Beneath the Mask: Can Contribution Data Unveil Malicious Personas in Open-Source Projects?
Fuente:
arXiv
Saved in:
| Main Author: | Nealon, Ruby |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Analysis of Malicious Packages in Open-Source Software in the Wild
by: Zhou, Xiaoyan, et al.
Published: (2024)
by: Zhou, Xiaoyan, et al.
Published: (2024)
Malicious GenAI Chrome Extensions: Unpacking Data Exfiltration and Malicious Behaviours
by: Seetharam, Shresta B., et al.
Published: (2025)
by: Seetharam, Shresta B., et al.
Published: (2025)
EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs
by: Gysel, Philipp, et al.
Published: (2024)
by: Gysel, Philipp, et al.
Published: (2024)
An Investigation of Hardware Security Bug Characteristics in Open-Source Projects
by: Ah-kiow, Joey, et al.
Published: (2024)
by: Ah-kiow, Joey, et al.
Published: (2024)
Unveiling Malicious Logic: Towards a Statement-Level Taxonomy and Dataset for Securing Python Packages
by: Ryan, Ahmed, et al.
Published: (2025)
by: Ryan, Ahmed, et al.
Published: (2025)
Detecting Protracted Vulnerabilities in Open Source Projects
by: Sridharkumar, Arjun, et al.
Published: (2026)
by: Sridharkumar, Arjun, et al.
Published: (2026)
Open Source, Open Threats? Investigating Security Challenges in Open-Source Software
by: Akhavani, Seyed Ali, et al.
Published: (2025)
by: Akhavani, Seyed Ali, et al.
Published: (2025)
Hierarchical Manifold Projection for Ransomware Detection: A Novel Geometric Approach to Identifying Malicious Encryption Patterns
by: Pembroke, Frederick, et al.
Published: (2025)
by: Pembroke, Frederick, et al.
Published: (2025)
Trust, but Verify: Evaluating Developer Behavior in Mitigating Security Vulnerabilities in Open-Source Software Projects
by: de Sousa, Janislley Oliveira, et al.
Published: (2024)
by: de Sousa, Janislley Oliveira, et al.
Published: (2024)
Unveiling A Hidden Risk: Exposing Educational but Malicious Repositories in GitHub
by: Masud, Md Rayhanul, et al.
Published: (2024)
by: Masud, Md Rayhanul, et al.
Published: (2024)
Quantifying Psychological Sophistication of Malicious Emails
by: Longtchi, Theodore, et al.
Published: (2024)
by: Longtchi, Theodore, et al.
Published: (2024)
You Can Run But You Can't Hide: Runtime Protection Against Malicious Package Updates For Node.js
by: Ohm, Marc, et al.
Published: (2023)
by: Ohm, Marc, et al.
Published: (2023)
A Study on Malicious Browser Extensions in 2025
by: Singh, Shreya, et al.
Published: (2025)
by: Singh, Shreya, et al.
Published: (2025)
Heckler: Breaking Confidential VMs with Malicious Interrupts
by: Schlüter, Benedict, et al.
Published: (2024)
by: Schlüter, Benedict, et al.
Published: (2024)
Malicious Package Detection using Metadata Information
by: Halder, S., et al.
Published: (2024)
by: Halder, S., et al.
Published: (2024)
Attack Effect Model based Malicious Behavior Detection
by: Wang, Limin, et al.
Published: (2025)
by: Wang, Limin, et al.
Published: (2025)
MalTool: Malicious Tool Attacks on LLM Agents
by: Hu, Yuepeng, et al.
Published: (2026)
by: Hu, Yuepeng, et al.
Published: (2026)
Characterizing the Evolution of Psychological Factors Exploited by Malicious Emails
by: Longtchi, Theodore, et al.
Published: (2024)
by: Longtchi, Theodore, et al.
Published: (2024)
FedMUP: Federated Learning driven Malicious User Prediction Model for Secure Data Distribution in Cloud Environments
by: Gupta, Kishu, et al.
Published: (2024)
by: Gupta, Kishu, et al.
Published: (2024)
Malicious Code Detection in Smart Contracts via Opcode Vectorization
by: Zou, Huanhuan, et al.
Published: (2025)
by: Zou, Huanhuan, et al.
Published: (2025)
SCAMPER -- Synchrophasor Covert chAnnel for Malicious and Protective ERrands
by: Krishnamurthy, Prashanth, et al.
Published: (2025)
by: Krishnamurthy, Prashanth, et al.
Published: (2025)
FLAME: Flexible and Lightweight Biometric Authentication Scheme in Malicious Environments
by: Wang, Fuyi, et al.
Published: (2025)
by: Wang, Fuyi, et al.
Published: (2025)
Universally Composable Commitments with Communicating Malicious Physically Uncloneable Functions
by: Abecasis, Lourenço, et al.
Published: (2025)
by: Abecasis, Lourenço, et al.
Published: (2025)
Towards Classifying Benign And Malicious Packages Using Machine Learning
by: Nguyen, Thanh-Cong, et al.
Published: (2025)
by: Nguyen, Thanh-Cong, et al.
Published: (2025)
RoBERTa-Augmented Synthesis for Detecting Malicious API Requests
by: Aharon, Udi, et al.
Published: (2024)
by: Aharon, Udi, et al.
Published: (2024)
Detecting Malicious Accounts in Web3 through Transaction Graph
by: Li, Wenkai, et al.
Published: (2024)
by: Li, Wenkai, et al.
Published: (2024)
USBIPS Framework: Protecting Hosts from Malicious USB Peripherals
by: Wang, Chun-Yi, et al.
Published: (2024)
by: Wang, Chun-Yi, et al.
Published: (2024)
SIGY: Breaking Intel SGX Enclaves with Malicious Exceptions & Signals
by: Sridhara, Supraja, et al.
Published: (2024)
by: Sridhara, Supraja, et al.
Published: (2024)
PhishSigma++: Malicious Email Detection with Typed Entity Relations
by: Shang, Shang, et al.
Published: (2026)
by: Shang, Shang, et al.
Published: (2026)
Characterizing the Evolution of Psychological Tactics and Techniques Exploited by Malicious Emails
by: Longtchi, Theodore, et al.
Published: (2024)
by: Longtchi, Theodore, et al.
Published: (2024)
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception
by: Zhao, Yangheng, et al.
Published: (2023)
by: Zhao, Yangheng, et al.
Published: (2023)
Towards Browser Controls to Protect Cookies from Malicious Extensions
by: Tyler, Liam, et al.
Published: (2024)
by: Tyler, Liam, et al.
Published: (2024)
The Pulse of Fileless Cryptojacking Attacks: Malicious PowerShell Scripts
by: Varlioglu, Said, et al.
Published: (2024)
by: Varlioglu, Said, et al.
Published: (2024)
PersonaFingerprint: Measuring Persona Inference on Modern Websites with LLM-Driven Browsing
by: Song, Chuxu, et al.
Published: (2026)
by: Song, Chuxu, et al.
Published: (2026)
MalRAG: A Retrieval-Augmented LLM Framework for Open-set Malicious Traffic Identification
by: Luo, Xiang, et al.
Published: (2025)
by: Luo, Xiang, et al.
Published: (2025)
Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent
by: Shang, Shang, et al.
Published: (2024)
by: Shang, Shang, et al.
Published: (2024)
Datenschutzkonformer LLM-Einsatz: Eine Open-Source-Referenzarchitektur
by: Lambert, Marian, et al.
Published: (2025)
by: Lambert, Marian, et al.
Published: (2025)
WAPITI: A Watermark for Finetuned Open-Source LLMs
by: Chen, Lingjie, et al.
Published: (2024)
by: Chen, Lingjie, et al.
Published: (2024)
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates
by: Yue, Kai, et al.
Published: (2025)
by: Yue, Kai, et al.
Published: (2025)
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data
by: Du, Xuefeng, et al.
Published: (2024)
by: Du, Xuefeng, et al.
Published: (2024)
Similar Items
-
An Analysis of Malicious Packages in Open-Source Software in the Wild
by: Zhou, Xiaoyan, et al.
Published: (2024) -
Malicious GenAI Chrome Extensions: Unpacking Data Exfiltration and Malicious Behaviours
by: Seetharam, Shresta B., et al.
Published: (2025) -
EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs
by: Gysel, Philipp, et al.
Published: (2024) -
An Investigation of Hardware Security Bug Characteristics in Open-Source Projects
by: Ah-kiow, Joey, et al.
Published: (2024) -
Unveiling Malicious Logic: Towards a Statement-Level Taxonomy and Dataset for Securing Python Packages
by: Ryan, Ahmed, et al.
Published: (2025)