Source code of the paper "Lord of the Ring(s): Side Channel Attacks on the CPU On-Chip Ring Interconnect Are Practical"
☆143Jul 10, 2021Updated 4 years ago
Alternatives and similar repositories for lotr
Users that are interested in lotr are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Using Data Memory-Dependent Prefetchers to Leak Data at Rest☆39Sep 6, 2022Updated 3 years ago
- Streamline Covert Channel Attack (presented in ASPLOS'21)☆22Feb 18, 2021Updated 5 years ago
- Proof-of-concept for I See Dead Micro-Ops transient execution attack☆14Nov 3, 2021Updated 4 years ago
- Tool for testing and finding minimal eviction sets☆106May 6, 2021Updated 4 years ago
- Artifact for the IEEE S&P 2025 paper: "Rapid Reversing of Non-Linear CPU Cache Slice Functions: Unlocking Physical Address Leakage"☆20Apr 3, 2026Updated 3 weeks ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- This repository contains some tools to monitor the UNC_CBO_CACHE_LOOKUP event of the C-Boxes.☆12Oct 11, 2017Updated 8 years ago
- ☆10Nov 14, 2022Updated 3 years ago
- NVLeak: Off-Chip Side-Channel Attacks via Non-Volatile Memory Systems [USENIX Security '23]☆20Nov 17, 2022Updated 3 years ago
- Opening Pandora's Box: A Systematic Study of New Ways Microarchitecture can Leak Private Data☆21Oct 13, 2022Updated 3 years ago
- CleanupSpec (MICRO-2019)☆16Oct 22, 2020Updated 5 years ago
- Microarchitectural attack development frameworks for prototyping attacks in native code (C, C++, ASM) and in the browser☆64Aug 7, 2022Updated 3 years ago
- HW interface for memory caches☆28Apr 21, 2020Updated 6 years ago
- Proof-of-concept code for the SMoTherSpectre exploit.☆77Nov 12, 2019Updated 6 years ago
- A fuzzer setup to fuzz libc functions.☆16Aug 30, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The artifact for SecSMT paper -- Usenix Security 2022