Vulnerability Database

326,214

Total vulnerabilities in the database

Vulnerabilities for products matching "wireless_lan_controller_software"

Found 1 matching product.

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

cisco / wireless_lan_controller_software

84 vulnerabilities found
Title Severity Exploit Date Affected Version
Low March 27, 2024 3/27/24
>= 8.5.171.0 < 8.6.0.0
>= 8.10.130.0 < 8.10.190.81
High March 27, 2024 3/27/24
< 8.10.190.0
Low September 27, 2023 9/27/23
< 8.10.190.0
Low March 23, 2023 3/23/23
< 8.10.183.0
Medium March 23, 2023 3/23/23
< 8.10.183.0
High September 30, 2022 9/30/22
< 8.10.171.0
High September 23, 2021 9/23/21
>= 8.10 < 8.10.151.0
Low March 24, 2021 3/24/21
< 8.5.171.0
>= 8.6 < 8.10.130.0
Medium March 24, 2021 3/24/21
>= 8.6 < 8.10.150.0
< 8.5.171.0
High March 24, 2021 3/24/21
>= 8.10.112.0 < 8.10.142.0
High September 24, 2020 9/24/20
< 8.5.161.0
>= 8.6 < 8.8.130.0
Medium November 26, 2019 11/26/19
>= 8.4 < 8.10
Low October 16, 2019 10/16/19
< 8.10
Medium April 18, 2019 4/18/19
>= 8.5.131.0 < 8.5.140.0
< 8.3.150.0
>= 8.6.101.0 < 8.8.100.0
Medium April 18, 2019 4/18/19
>= 8.3.143.0 < 8.5.150.0
>= 8.7.106.0 < 8.8.100.0
High April 18, 2019 4/18/19
< 8.3.150.0
>= 8.5.131.0 < 8.5.150.0
>= 8.7.106.0 < 8.8.100.0
Medium April 18, 2019 4/18/19
>= 8.3.143.0 < 8.3.150.0
>= 8.6.101.0 < 8.8.100.0
>= 8.5.103.0 < 8.5.131.0
Medium April 18, 2019 4/18/19
>= 8.3 < 8.5.150.0
>= 8.6 < 8.8.100.0
Low April 18, 2019 4/18/19
== 8.3(141.0)
Medium April 17, 2019 4/17/19
< 8.3.150.0
>= 8.4 < 8.5.140.0
>= 8.6 < 8.8.111.0
Medium April 17, 2019 4/17/19
== 8.5(120.0)
== 8.1(111.0)
High October 17, 2018 10/17/18
== 8.7(1.115)
< 8.2.170.0
>= 8.6 < 8.7.102.0
Medium October 17, 2018 10/17/18
== 8.2(151.0)
High October 17, 2018 10/17/18
< 8.2.170.0
>= 8.7 < 8.7.102.0
>= 8.6 < 8.6.101.0
>= 8.4 < 8.5.110.0
>= 8.3 < 8.3.140.0
High October 17, 2018 10/17/18
== 8.2(151.0)
Low October 17, 2018 10/17/18
== 8.5(120.0)
Low October 17, 2018 10/17/18
== 8.3(133.0)
== 8.5(120.0)
== 8.3(135.0)
Medium October 17, 2018 10/17/18
== 8.9(1.52)
== 8.5(130.0)
High May 2, 2018 5/2/18
== 8.6(1.106)
== 8.6(1.114)
Medium May 2, 2018 5/2/18
== 8.3(133.0)
== 8.5(105.0)
Low May 2, 2018 5/2/18
== 8.3(104.105)
High May 2, 2018 5/2/18
== 8.4(100.0)
== 8.5(107.30)
== 8.5(107.41)
== 8.6(1.108)
High April 6, 2017 4/6/17
== 8.3.102.0
High March 15, 2017 3/15/17
== 6.0199.4
== 7.41.54
== 7.0220.0
== 7.0250.0
== 16.088.0
Medium September 12, 2016 9/12/16
== 8.0.72.140
== 3.0_base
== 3.1.59.24
== 3.1.105.0
== 3.1.111.0
== 3.2.78.0
== 3.2.116.21
== 3.2.150.6
== 3.2.150.10
== 3.2.171.5
== 3.2.171.6
== 3.2.185.0
== 3.2.193.5
== 3.2.195.10
== 3.6.0e
== 4.0.108
== 4.0.155.0
== 4.0.155.5
== 4.0.179.8
== 4.0.179.11
== 4.0.196
== 4.0.206.0
== 4.0.217.0
== 4.0.219.0
== 4.1.171.0
== 4.1.181.0
== 4.1.185.0
== 4.1_base
== 4.2.61.0
== 4.2.99.0
== 4.2.112.0
== 4.2.117.0
== 4.2.130.0
== 4.2.173.0
== 4.2.174.0
== 4.2.176.0
== 4.2.182.0
== 4.2_base
== 5.0.148.0
== 5.0.148.2
== 5.1.151.0
== 5.1.152.0
== 5.1.160.0
== 5.2.157.0
== 5.2.169.0
== 6.0_base
== 7.0_base
== 7.1_base
== 7.2_base
== 7.3.101.0
== 7.3.103.8
== 7.3.112
== 7.3_base
== 7.4.1.1
== 7.4.100
== 7.4.100.60
== 7.4.110.0
== 7.4.121.0
== 7.4_base
== 7.5.102.0
== 7.5.102.11
== 7.5_base
== 7.6.1.62
== 7.6.100.0
== 7.6.110.0
== 7.6.120.0
== 7.6.130.0
== 8.0.0
== 8.0.0.30220.385
== 8.0.100
== 8.0.115.0
== 8.0.120.0
== 8.0.121.0
== 8.1.0
== 8.1.104.37
== 8.1.111.0
== 8.1.122.0
== 8.1.130.0
Medium July 28, 2016 7/28/16
== 7.4.121.0
== 8.0.0.30220.385
High April 21, 2016 4/21/16
== 7.6.100.0
== 7.4.100
== 7.5.102.0
== 7.4.121.0
== 7.4.1.54
== 7.4.110.0
== 7.5.102.11
== 8.0.0
== 8.0.72.140
== 7.4.1.19
Critical April 21, 2016 4/21/16
>= 7.2.0 < 7.4.140.0
>= 7.5.0 < 8.0.115.0
High January 15, 2016 1/15/16
== 8.1.0
== 8.1.111.0
== 8.1.104.37
== 8.0_base
== 8.0.72.140
== 8.1.122.0
Medium October 25, 2015 10/25/15
== 7.4.140.0
== 8.0.120.0
Medium September 26, 2015 9/26/15
== 7.0.252.0
== 7.0.250.0
Medium August 22, 2015 8/22/15
== 8.1.104.37
High June 26, 2015 6/26/15
== 7.0(240.0)
Medium June 24, 2015 6/24/15
== 7.5.102.0
Medium May 16, 2015 5/16/15
== 7.4.100
== 7.0.116.0
== 7.4.1.54
== 7.0_base
== 7.4.110.0
== 7.6.100.0
== 7.0.98.0
== 7.4.121.0
== 7.4_base
== 7.4.100.60
== 7.0.220.0
== 7.0.98.218
Medium May 16, 2015 5/16/15
== 7.5.102.11
== 7.6.100.0
== 7.5.102.0
Low April 7, 2015 4/7/15
<= 8.0.72.140
== 7.6.100.0
== 7.4.121.0
Medium March 28, 2015 3/28/15
== 7.3(103.8)
== 7.4(110.0)
High March 6, 2014 3/6/14
== 7.0
== 7.0.220.0
== 7.0.235.0
== 7.2
== 7.2.103.0
== 7.2.110.0
== 7.3
== 7.3.101.0
== 7.4.100.0
== 7.4.100.60
High March 6, 2014 3/6/14
== 7.4.100.0
== 7.4.100.60

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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.

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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.

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