research-article

Open access

Preventing Dynamic Library Compromise on Node.js via RWX-Based Privilege Reduction

Authors:

Nikos Vasilakis,

Cristian-Alexandru Staicu,

Grigoris Ntousakis,

Konstantinos Kallas,

Michael PradelAuthors Info & Claims

CCS '21: Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security

Pages 1821 - 1838

https://doi.org/10.1145/3460120.3484535

Published: 13 November 2021 Publication History

Abstract

Third-party libraries ease the development of large-scale software systems. However, libraries often execute with significantly more privilege than needed to complete their task. Such additional privilege is sometimes exploited at runtime via inputs passed to a library, even when the library itself is not actively malicious. We present Mir, a system addressing dynamic compromise by introducing a fine-grained read-write-execute (RWX) permission model at the boundaries of libraries: every field of every free variable name in the context of an imported library is governed by a permission set. To help specify the permissions given to existing code, Mir's automated inference generates default permissions by analyzing how libraries are used by their clients. Applied to over 1,000 JavaScript libraries for Node.js, Mir shows practical security (61/63 attacks mitigated), performance (2.1s for static analysis and +1.93% for dynamic enforcement), and compatibility (99.09%) characteristics---and enables a novel quantification of privilege reduction.

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Cited By

Liu ZAn KCao Y(2024)Undefined-oriented Programming: Detecting and Chaining Prototype Pollution Gadgets in Node.js Template Engines for Malicious Consequences2024 IEEE Symposium on Security and Privacy (SP)10.1109/SP54263.2024.00121(4015-4033)Online publication date: 19-May-2024
https://doi.org/10.1109/SP54263.2024.00121
Shcherbakov MBalliu MStaicu CCalandrino JTroncoso C(2023)Silent springProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620546(5521-5538)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.5555/3620237.3620546
Abbadini MFacchinetti DOldani GRossi MParaboschi S(2023)NatiSand: Native Code Sandboxing for JavaScript RuntimesProceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3607199.3607233(639-653)Online publication date: 16-Oct-2023
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Index Terms

Preventing Dynamic Library Compromise on Node.js via RWX-Based Privilege Reduction
1. Security and privacy
  1. Software and application security
2. Software and its engineering
  1. Software notations and tools
    1. Context specific languages
      1. Scripting languages
  2. Software organization and properties
    1. Software functional properties
      1. Formal methods
        Automated static analysis
        Dynamic analysis

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cover image ACM Conferences

CCS '21: Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security

November 2021

3558 pages

ISBN:9781450384544

DOI:10.1145/3460120

General Chairs:
Yongdae Kim
KAIST, Republic of Korea
,
Jong Kim
POSTECH, Republic of Korea
,
Program Chairs:
Giovanni Vigna
University of California, Santa Barbara / VMware, USA
,
Elaine Shi
Carnegie Mellon University, USA

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Cited By

Liu ZAn KCao Y(2024)Undefined-oriented Programming: Detecting and Chaining Prototype Pollution Gadgets in Node.js Template Engines for Malicious Consequences2024 IEEE Symposium on Security and Privacy (SP)10.1109/SP54263.2024.00121(4015-4033)Online publication date: 19-May-2024
https://doi.org/10.1109/SP54263.2024.00121
Shcherbakov MBalliu MStaicu CCalandrino JTroncoso C(2023)Silent springProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620546(5521-5538)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.5555/3620237.3620546
Abbadini MFacchinetti DOldani GRossi MParaboschi S(2023)NatiSand: Native Code Sandboxing for JavaScript RuntimesProceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3607199.3607233(639-653)Online publication date: 16-Oct-2023
https://dl.acm.org/doi/10.1145/3607199.3607233
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