Unexpected Data Dependency Creation and Chaining: A New Attack to SDN
Feng Xiao, Jinquan Zhang, Jianwei Huang, Guofei Gu, Dinghao Wu, Peng Liu
摘要
Software-Defined Networking (SDN) is an emerging network architecture that provides programmable networking through a logically centralized controller. As SDN becomes more prominent, its security vulnerabilities become more evident than ever. Serving as the "brain" of a software-defined network, how the control plane (of the network) is exposed to external inputs (i.e., data plane messages) is directly correlated with how secure the network is. Fortunately, due to some unique SDN design choices (e.g., control plane and data plane separation), attackers often struggle to find a reachable path to those vulnerable logic hidden deeply within the control plane.In this paper, we demonstrate that it is possible for a weak adversary who only controls a commodity network device (host or switch) to attack previously unreachable control plane components by maliciously increasing reachability in the control plane. We introduce D2C2 (data dependency creation and chaining) attack, which leverages some widely-used SDN protocol features (e.g., custom fields) to create and chain unexpected data dependencies in order to achieve greater reachability. We have developed a novel tool, SVHunter, which can effectively identify D2C2 vulnerabilities. Till now we have evaluated SVHunter on three mainstream open-source SDN controllers (i.e., ONOS, Floodlight, and Opendaylight) as well as one security-enhanced controller (i.e., SE-Floodlight). SVHunter detects 18 previously unknown vulnerabilities, all of which can be exploited remotely to launch serious attacks such as executing arbitrary commands, exfiltrating confidential files, and crashing SDN services.
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引用它的顶会 Paper5
- Causal Analysis for Software-Defined Networking AttacksBenjamin E. Ujcich, Samuel Jero, Richard Skowyra, Adam Bates 等USENIX Security 2021 · 被引用 26 次
- ProvGuard: Detecting SDN Control Policy Manipulation via Contextual Semantics of Provenance GraphsZiwen Liu, Jian Mao, Jun Zeng, Jiawei Li 等NDSS 2025
- OblivSketch: Oblivious Network Measurement as a Cloud ServiceShangqi Lai, Xingliang Yuan, Joseph K. Liu, Xun Yi 等NDSS 2021
- When Address Learning Goes Wrong: Inducing Forwarding Loops and DoS Amplification in SDNDezhang Kong, Yilun Zhang, Zekun Xie, Ningpeng Zheng 等USENIX Security 2026
- Intender: Fuzzing Intent-Based Networking with Intent-State Transition GuidanceJiwon Kim, Benjamin E. Ujcich, Dave TianUSENIX Security 2023
它引用的顶会 Paper8
- DELTA: A Security Assessment Framework for Software-Defined NetworksSeungsoo Lee, Changhoon Yoon, Chanhee Lee, Seungwon Shin 等NDSS 2017 · 被引用 128 次
- NAVEX: Precise and Scalable Exploit Generation for Dynamic Web ApplicationsAbeer Alhuzali, Rigel Gjomemo, Birhanu Eshete, V. N. VenkatakrishnanUSENIX Security 2018 · 被引用 85 次
- Attacking the Brain: Races in the SDN Control PlaneLei Xu, Jeff Huang, Sungmin Hong, Jialong Zhang 等USENIX Security 2017 · 被引用 77 次
- The CrossPath Attack: Disrupting the SDN Control Channel via Shared LinksJiahao Cao, Qi Li, Renjie Xie, Kun Sun 等USENIX Security 2019 · 被引用 68 次
- Cross-App Poisoning in Software-Defined NetworkingBenjamin E. Ujcich, Samuel Jero, Anne Edmundson, Qi Wang 等CCS 2018 · 被引用 62 次
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