Vulnerability Database

328,409

Total vulnerabilities in the database

Vulnerabilities for products matching "struts"

Found 2 matching products. Filters apply to all results.

You can search for specific versions with /product/struts/1.2.3

apache / struts

90 vulnerabilities found
Title Severity Exploit Date Affected Version
High January 11, 2026 1/11/26
>= 2.0.0 <= 2.3.37
>= 2.5.0 <= 2.5.33
>= 6.0.0 < 6.1.1
High December 10, 2025 12/10/25
>= 2.0.0 <= 2.3.37
>= 2.5.0 <= 2.5.33
>= 6.0.0 < 6.8.0
>= 7.0.0 < 7.1.1
High December 1, 2025 12/1/25
>= 2.0.0 < 6.8.0
>= 7.0.0 < 7.1.1
Critical December 11, 2024 12/11/24
>= 2.0.0 < 6.4.0
Critical December 7, 2023 12/7/23
>= 2.0.0 < 2.5.33
>= 6.0.0 < 6.3.0.2
High December 5, 2023 12/5/23
>= 2.0.0 < 2.5.32
>= 6.1.2.1 < 6.3.0.1
Low June 14, 2023 6/14/23
< 2.5.31
>= 6.0.0 < 6.1.2.1
Low June 14, 2023 6/14/23
< 2.5.31
>= 6.0.0 < 6.1.2.1
Critical April 12, 2022 4/12/22
>= 2.0.0 <= 2.5.29
Medium December 16, 2020 12/16/20
< 6.0.0
Medium December 16, 2020 12/16/20
< 6.0.0
Critical December 11, 2020 12/11/20
>= 2.0.0 < 2.5.30
Critical September 14, 2020 9/14/20
>= 2.0.0 <= 2.5.20
High September 14, 2020 9/14/20
>= 2.0.0 <= 2.5.20
Medium February 27, 2020 2/27/20
>= 2.0.0 < 2.3.20
High December 5, 2019 12/5/19
== 2.0.0
Critical November 1, 2019 11/1/19
>= 2.0.0 < 2.3.1.2
High August 22, 2018 8/22/18
>= 2.0.4 < 2.3.35
>= 2.5.0 < 2.5.17
Medium March 27, 2018 3/27/18
>= 2.1.1 <= 2.5.14.1
Medium December 1, 2017 12/1/17
>= 2.5 <= 2.5.14
Medium October 30, 2017 10/30/17
== 2.3.1.1
== 2.0.9
== 2.3.5
== 2.0.12
== 2.2.3.1
== 2.1.0
== 2.3.15
== 2.3.14
== 2.0.8
== 2.0.7
== 2.0.4
== 2.3.13
== 2.2.1
== 2.3.16
== 2.3.17
== 2.3.9
== 2.1.8.1
== 2.3.3
== 2.3.16.3
== 2.3.4
== 2.1.3
== 2.3.6
== 2.1.2
== 2.1.5
== 2.0.1
== 2.3.15.2
== 2.3.14.3
== 2.3.19
== 2.0.2
== 2.1.8
== 2.3.4.1
== 2.0.11.1
== 2.3.8
== 2.3.7
== 2.0.3
== 2.3.14.2
== 2.0.14
== 2.3.10
== 2.3.15.1
== 2.3.1
== 2.0.11
== 2.3.16.2
== 2.1.6
== 2.0.5
== 2.2.3
== 2.3.12
== 2.1.4
== 2.2.1.1
== 2.0.11.2
== 2.0.13
== 2.3.1.2
== 2.3.11
== 2.3.15.3
== 2.3.16.1
== 2.1.1
== 2.0.6
== 2.0.10
== 2.3.14.1
== 2.1.7
High October 16, 2017 10/16/17
>= 2.0.0 < 2.3.29
Low September 25, 2017 9/25/17
>= 2.0.0 <= 2.3.16.3
High September 20, 2017 9/20/17
== 2.3.20
== 2.3.20.1
== 2.3.20.2
== 2.3.20.3
== 2.3.21
== 2.3.22
== 2.3.23
== 2.3.24
== 2.3.24.1
== 2.3.24.2
== 2.3.24.3
== 2.3.25
== 2.3.26
== 2.3.27
== 2.3.28
== 2.3.28.1
== 2.3.29
== 2.3.30
Low September 20, 2017 9/20/17
== 2.5.2
== 2.5.1
== 2.5.4
== 2.5
== 2.5.5
== 2.5.3
High September 20, 2017 9/20/17
== 2.0.1
== 2.0.10
== 2.0.11
== 2.0.11.1
== 2.0.11.2
== 2.0.12
== 2.0.13
== 2.0.14
== 2.0.2
== 2.0.3
== 2.0.4
== 2.0.5
== 2.0.6
== 2.0.7
== 2.0.8
== 2.0.9
== 2.1.0
== 2.1.1
== 2.1.2
== 2.1.3
== 2.1.4
== 2.1.5
== 2.1.6
== 2.1.8
== 2.1.8.1
== 2.2.1
== 2.2.1.1
== 2.2.3
== 2.2.3.1
== 2.3.1
== 2.3.1.1
== 2.3.1.2
== 2.3.10
== 2.3.11
== 2.3.12
== 2.3.13
== 2.3.14
== 2.3.14.1
== 2.3.14.2
== 2.3.14.3
== 2.3.15
== 2.3.15.1
== 2.3.15.2
== 2.3.15.3
== 2.3.16
== 2.3.16.1
== 2.3.16.2
== 2.3.16.3
== 2.3.17
== 2.3.19
== 2.3.20
== 2.3.20.1
== 2.3.20.2
== 2.3.21
== 2.3.22
== 2.3.23
== 2.3.24.2
== 2.3.24.3
== 2.3.25
== 2.3.26
== 2.3.27
== 2.3.28
== 2.3.28.1
== 2.3.29
== 2.3.3
== 2.3.30
== 2.3.31
== 2.3.32
== 2.3.33
== 2.3.4
== 2.3.4.1
== 2.3.5
== 2.3.6
== 2.3.7
== 2.3.8
== 2.3.9
== 2.5
== 2.5-beta1
== 2.5-beta2
== 2.5-beta3
== 2.5.1
== 2.5.10
== 2.5.2
== 2.5.3
== 2.5.4
== 2.5.5
== 2.5.6
== 2.5.7
== 2.5.8
== 2.5.9
Medium September 20, 2017 9/20/17
== 2.5.9
== 2.3.28
== 2.3.20.2
== 2.5-beta2
== 2.3.15
== 2.5-beta3
== 2.3.25
== 2.5.2
== 2.3.14
== 2.3.32
== 2.3.13
== 2.3.16
== 2.3.24.2
== 2.3.17
== 2.5.10
== 2.3.22
== 2.5.6
== 2.3.9
== 2.3.16.3
== 2.5-beta1
== 2.3.23
== 2.3.24.3
== 2.3.15.2
== 2.3.29
== 2.3.14.3
== 2.3.19
== 2.3.20.1
== 2.3.8
== 2.3.30
== 2.3.7
== 2.5.1
== 2.3.28.1
== 2.5.4
== 2.3.14.2
== 2.5.7
== 2.5
== 2.5.5
== 2.3.10
== 2.3.15.1
== 2.3.16.2
== 2.5.3
== 2.3.26
== 2.3.12
== 2.3.27
== 2.3.31
== 2.3.21
== 2.3.20
== 2.3.11
== 2.3.15.3
== 2.5.10.1
== 2.3.16.1
== 2.5.8
== 2.3.14.1
== 2.3.33
== 2.5.12
Medium September 20, 2017 9/20/17
== 2.5.9
== 2.3.28
== 2.3.20.2
== 2.5-beta2
== 2.3.15
== 2.5-beta3
== 2.3.25
== 2.5.2
== 2.3.14
== 2.3.32
== 2.3.13
== 2.3.16
== 2.3.24.2
== 2.3.17
== 2.5.10
== 2.3.22
== 2.5.6
== 2.3.9
== 2.3.16.3
== 2.5-beta1
== 2.3.23
== 2.3.24.3
== 2.3.15.2
== 2.3.29
== 2.3.14.3
== 2.3.19
== 2.3.20.1
== 2.3.8
== 2.3.30
== 2.3.7
== 2.5.1
== 2.3.28.1
== 2.5.4
== 2.3.14.2
== 2.5.7
== 2.5
== 2.5.5
== 2.3.10
== 2.3.15.1
== 2.3.16.2
== 2.5.3
== 2.3.26
== 2.3.12
== 2.3.27
== 2.3.31
== 2.3.21
== 2.3.20
== 2.3.11
== 2.3.15.3
== 2.5.10.1
== 2.3.16.1
== 2.5.8
== 2.3.14.1
== 2.3.33
== 2.5.12
High September 15, 2017 9/15/17
>= 2.1.2 < 2.3.34
>= 2.5.0 < 2.5.13
Medium August 29, 2017 8/29/17
== 2.3.1.1
== 2.0.9
== 2.3.5
== 2.0.12
== 2.2.3.1
== 2.1.0
== 2.3.20.2
== 2.3.15
== 2.0.0
== 2.3.14
== 2.0.8
== 2.0.7
== 2.0.4
== 2.3.13
== 2.2.1
== 2.3.16
== 2.3.17
== 2.3.22
== 2.3.9
== 2.1.8.1
== 2.3.3
== 2.3.16.3
== 2.3.4
== 2.1.3
== 2.3.23
== 2.3.6
== 2.1.2
== 2.1.5
== 2.0.1
== 2.3.15.2
== 2.3.14.3
== 2.3.19
== 2.0.2
== 2.1.8
== 2.3.4.1
== 2.3.20.1
== 2.0.11.1
== 2.3.8
== 2.3.7
== 2.3.24
== 2.0.3
== 2.3.14.2
== 2.0.14
== 2.3.10
== 2.3.15.1
== 2.3.1
== 2.0.11
== 2.3.16.2
== 2.1.6
== 2.0.5
== 2.2.3
== 2.3.12
== 2.1.4
== 2.2.1.1
== 2.0.11.2
== 2.0.13
== 2.3.1.2
== 2.3.21
== 2.3.20
== 2.3.11
== 2.3.15.3
== 2.3.16.1
== 2.1.1
== 2.0.6
== 2.0.10
== 2.3.14.1
Low July 13, 2017 7/13/17
== 2.5.2
== 2.5.10
== 2.5.1
== 2.5
== 2.5.5
== 2.5.10.1
== 2.5.8
Medium July 13, 2017 7/13/17
== 2.5.9
== 2.3.28
== 2.3.20.2
== 2.3.15
== 2.3.25
== 2.5.2
== 2.3.14
== 2.3.32
== 2.3.13
== 2.3.16
== 2.3.24.2
== 2.3.17
== 2.5.10
== 2.3.24.1
== 2.3.22
== 2.5.6
== 2.3.9
== 2.3.16.3
== 2.3.23
== 2.3.24.3
== 2.3.15.2
== 2.3.29
== 2.3.14.3
== 2.3.19
== 2.3.20.1
== 2.3.8
== 2.3.30
== 2.3.7
== 2.3.24
== 2.5.1
== 2.3.28.1
== 2.5.4
== 2.3.14.2
== 2.3.20.3
== 2.5.7
== 2.5
== 2.5.5
== 2.3.10
== 2.3.15.1
== 2.3.16.2
== 2.5.3
== 2.3.26
== 2.3.12
== 2.3.27
== 2.3.31
== 2.3.21
== 2.3.20
== 2.3.11
== 2.3.15.3
== 2.5.10.1
== 2.3.16.1
== 2.5.8
== 2.3.14.1
Critical July 10, 2017 7/10/17
== 2.3.1.1
== 2.3.28
== 2.3.15
== 2.3.14
== 2.3.32
== 2.3.16
== 2.3.24.1
== 2.3.3
== 2.3.16.3
== 2.3.4
== 2.3.24.3
== 2.3.15.2
== 2.3.29
== 2.3.14.3
== 2.3.4.1
== 2.3.20.1
== 2.3.8
== 2.3.30
== 2.3.7
== 2.3.24
== 2.3.28.1
== 2.3.14.2
== 2.3.20.3
== 2.3.15.1
== 2.3.1
== 2.3.16.2
== 2.3.12
== 2.3.1.2
== 2.3.31
== 2.3.20
== 2.3.15.3
== 2.3.16.1
== 2.3.14.1
Critical March 11, 2017 3/11/17
>= 2.2.3 < 2.3.32
>= 2.5.0 < 2.5.10.1
High October 3, 2016 10/3/16
== 2.3.1.1
== 2.0.9
== 2.0.12
== 2.2.3.1
== 2.3.28
== 2.5-beta2
== 2.3.15
== 2.0.0
== 2.5-beta3
== 2.3.14
== 2.0.8
== 2.0.7
== 2.0.4
== 2.2.1
== 2.3.16
== 2.3.24.1
== 2.1.8.1
== 2.3.3
== 2.3.16.3
== 2.5-beta1
== 2.3.4
== 2.3.24.3
== 2.0.1
== 2.3.15.2
== 2.3.14.3
== 2.0.2
== 2.1.8
== 2.3.4.1
== 2.3.20.1
== 2.0.11.1
== 2.3.8
== 2.3.7
== 2.3.24
== 2.0.3
== 2.3.28.1
== 2.3.14.2
== 2.3.20.3
== 2.5
== 2.0.14
== 2.3.15.1
== 2.3.1
== 2.0.11
== 2.3.16.2
== 2.1.6
== 2.0.5
== 2.2.3
== 2.3.12
== 2.2.1.1
== 2.0.11.2
== 2.3.1.2
== 2.3.20
== 2.3.15.3
== 2.3.16.1
== 2.0.6
== 2.3.14.1
Medium July 4, 2016 7/4/16
== 2.3.28
== 2.5-beta2
== 2.5-beta3
== 2.3.24.1
== 2.5-beta1
== 2.3.24.3
== 2.3.20.1
== 2.3.24
== 2.3.28.1
== 2.3.20.3
== 2.5
== 2.3.20
High July 4, 2016 7/4/16
== 2.3.28
== 2.3.24.1
== 2.3.24.3
== 2.3.20.1
== 2.3.24
== 2.3.20.3
== 2.3.20
Medium July 4, 2016 7/4/16
== 2.3.28
== 2.3.24.1
== 2.3.24.3
== 2.3.20.1
== 2.3.24
== 2.3.20.3
== 2.3.20
Medium July 4, 2016 7/4/16
== 2.3.28
== 2.3.24.1
== 2.3.24.3
== 2.3.20.1
== 2.3.24
== 2.3.20.3
== 2.3.20
Medium July 4, 2016 7/4/16
== 2.3.28
== 2.3.24.1
== 2.3.24.3
== 2.3.20.1
== 2.3.24
== 2.3.28.1
== 2.3.20.3
== 2.3.20
Medium July 4, 2016 7/4/16
== 1.2.8
== 1.3.5
== 1.3.8
== 1.1-rc2
== 1.1
== 1.2.7
== 1.2.6
== 1.0
== 1.1-rc1
== 1.0.2
== 1.3.10
== 1.1-b1
== 1.2.4
== 1.2.2
== 1.1-b2
== 1.1-b3
== 1.2.9
== 1.0-beta1
== 1.0-beta2
== 1.0-beta3
== 1.0.1
== 1.2.0
== 1.2.1
== 1.2.3
== 1.2.5
== 1.3.6
== 1.3.7
== 1.3.9
Medium July 4, 2016 7/4/16
== 1.0
== 1.0-beta1
== 1.0-beta2
== 1.0-beta3
== 1.0.1
== 1.0.2
== 1.1
== 1.1-b1
== 1.1-b2
== 1.1-b3
== 1.1-rc1
== 1.1-rc2
== 1.2.0
== 1.2.1
== 1.2.2
== 1.2.3
== 1.2.4
== 1.2.5
== 1.2.6
== 1.2.7
== 1.2.8
== 1.2.9
== 1.3.10
== 1.3.5
== 1.3.6
== 1.3.7
== 1.3.8
== 1.3.9
Medium July 4, 2016 7/4/16
== 1.2.8
== 1.3.5
== 1.3.8
== 1.1-rc2
== 1.1
== 1.2.7
== 1.2.6
== 1.0
== 1.1-rc1
== 1.0.2
== 1.3.10
== 1.1-b1
== 1.2.4
== 1.2.2
== 1.1-b2
== 1.1-b3
== 1.2.9
Medium June 7, 2016 6/7/16
== 2.0.0
== 2.0.1
== 2.0.2
== 2.0.3
== 2.0.4
== 2.0.5
== 2.0.6
== 2.0.7
== 2.0.8
== 2.0.9
== 2.0.10
== 2.0.11
== 2.0.11.1
== 2.0.11.2
== 2.0.12
== 2.0.13
== 2.0.14
== 2.1.0
== 2.1.1
== 2.1.2
== 2.1.3
== 2.1.4
== 2.1.5
== 2.1.6
== 2.1.8
== 2.1.8.1
== 2.2.1
== 2.2.1.1
== 2.2.3
== 2.2.3.1
== 2.3.1
== 2.3.1.1
== 2.3.1.2
== 2.3.4
== 2.3.4.1
== 2.3.7
== 2.3.8
== 2.3.12
== 2.3.14
== 2.3.14.1
== 2.3.14.2
== 2.3.14.3
== 2.3.15
== 2.3.15.1
== 2.3.15.2
== 2.3.15.3
== 2.3.16
== 2.3.16.1
== 2.3.16.2
== 2.3.16.3
== 2.3.20
== 2.3.20.1
== 2.3.20.3
== 2.3.24
== 2.3.24.1
High June 7, 2016 6/7/16
== 2.3.28
== 2.3.24.1
== 2.3.20.1
== 2.3.24
== 2.3.20
High April 26, 2016 4/26/16
== 2.3.1.1
== 2.0.9
== 2.0.12
== 2.2.3.1
== 2.3.28
== 2.1.0
== 2.3.15
== 2.0.0
== 2.3.14
== 2.0.8
== 2.0.7
== 2.0.4
== 2.2.1
== 2.3.16
== 2.3.24.1
== 2.1.8.1
== 2.3.3
== 2.3.16.3
== 2.3.4
== 2.1.3
== 2.1.2
== 2.1.5
== 2.0.1
== 2.3.15.2
== 2.3.14.3
== 2.0.2
== 2.1.8
== 2.3.4.1
== 2.3.20.1
== 2.0.11.1
== 2.3.8
== 2.3.7
== 2.3.24
== 2.0.3
== 2.3.14.2
== 2.0.14
== 2.3.15.1
== 2.3.1
== 2.0.11
== 2.3.16.2
== 2.1.6
== 2.0.5
== 2.2.3
== 2.3.12
== 2.1.4
== 2.2.1.1
== 2.0.11.2
== 2.0.13
== 2.3.1.2
== 2.3.20
== 2.3.15.3
== 2.3.16.1
== 2.1.1
== 2.0.6
== 2.0.10
== 2.3.14.1
High April 26, 2016 4/26/16
== 2.3.1.1
== 2.0.9
== 2.0.12
== 2.2.3.1
== 2.3.28
== 2.1.0
== 2.3.15
== 2.0.0
== 2.3.14
== 2.0.8
== 2.0.7
== 2.0.4
== 2.2.1
== 2.3.16
== 2.3.24.1
== 2.1.8.1
== 2.3.3
== 2.3.16.3
== 2.3.4
== 2.1.3
== 2.1.2
== 2.1.5
== 2.0.1
== 2.3.15.2
== 2.3.14.3
== 2.0.2
== 2.1.8
== 2.3.4.1
== 2.3.20.1
== 2.0.11.1
== 2.3.8
== 2.3.7
== 2.3.24
== 2.0.3
== 2.3.14.2
== 2.0.14
== 2.3.15.1
== 2.3.1
== 2.0.11
== 2.3.16.2
== 2.1.6
== 2.0.5
== 2.2.3
== 2.3.12
== 2.1.4
== 2.2.1.1
== 2.0.11.2
== 2.0.13
== 2.3.1.2
== 2.3.20
== 2.3.15.3
== 2.3.16.1
== 2.1.1
== 2.0.6
== 2.0.10
== 2.3.14.1
Low April 12, 2016 4/12/16
>= 2.0.0 <= 2.3.24.1
Low April 12, 2016 4/12/16
== 2.3.1.1
== 2.0.9
== 2.0.12
== 2.2.3.1
== 2.1.0
== 2.3.15
== 2.0.0
== 2.3.14
== 2.0.8
== 2.0.7
== 2.0.4
== 2.2.1
== 2.3.16
== 2.3.24.1
== 2.1.8.1
== 2.3.3
== 2.3.16.3
== 2.3.4
== 2.1.3
== 2.1.2
== 2.1.5
== 2.0.1
== 2.3.15.2
== 2.1
== 2.3.14.3
== 2.0.2
== 2.1.8
== 2.3.4.1
== 2.0.11.1
== 2.3.8
== 2.1.2_beta
== 2.3.7
== 2.3.24
== 2.0.3
== 2.3.14.2
== 2.0.14
== 2.3.15.1
== 2.3.1
== 2.0.11
== 2.3.16.2
== 2.1.6
== 2.0.5
== 2.2.3
== 2.3.12
== 2.1.4
== 2.2.1.1
== 2.0.11.2
== 2.0.13
== 2.3.1.2
== 2.3.20
== 2.3.15.3
== 2.3.16.1
== 2.1.1
== 2.0.6
== 2.0.10
== 2.3.14.1
High April 12, 2016 4/12/16
>= 2.0.0 < 2.3.20.3
>= 2.3.21 <= 2.3.24.1
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struts / struts

5 vulnerabilities found
Title Severity Exploit Date Affected Version
Medium July 30, 2025 7/30/25
== 1.2.9
Low February 7, 2012 2/7/12
<= 1.3.10
High March 30, 2006 3/30/06
< 1.2.9
Low March 30, 2006 3/30/06
< 1.2.9
High March 30, 2006 3/30/06
< 1.2.9

Showing vulnerabilities for 2 products matching "struts". Each product has independent pagination.

Frequently Asked Questions

A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.

CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. In practice, risk increases sharply when exploitation becomes reliable or widespread.

Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.

Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

SynScan combines attack surface monitoring and continuous security auditing to keep your inventory current, flag high-impact vulnerabilities early, and help you turn raw findings into a practical remediation plan.