

Designing New Operating Primitives to Improve Fuzzing Performance. We design and implement three new fuzzing specific op-erating primitives that can improve the performance and scalability for the state-of-the-art fuzzers in a multi-core machine. Disable PCI configure 8.

Other fuzzers are expected to suffer from the same scalability bottlenecks in that they follow a similar design pattern. Greybox Hypervisor Fuzzing using Fast Snapshots and Affine Types 2021. Proceedings of the 25th Symposium on Operating Systems Principles 361-377.

Reducing Fuzzing Overhead through Coverage-guided TracingOakland 19 ProFuzzer. From collision to exploitation. To improve the fuzzing performance we design and implement three new operating primitives specialized for fuzzing that solve these performance bottlenecks and achieve scalable performance on multi-core machines.

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications. Paper slides code Wen Xu Sanidhya Kashyap Changwoo Min and Taesoo Kim. By leveraging our proposed primi-tives AFL has at most 77 259 and 289.

Designing New Operating Primitives to Improve Fuzzing Performance Wen Xu Sanidhya Kashyap Changwoo Min and Taesoo Kim. Designing New Operating Primitives to Improve Fuzzing Performance. Inferred Model-based Fuzzer 2017 Coverage-based Greybox Fuzzing as Markov Chain 2016 Systematic Fuzzing and Testing of TLS Libraries 2016 USENIX Security Symposium.

W Xu S Kashyap C Min T Kim. Designing New Operating Primitives to Improve Fuzzing Performance. W Xu H Moon S Kashyap PN Tseng T Kim.

2 áÍ CCS 17 - Designing New Operating Primitives to Improve Fuzzing Performance -- St 6e ü QTest 6 6e ÑíZõ fuzz6 y 1. Data-Driven Seed Generation for Fuzzing. Designing new operating primitives to improve fuzzing performance.

We apply and evaluate our proposed operating primitives to AFL and LibFuzzer. Current fuzzersare not at all scalable on modern OSes with manycorearchitectures. In recent years various organizations and communities have been putting numerous computing resources on automated fuzzing which has been proved as a highly efficient approach to find security bugs in complicated software and.

Fuzzing File Systems via Two-Dimensional Input Space Exploration. New operating primitives specially designed for fuzzing can largely improve the performance and scalability for the state-of-the-art fuzzers. By leveraging our proposed primi-tives AFL has at most 77 259 and 289improvement.

IO port out 3. Scalable NUMA-aware Blocking Synchronization Primitives. PULSAR - A method for stateful black-box fuzzing of proprietary network protocols.

Designing New Operating Primitives to Improve Fuzzing Performance. Unleashing use-after-free vulnerabilities in linux kernel. Add DMA pattern 10.

IO port in 2. Tlsfuzzer - A SSL and TLS protocol test suite and fuzzer. On-the-fly Input Type Probing for Better Zero-day Vulnerability DiscoveryOakland 19.

To improve the fuzzing performance we design and implement three new operating primitives specialized for fuzzing that solve these performance bottlenecks and achieve scalable performance on.

Acm Ccs 2017 Designing New Operating Primitives Wen Xu Youtube