Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Detecting Stealth Software with Strider GhostBuster
DSN '05 Proceedings of the 2005 International Conference on Dependable Systems and Networks
USENIX-SS'06 Proceedings of the 15th conference on USENIX Security Symposium - Volume 15
SecVisor: a tiny hypervisor to provide lifetime kernel code integrity for commodity OSes
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Stealthy malware detection through vmm-based "out-of-the-box" semantic view reconstruction
Proceedings of the 14th ACM conference on Computer and communications security
VMM-based hidden process detection and identification using Lycosid
Proceedings of the fourth ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Guest-Transparent Prevention of Kernel Rootkits with VMM-Based Memory Shadowing
RAID '08 Proceedings of the 11th international symposium on Recent Advances in Intrusion Detection
Countering Persistent Kernel Rootkits through Systematic Hook Discovery
RAID '08 Proceedings of the 11th international symposium on Recent Advances in Intrusion Detection
Automatic Inference and Enforcement of Kernel Data Structure Invariants
ACSAC '08 Proceedings of the 2008 Annual Computer Security Applications Conference
Countering kernel rootkits with lightweight hook protection
Proceedings of the 16th ACM conference on Computer and communications security
Mapping kernel objects to enable systematic integrity checking
Proceedings of the 16th ACM conference on Computer and communications security
Robust signatures for kernel data structures
Proceedings of the 16th ACM conference on Computer and communications security
Searching for processes and threads in Microsoft Windows memory dumps
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Forensic carving of network packets and associated data structures
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Identifying OS kernel objects for run-time security analysis
NSS'12 Proceedings of the 6th international conference on Network and System Security
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Recent years have witnessed an increasing threat from kernel rootkits. A common feature of such attack is hiding malicious objects to conceal their presence, including processes, sockets, and kernel modules. Scanning memory with object signatures to detect the stealthy rootkit has been proven to be a powerful approach only when it is hard for adversaries to evade. However, it is difficult, if not impossible, to select fields from a single data structure as robust signatures with traditional techniques. In this paper, we propose the concepts of inter-structure signature and imported signature, and present techniques to detect stealthy malware based on these concepts. The key idea is to use cross-reference relationships of multiple data structures as signatures to detect stealthy malware, and to import some extra information into regions attached to target data structures as signatures. We have inferred four invariants as signatures to detect hidden processes, sockets, and kernel modules in Linux respectively and implemented a prototype detection system called DeepScanner. Meanwhile, we have also developed a hypervisor-based monitor to protect imported signatures. Our experimental result shows that our DeepScanner can effectively and efficiently detect stealthy objects hidden by seven real-world rootkits without any false positives and false negatives, and an adversary can hardly evade DeepScanner if he/she does not break the normal functions of target objects and the system.