Copertina

Call graph discovery in binary programs from unknown instruction set architectures

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pettersen, Håvard, Morrison, Donn
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Cryptography and Security Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

OriginPruner: Leveraging Method Origins for Guided Call Graph Pruning
di: Mir, Amir M., et al.
Pubblicazione: (2024)

Building Call Graph of WebAssembly Programs via Abstract Semantics
di: Paccamiccio, Mattia, et al.
Pubblicazione: (2024)

What's in a Package? Getting Visibility Into Dependencies Using Security-Sensitive API Calls
di: Rahman, Imranur, et al.
Pubblicazione: (2024)

Toward Automated Security Risk Detection in Large Software Using Call Graph Analysis
di: Pecka, Nicholas, et al.
Pubblicazione: (2025)

Clawdrain: Exploiting Tool-Calling Chains for Stealthy Token Exhaustion in OpenClaw Agents
di: Dong, Ben, et al.
Pubblicazione: (2026)

PhaseSeed: Precise Call Graph Construction for Split-Phase Applications using Dynamic Seeding
di: Palit, Tapti, et al.
Pubblicazione: (2025)

Who Tests the Testers? Systematic Enumeration and Coverage Audit of LLM Agent Tool Call Safety
di: Chen, Xuan, et al.
Pubblicazione: (2026)

A hybrid LLM workflow can help identify user privilege related variables in programs of any size
di: Wang, Haizhou, et al.
Pubblicazione: (2024)

OpenSage: Self-programming Agent Generation Engine
di: Li, Hongwei, et al.
Pubblicazione: (2026)

Beyond Imprecise Distance Metrics: Trace-Guided Directed Greybox Fuzzing via LLM-Predicted Call Stacks
di: Zhang, Yifan, et al.
Pubblicazione: (2025)

iResolveX: Multi-Layered Indirect Call Resolution via Static Reasoning and Learning-Augmented Refinement
di: Santra, Monika, et al.
Pubblicazione: (2026)

SAND: Decoupling Sanitization from Fuzzing for Low Overhead
di: Kong, Ziqiao, et al.
Pubblicazione: (2024)

SafeTrans: LLM-assisted Transpilation from C to Rust
di: Farrukh, Muhammad, et al.
Pubblicazione: (2025)

Lightweight Vulnerability Detection from Code Metrics and Token Features
di: Chiu, Chun Yin
Pubblicazione: (2026)

The Power of Words: Generating PowerShell Attacks from Natural Language
di: Liguori, Pietro, et al.
Pubblicazione: (2024)

Guardians of the Ledger: Protecting Decentralized Exchanges from State Derailment Defects
di: Li, Zongwei, et al.
Pubblicazione: (2024)

The Kubernetes Security Landscape: AI-Driven Insights from Developer Discussions
di: Curtis, J. Alexander, et al.
Pubblicazione: (2024)

A Comparison of Vulnerability Feature Extraction Methods from Textual Attack Patterns
di: Othman, Refat, et al.
Pubblicazione: (2024)

Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
di: Meng, Zhaoyi, et al.
Pubblicazione: (2024)

Triggering and Detecting Exploitable Library Vulnerability from the Client by Directed Greybox Fuzzing
di: Zhao, Yukai, et al.
Pubblicazione: (2026)

Decoupling Identity from Access: Credential Broker Patterns for Secure CI/CD
di: Avirneni, Surya Teja
Pubblicazione: (2025)

SoK: Enhancing Privacy-Preserving Software Development from a Developers' Perspective
di: Wijesundara, Tharaka, et al.
Pubblicazione: (2025)

How Far are App Secrets from Being Stolen? A Case Study on Android
di: Wei, Lili, et al.
Pubblicazione: (2025)

VDGraph: A Graph-Theoretic Approach to Unlock Insights from SBOM and SCA Data
di: Xia, Howell, et al.
Pubblicazione: (2025)

Understanding the Changing Landscape of Automotive Software Vulnerabilities: Insights from a Seven-Year Analysis
di: Basu, Srijita, et al.
Pubblicazione: (2025)

Circumventing Platform Defenses at Scale: Automated Content Replication from YouTube to Blockchain-Based Decentralized Storage
di: Akram, Muhammad Zeeshan
Pubblicazione: (2026)

Security of Language Models for Code: A Systematic Literature Review
di: Chen, Yuchen, et al.
Pubblicazione: (2024)

An Industry Interview Study of Software Signing for Supply Chain Security
di: Kalu, Kelechi G., et al.
Pubblicazione: (2024)

MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code
di: Ning, Kaiwen, et al.
Pubblicazione: (2024)

Maven-Hijack: Software Supply Chain Attack Exploiting Packaging Order
di: Reyes, Frank, et al.
Pubblicazione: (2024)

Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools
di: Wang, Zexu, et al.
Pubblicazione: (2024)

Towards Robust Detection of Open Source Software Supply Chain Poisoning Attacks in Industry Environments
di: Zheng, Xinyi, et al.
Pubblicazione: (2024)

Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts
di: Zhang, Jiashuo, et al.
Pubblicazione: (2024)

PowerPeeler: A Precise and General Dynamic Deobfuscation Method for PowerShell Scripts
di: Li, Ruijie, et al.
Pubblicazione: (2024)

Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models
di: Zhang, Ying, et al.
Pubblicazione: (2024)

Continuous risk assessment in secure DevOps
di: Czekster, Ricardo M.
Pubblicazione: (2024)

Scalable Test Generation to Trigger Rare Targets in High-Level Synthesizable IPs for Cloud FPGAs
di: Debnath, Mukta, et al.
Pubblicazione: (2024)

Asset-centric Threat Modeling for AI-based Systems
di: von der Assen, Jan, et al.
Pubblicazione: (2024)

Dissecting Payload-based Transaction Phishing on Ethereum
di: Chen, Zhuo, et al.
Pubblicazione: (2024)

Fixing Security Vulnerabilities with AI in OSS-Fuzz
di: Zhang, Yuntong, et al.
Pubblicazione: (2024)