Program Taint Analysis

Program Taint Analysis is a dynamic program analysis technique that tracks the flow of untrusted input data through a software system to identify potential security vulnerabilities by marking tainted data and monitoring its improper usage in security-sensitive operations.

125

Publications

8.5K

Citations

402

Authors

121

Institutions

Publications per year

2017–2026

50

Variants

Taint Analysis

Authors

402

  1. SM
    Stephen McCamant

    University of California, Berkeley, United States

    5 publications · 508 citations

    5

    h-index

  2. JB
    Jonathan Bell

    Columbia University, United States

    4 publications · 108 citations

    4

    h-index

  3. EB
    Eric Bodden

    Technische Universität Darmstadt, Germany

    4 publications · 260 citations

    4

    h-index

  4. JS
    Jiasu Sun

    Peking University, China

    3 publications · 55 citations

    3

    h-index

  5. AA
    Alex Aiken

    Stanford University, United States

    3 publications · 77 citations

    3

    h-index

1–5 of 402

Venues

  1. ACM SIGPLAN Notices

    5 publications · 180 citations

    5

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 5 publications · 207 citations

    5

    h-index

  3. VU Research Portal

    Repository · 2 publications · 226 citations

    2

    h-index

  4. ACM SIGOPS Operating Systems Review

    2 publications · 176 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 58 citations

    2

    h-index

1–5