Spotlight: Shining a Light on Pivot Attacks Using In-network Computing

Pivoting remains an economical and practical penetration method as it allows a malevolent actor to obtain access to a private network through compromised devices. There are various tools both on the web and native to many operating systems, making pivoting simple to execute, even with limited system access. Preventing these attacks is traditionally performed with detection software running on end hosts or with perimeter devices, e.g., firewalls. However, not all end-host devices are under administrator control, and attackers can work around defences using SSH tunnels or obscuring their IP addresses. Rather than relying on middleboxes or end hosts, we leverage a programmable data plane for both their unique vantage point and traffic processing capabilities. Our system makes no assumptions about the underlying traffic and requires no cooperation from end hosts. We showcase Spotlight, a P4-based system that reliably intercepts pivoting attacks while raising only a small number of alarms. We develop a prototype system and demonstrate its effectiveness against various attacks on real-world traces.

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Publication Details

Journal
Proceedings of the ACM on Networking
Published
2025-03-05
DOI
https://doi.org/10.1145/3709373
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
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article

Spotlight: Shining a Light on Pivot Attacks Using In-network Computing

Carson Kuzniar, Israat Haque, Hyojoon Kim
Proceedings of the ACM on Networking
Network Security and Intrusion Detection
article

Spotlight: Shining a Light on Pivot Attacks Using In-network Computing

Carson Kuzniar, Israat Haque, Hyojoon Kim
article en

Abstract

Pivoting remains an economical and practical penetration method as it allows a malevolent actor to obtain access to a private network through compromised devices. There are various tools both on the web and native to many operating systems, making pivoting simple to execute, even with limited system access. Preventing these attacks is traditionally performed with detection software running on end hosts or with perimeter devices, e.g., firewalls. However, not all end-host devices are under administrator control, and attackers can work around defences using SSH tunnels or obscuring their IP addresses. Rather than relying on middleboxes or end hosts, we leverage a programmable data plane for both their unique vantage point and traffic processing capabilities. Our system makes no assumptions about the underlying traffic and requires no cooperation from end hosts. We showcase Spotlight, a P4-based system that reliably intercepts pivoting attacks while raising only a small number of alarms. We develop a prototype system and demonstrate its effectiveness against various attacks on real-world traces.

Proceedings of the ACM on NetworkingVol. 3(CoNEXT1)
Dalhousie University (CA), University of Virginia (US)
Openalex Percentile: Top 96%
Network Security and Intrusion Detection
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Spotlight: Shining a Light on Pivot Attacks Using In-network Computing — Carson Kuzniar, Israat Haque, et al. · Proceedings of the ACM on Networking (2025) | TGRS Research Map | TGRS