Bulkhead: Automated Semantic Detection and Remediation of Container Escape Vulnerabilities
Qiyuan Fan, Zhi Li, Junjie Li, XiaoFeng Wang, Bin Yuan, Deqing Zou
cs.CR, cs.AI, cs.SE
Submitted: 2026-07-14
Code: https://github.com/joernio/joern
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications
- Quantifying Frontier LLM Capabilities for Container Sandbox Escape
- CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection
- Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask
Related papers
- SoK: AI-Augmented Binary Reversing
- Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM
- Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages
- Efficient Fuzzy PSI under One-Sided Assumptions
- Sealing the Audit-Runtime Gap for LLM Skills
- Token Composition: A Graph Based on EVM Logs