CryptoGuardOSS / cryptoapi-bench
☆12Updated 3 years ago
Alternatives and similar repositories for cryptoapi-bench
Users that are interested in cryptoapi-bench are comparing it to the libraries listed below
Sorting:
- ☆56Updated last year
- Recent Paper About Bug Detection☆31Updated 5 years ago
- ☆49Updated 4 years ago
- ISSTA'23 - Third-party Library Dependency for Large-scale SCA in the C/C++ Ecosystem: How Far Are We?☆29Updated last year
- holding data and processing code for the paper 'A Large-Scale Empirical Study on Vulnerability Distribution within Projects and the Lesso…☆20Updated 4 years ago
- ☆24Updated last year
- ☆74Updated 2 years ago
- User Guided API Misuse Detection☆29Updated 2 years ago
- LibD: Scalable and Precise Third-party Library Detection in Android Markets☆68Updated 6 years ago
- Large-scale Analysis of Cryptographic Misuse in IoT Devices☆22Updated 5 years ago
- This is a deep learning dataset for cross-version binary code similarity detection.☆27Updated 6 years ago
- This is a benchmark for evaluating the vulnerability discovery ability of automated approaches including Large Language Models (LLMs), de…☆67Updated 6 months ago
- ☆59Updated this week
- Flow analysis using Soot☆51Updated 4 years ago
- ☆34Updated 2 years ago
- The public dataset in the paper "PatchDB: A Large-Scale Security Patch Dataset". This paper appears in the 51st Annual IEEE/IFIP Interna…☆40Updated last year
- ☆40Updated last year
- ICCBot: A Fragment-Aware and Context-Sensitive ICC Resolution Tool for Android Applications☆38Updated last year
- Deep learning code semantic similarity☆63Updated 5 years ago
- The dataset used in the experiments for Esh (http://binsim.com)☆21Updated 8 years ago
- Project FlowCog (2017)☆27Updated 6 years ago
- ☆26Updated 7 months ago
- Non-Distinguishable Inconsistencies as a Deterministic Oracle for Detecting Security Bugs☆14Updated 2 years ago
- CheQ: Automatically Identifying Security Checks for Detecting Kernel Semantic Bugs☆44Updated 5 years ago
- Code for tracelet-level symbolic execution☆18Updated 2 years ago
- TypeDive: Multi-Layer Type Analysis (MLTA) for Refining Indirect-Call Targets☆95Updated last year
- Vulnerability Discovery with Function Representation Learning from Unlabeled Projects☆38Updated 7 years ago
- ☆44Updated 2 years ago
- Research artifact for Oakland (S&P) 2022, "BEACON: Directed Grey-Box Fuzzing with Provable Path Pruning"☆37Updated 7 months ago
- Research artifact for Oakland (S&P) 2024, "Titan: Efficient Multi-target Directed Greybox Fuzzing"☆53Updated 3 months ago