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Vulnerabilities and Security Patches Detection in OSS: A Survey
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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International Journal of Information Security
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Execution Generated Test Cases: How to Make Systems Code Crash Itself
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Shape, Contour and Grouping in Computer Vision
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Object Recognition with Gradient-Based Learning
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Communications and Multimedia Security Issues of the New Century
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Software Security Assessment through Specification Mutations and Fault Injection
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IFuzzer: An Evolutionary Interpreter Fuzzer Using Genetic Programming
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Vulnerability discovery based on source code patch commit mining: a systematic literature review
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SSPCatcher: Learning to catch security patches
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Empirical analysis of security vulnerabilities in Python packages
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AutoVAS: An automated vulnerability analysis system with a deep learning approach
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Identifying almost identical files using context triggered piecewise hashing
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BGNN4VD: Constructing Bidirectional Graph Neural-Network for Vulnerability Detection
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VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python
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The rise of software vulnerability: Taxonomy of software vulnerabilities detection and machine learning approaches
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CSGVD: A deep learning approach combining sequence and graph embedding for source code vulnerability detection
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VULDEFF: Vulnerability detection method based on function fingerprints and code differences
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A deep learning based static taint analysis approach for IoT software vulnerability location
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Framewise phoneme classification with bidirectional LSTM and other neural network architectures
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Literature survey of deep learning-based vulnerability analysis on source code
inferredcites →https://doi.org/10.1109/access.2017.2676161openalex-snapshot
Patch-Related Vulnerability Detection Based on Symbolic Execution
inferredcites →https://doi.org/10.1109/access.2020.3034766openalex-snapshot
Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey
inferredcites →https://doi.org/10.1109/access.2021.3065872openalex-snapshot
A Survey of Software Clone Detection From Security Perspective
inferredcites →https://doi.org/10.1109/access.2021.3114202openalex-snapshot
Exploratory Review of Hybrid Fuzzing for Automated Vulnerability Detection
inferredcites →https://doi.org/10.1109/access.2023.3312613openalex-snapshot
A Systematic Literature Review on Software Vulnerability Prediction Models
inferredcites →https://doi.org/10.1109/aiiot54504.2022.9817336openalex-snapshot
Cyber Security Vulnerability Detection Using Natural Language Processing
inferredcites →https://doi.org/10.1109/ase.2019.00033openalex-snapshot
Inferring Program Transformations From Singular Examples via Big Code
inferredcites →https://doi.org/10.1109/ase51524.2021.9678720openalex-snapshot
Finding A Needle in a Haystack: Automated Mining of Silent Vulnerability Fixes
inferredcites →https://doi.org/10.1109/dsa.2019.00012openalex-snapshot
From Local to Global Semantic Clone Detection
inferredcites →https://doi.org/10.1109/dsn48987.2021.00030openalex-snapshot
PatchDB: A Large-Scale Security Patch Dataset
inferredcites →https://doi.org/10.1109/icccs49078.2020.9118556openalex-snapshot
A Survey on Deep Learning-Based Source Code Defect Analysis
inferredcites →https://doi.org/10.1109/icmla.2018.00120openalex-snapshot
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
inferredcites →https://doi.org/10.1109/icpc.2017.22openalex-snapshot
Binary Code Clone Detection across Architectures and Compiling Configurations
inferredcites →https://doi.org/10.1109/icse.1993openalex-snapshot
Proceedings of 1993 15th International Conference on Software Engineering
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A large scale exploratory analysis of software vulnerability life cycles
inferredcites →https://doi.org/10.1109/icse.2017.49openalex-snapshot
SPAIN: Security Patch Analysis for Binaries towards Understanding the Pain and Pills
inferredcites →https://doi.org/10.1109/icse.2019.00086openalex-snapshot
A Novel Neural Source Code Representation Based on Abstract Syntax Tree
inferredcites →https://doi.org/10.1109/icsme.2014.77openalex-snapshot
Towards a Big Data Curated Benchmark of Inter-project Code Clones
inferredcites →https://doi.org/10.1109/icsme.2017.46openalex-snapshot
CCLearner: A Deep Learning-Based Clone Detection Approach
inferredcites →https://doi.org/10.1109/ijcnn.2005.1555942openalex-snapshot
A new model for learning in graph domains
inferredcites →https://doi.org/10.1109/isctis51085.2021.00013openalex-snapshot
Vulnerability Detection Algorithm of Lightweight Linux Internet of Things Application with Symbolic Execution Method
inferredcites →https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom51426.2020.00068openalex-snapshot
AVDHRAM: Automated Vulnerability Detection based on Hierarchical Representation and Attention Mechanism
inferredcites →https://doi.org/10.1109/jproc.2020.2993293openalex-snapshot
Software Vulnerability Detection Using Deep Neural Networks: A Survey
inferredcites →https://doi.org/10.1109/milcom52596.2021.9652940openalex-snapshot
PatchRNN: A Deep Learning-Based System for Security Patch Identification
inferredcites →https://doi.org/10.1109/msr.2019.00064openalex-snapshot
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software
inferredcites →https://doi.org/10.1109/sere.2014.21openalex-snapshot
BinClone: Detecting Code Clones in Malware
inferredcites →https://doi.org/10.1109/sp.2010.26openalex-snapshot
All You Ever Wanted to Know about Dynamic Taint Analysis and Forward Symbolic Execution (but Might Have Been Afraid to Ask)
inferredcites →https://doi.org/10.1109/sp.2014.44openalex-snapshot
Modeling and Discovering Vulnerabilities with Code Property Graphs
inferredcites →https://doi.org/10.1109/sp.2015.49openalex-snapshot
Cross-Architecture Bug Search in Binary Executables
inferredcites →https://doi.org/10.1109/sp.2016.17openalex-snapshot
SOK: (State of) The Art of War: Offensive Techniques in Binary Analysis
inferredcites →https://doi.org/10.1109/sp.2017.62openalex-snapshot
VUDDY: A Scalable Approach for Vulnerable Code Clone Discovery
inferredcites →https://doi.org/10.1109/sp.2019.00003openalex-snapshot
Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization
inferredcites →https://doi.org/10.1109/sp40000.2020.00002openalex-snapshot
SAVIOR: Towards Bug-Driven Hybrid Testing
inferredcites →https://doi.org/10.1109/sp40000.2020.00038openalex-snapshot
SPIDER: Enabling Fast Patch Propagation In Related Software Repositories
inferredcites →https://doi.org/10.1109/tdsc.2021.3051525openalex-snapshot
SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities
inferredcites →https://doi.org/10.1109/tdsc.2021.3076142openalex-snapshot
VulDeeLocator: A Deep Learning-Based Fine-Grained Vulnerability Detector
inferredcites →https://doi.org/10.1109/tdsc.2022.3192631openalex-snapshot
Enhancing Security Patch Identification by Capturing Structures in Commits
inferredcites →https://doi.org/10.1109/tifs.2020.3044773openalex-snapshot
Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection
inferredcites →https://doi.org/10.1109/tifs.2020.3047756openalex-snapshot
VulDetector: Detecting Vulnerabilities Using Weighted Feature Graph Comparison
inferredcites →https://doi.org/10.1109/tse.2007.70725openalex-snapshot
Comparison and Evaluation of Clone Detection Tools
inferredcites →https://doi.org/10.1109/tse.2019.2946563openalex-snapshot
The Art, Science, and Engineering of Fuzzing: A Survey
inferredcites →https://doi.org/10.1109/tse.2021.3087402openalex-snapshot
Deep Learning Based Vulnerability Detection: Are We There Yet?
inferredcites →https://doi.org/10.1109/tse.2022.3140868openalex-snapshot
The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study
inferredcites →https://doi.org/10.1145/1540438.1540462openalex-snapshot
Fault detection and prediction in an open-source software project
inferredcites →https://doi.org/10.1145/199448.199462openalex-snapshot
Precise interprocedural dataflow analysis via graph reachability
inferredcites →https://doi.org/10.1145/24039.24041openalex-snapshot
The program dependence graph and its use in optimization
inferredcites →https://doi.org/10.1145/2666356.2594343openalex-snapshot
Tracelet-based code search in executables
inferredcites →https://doi.org/10.1145/2950290.2950350openalex-snapshot
BinGo: cross-architecture cross-OS binary search
inferredcites →https://doi.org/10.1145/2976749.2978370openalex-snapshot
Scalable Graph-based Bug Search for Firmware Images
inferredcites →https://doi.org/10.1145/2980983.2908126openalex-snapshot
Statistical similarity of binaries
inferredcites →https://doi.org/10.1145/3092566openalex-snapshot
Software Vulnerability Analysis and Discovery Using Machine-Learning and Data-Mining Techniques
inferredcites →https://doi.org/10.1145/3106237.3106253openalex-snapshot
Automatic inference of code transforms for patch generation
inferredcites →https://doi.org/10.1145/3106237.3117771openalex-snapshot
Automated identification of security issues from commit messages and bug reports
inferredcites →https://doi.org/10.1145/3180445openalex-snapshot
Proceedings of the Fourth ACM International Workshop on Security and Privacy Analytics
inferredcites →https://doi.org/10.1145/3180445.3180453openalex-snapshot
Machine Learning Methods for Software Vulnerability Detection
inferredcites →https://doi.org/10.1145/3236024.3236026openalex-snapshot
Oreo: detection of clones in the twilight zone
inferredcites →https://doi.org/10.1145/3236024.3236068openalex-snapshot
DeepSim: deep learning code functional similarity
inferredcites →https://doi.org/10.1145/3338906.3338952openalex-snapshot
Phoenix: automated data-driven synthesis of repairs for static analysis violations
inferredcites →https://doi.org/10.1145/3360585openalex-snapshot
Getafix: learning to fix bugs automatically
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Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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PDiff: Semantic-based Patch Presence Testing for Downstream Kernels
inferredcites →https://doi.org/10.1145/3379597openalex-snapshot
Proceedings of the 17th International Conference on Mining Software Repositories
inferredcites →https://doi.org/10.1145/3379597.3387501openalex-snapshot
A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries
inferredcites →https://doi.org/10.1145/3395363.3397361openalex-snapshot
Patch based vulnerability matching for binary programs
inferredcites →https://doi.org/10.1145/3460120.3484593openalex-snapshot
Locating the Security Patches for Disclosed OSS Vulnerabilities with Vulnerability-Commit Correlation Ranking
inferredcites →https://doi.org/10.1145/3460319.3464821openalex-snapshot
Automated patch backporting in Linux (experience paper)
inferredcites →https://doi.org/10.1145/3468264.3468597openalex-snapshot
Vulnerability detection with fine-grained interpretations
inferredcites →https://doi.org/10.1145/3468854openalex-snapshot
SPI: Automated Identification of Security Patches via Commits
inferredcites →https://doi.org/10.1145/3475960openalex-snapshot
Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering
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CVEfixes: automated collection of vulnerabilities and their fixes from open-source software
inferredcites →https://doi.org/10.1145/3485447.3512236openalex-snapshot
Understanding the Practice of Security Patch Management across Multiple Branches in OSS Projects
inferredcites →https://doi.org/10.1145/3524842openalex-snapshot
Proceedings of the 19th International Conference on Mining Software Repositories
inferredcites →https://doi.org/10.1145/3540250.3549156openalex-snapshot
Automated unearthing of dangerous issue reports
inferredcites →https://doi.org/10.1145/3575879.3575964openalex-snapshot
A Survey on Vulnerability Prediction using GNNs
inferredcites →https://doi.org/10.1145/3576915openalex-snapshot
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
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Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis
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Interpreters for GNN-Based Vulnerability Detection: Are We There Yet?
inferredcites →https://doi.org/10.1145/3604608openalex-snapshot
Towards Practical Binary Code Similarity Detection: Vulnerability Verification via Patch Semantic Analysis
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DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection
inferredcites →https://doi.org/10.1145/3639478.3643065openalex-snapshot
Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
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Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation
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A Survey of Automatic Software Vulnerability Detection, Program Repair, and Defect Prediction Techniques
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discovRE: Efficient Cross-Architecture Identification of Bugs in Binary Code
inferredcites →https://doi.org/10.14722/ndss.2016.23368openalex-snapshot
Driller: Augmenting Fuzzing Through Selective Symbolic Execution
inferredcites →https://doi.org/10.14722/ndss.2019.23504openalex-snapshot
Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing
inferredcites →https://doi.org/10.24963/ijcai.2017/423openalex-snapshot
Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
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HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
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Efficient Estimation of Word Representations in Vector Space
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Distributed Representations of Words and Phrases and their Compositionality
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Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.1708.02368openalex-snapshot
Automatic feature learning for vulnerability prediction
inferredcites →https://doi.org/10.48550/arxiv.1909.03496openalex-snapshot
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
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A Survey on the Evaluation of Clone Detection Performance and Benchmarking
inferredcites →https://doi.org/10.48550/arxiv.2009.08366openalex-snapshot
GraphCodeBERT: Pre-training Code Representations with Data Flow
inferredcites →https://doi.org/10.48550/arxiv.2208.08067openalex-snapshot
K-ASTRO: Structure-Aware Adaptation of LLMs for Code Vulnerability Detection
inferredcites →https://doi.org/10.48550/arxiv.2308.15233openalex-snapshot
Multilevel Semantic Embedding of Software Patches: A Fine-to-Coarse Grained Approach Towards Security Patch Detection
inferredcites →https://doi.org/10.48550/arxiv.2310.02530openalex-snapshot
CompVPD: Iteratively Identifying Vulnerability Patches Based on Human Validation Results with a Precise Context
inferredcites →https://doi.org/10.48550/arxiv.2311.01532openalex-snapshot
VFCFinder: Seamlessly Pairing Security Advisories and Patches
inferredcites →https://doi.org/10.48550/arxiv.2312.01241openalex-snapshot
Just-in-Time Detection of Silent Security Patches
inferredcites →https://doi.org/10.48550/arxiv.2402.17230openalex-snapshot
Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities
inferredcites →https://doi.org/10.48550/arxiv.2403.17218openalex-snapshot
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning
inferredcites →https://doi.org/10.5120/ijca2016908896openalex-snapshot
A Survey of Software Clone Detection Techniques
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Beyond the code: analyzing OSS developers security awareness and practices
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inferred← citeshttps://doi.org/10.1109/ase63991.2025.00087openalex-snapshot
Not Every Patch is an Island: LLM-Enhanced Identification of Multiple Vulnerability Patches
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Empirical Analysis of Security Vulnerabilities in Open Source Software Using Static Analysis Tools
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Complexities and Challenges for Securing Digital Assets and Infrastructure in Academia
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