Vulnerability Database

326,214

Total vulnerabilities in the database

Vulnerabilities for products matching "anyconnect_secure_mobility_client"

Found 1 matching product.

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

cisco / anyconnect_secure_mobility_client

68 vulnerabilities found
Title Severity Exploit Date Affected Version
Medium February 12, 2025 2/12/25
< 4.9.00086
Low October 23, 2024 10/23/24
== 4.9.00086
== 4.9.01095
== 4.9.02028
== 4.9.03047
== 4.9.03049
== 4.9.04043
== 4.9.06037
== 4.9.05042
== 4.9.04053
Medium November 22, 2023 11/22/23
== 4.9.00086
== 4.9.01095
== 4.9.02028
== 4.9.03047
== 4.9.03049
== 4.9.04043
== 4.9.04053
== 4.9.05042
== 4.9.06037
Medium November 22, 2023 11/22/23
== 4.9.00086
== 4.9.01095
== 4.9.02028
== 4.9.03047
== 4.9.03049
== 4.9.04043
== 4.9.04053
== 4.9.05042
== 4.9.06037
High June 28, 2023 6/28/23
< 4.10.07061
Medium November 4, 2021 11/4/21
< 4.10.03104
High October 6, 2021 10/6/21
< 4.10.03104
High June 16, 2021 6/16/21
< 4.10.01075
Medium June 16, 2021 6/16/21
< 4.10.01075
High May 6, 2021 5/6/21
< 4.9.06037
High May 6, 2021 5/6/21
< 4.9.06037
High May 6, 2021 5/6/21
< 4.10.00093
High May 6, 2021 5/6/21
< 4.10.00093
High May 6, 2021 5/6/21
< 4.9.06037
High May 6, 2021 5/6/21
< 4.9.03022
Low May 6, 2021 5/6/21
< 4.10.00093
Medium February 24, 2021 2/24/21
== 4.9(5086)
High February 17, 2021 2/17/21
< 4.9.05042
Medium January 13, 2021 1/13/21
< 4.9.03047
< 4.9.03049
High January 13, 2021 1/13/21
< 4.9.04043
High November 6, 2020 11/6/20
== 4.9(3052)
== 98.145(86)
Medium November 6, 2020 11/6/20
< 4.9.03047
High September 23, 2020 9/23/20
< 4.8.00826
Medium August 17, 2020 8/17/20
<= 4.9.00086
Medium August 17, 2020 8/17/20
<= 4.9.00086
High August 17, 2020 8/17/20
< 4.9.00086
Medium February 19, 2020 2/19/20
< 4.8.02042
Medium May 16, 2019 5/16/19
== 4.6(2074)
Low June 21, 2018 6/21/18
== 4.5(58)
== 4.5(1044)
== 4.5(2033)
== 4.5(2036)
== 4.5(3040)
== 4.5(4029)
== 4.5(5030)
== 4.6(362)
== 4.6(1098)
Medium June 7, 2018 6/7/18
== 4.6(100)
Low April 19, 2018 4/19/18
== 4.6(200)
Low January 18, 2018 1/18/18
*
Low October 5, 2017 10/5/17
== 4.5(822)
Low August 17, 2017 8/17/17
== 4.5(58)
== 4.4(4027)
High June 8, 2017 6/8/17
<= 4.4.00243
High February 9, 2017 2/9/17
== 4.0.00051
== 4.1.08005
== 4.1.06013
== 4.3.01095
== 4.2.05015
== 4.3.00748
== 4.2.03013
== 4.1.00028
== 4.2.01035
== 4.1.04011
== 4.0.00057
== 4.3.04027
== 4.2.01022
== 4.3.02039
== 4.1.02011
== 4.0.00048
== 4.0.00052
== 4.2.06014
== 4.0.00061
== 4.1.06020
== 4.2.04039
== 4.2.04018
== 4.2.02075
== 4.2.00096
== 4.3.03086
High December 14, 2016 12/14/16
== 4.0.00051
== 4.3.01095
== 3.1.05182
== 4.2.0
== 3.1.0
== 3.1.02043
== 4.3.00748
== 3.1.07021
== 4.0.0
== 3.1(60)
== 4.0(2049)
== 4.1.0
== 3.1.06073
== 4.1(8)
== 4.0.00048
== 4.0(48)
== 4.0(64)
== 4.2.04039
== 3.1.05187
== 4.3.0
High August 25, 2016 8/25/16
== 4.0.00051
== 2.5_base
== 2.5.3046
== 2.5.3041
== 2.5.2017
== 4.3.01095
== 3.1.05182
== 3.0.09231
== 2.2.0136
== 3.0.5080
== 4.2.0
== 3.0.5075
== 2.0.0343
== 3.1.0
== 3.0.3050
== 3.1.02043
== 2.2.0140
== 2.3.0254
== 4.3.00748
== 3.0.0629
== 2.5.0217
== 2.5.3051
== 3.1.07021
== 4.0.0
== 2.1.0148
== 2.3.2016
== 3.1(60)
== 2.5.2011
== 2.4.1012
== 2.5.2010
== 3.0.09266
== 4.0(2049)
== 3.0.1047
== 4.1.0
== 3.0.09353
== 3.1.06073
== 2.3.0185
== 2.3.1003
== 4.1(8)
== 4.0.00048
== 3.0.0
== 4.0(48)
== 2.5.2014
== 3.0.3054
== 2.5.3054
== 3.0.2052
== 3.0.4235
== 2.5.2006
== 4.0(64)
== 2.4.0202
== 2.2.0133
== 2.5.3055
== 4.2.04039
== 3.1.05187
== 2.5.2018
== 4.3.0
== 2.5.2019
Medium October 12, 2015 10/12/15
== 4.0.00051
== 2.5_base
== 2.5.3046
== 2.5.3041
== 2.5.2017
== 3.1.05182
== 3.0.09231
== 2.2.0136
== 3.0.5080
== 3.0.5075
== 2.0.0343
== 3.1.0
== 3.0.3050
== 3.1.02043
== 2.2.0140
== 2.3.0254
== 3.0.0629
== 2.5.0217
== 2.5.3051
== 3.1.07021
== 4.0.0
== 2.1.0148
== 2.3.2016
== 3.1(60)
== 2.5.2011
== 2.4.1012
== 2.5.2010
== 3.0.09266
== 4.0(2049)
== 3.0.1047
== 4.1.0
== 3.0.09353
== 3.1.06073
== 2.3.0185
== 2.3.1003
== 4.1(8)
== 4.0.00048
== 3.0.0
== 4.0(48)
== 2.5.2014
== 3.0.3054
== 2.5.3054
== 3.0.2052
== 3.0.4235
== 2.5.2006
== 4.0(64)
== 2.4.0202
== 2.2.0133
== 2.5.3055
== 3.1.05187
== 2.5.2018
== 2.5.2019
High September 26, 2015 9/26/15
== 4.1.(8)
High September 26, 2015 9/26/15
== 2.0.0343
== 2.1.0.148
== 2.2.0133
== 2.2.0136
== 2.2.0140
== 2.3.0185
== 2.3.0254
== 2.3.1003
== 2.3.2016
== 2.4.0202
== 2.4.1012
== 2.5.0217
== 2.5.2006
== 2.5.2010
== 2.5.2011
== 2.5.2014
== 2.5.2017
== 2.5.2018
== 2.5.2019
== 2.5.3041
== 2.5.3046
== 2.5.3051
== 2.5.3054
== 2.5.3055
== 2.5_base
== 3.0.0
== 3.0.0629
== 3.0.1047
== 3.0.2052
== 3.0.3050
== 3.0.3054
== 3.0.4235
== 3.0.5075
== 3.0.5080
== 3.0.09231
== 3.0.09266
== 3.0.09353
== 3.1(60)
== 3.1.0
== 3.1.02043
== 3.1.05182
== 3.1.05187
== 3.1.06073
== 3.1.07021
== 4.0(48)
== 4.0(64)
== 4.0(2049)
== 4.0.0
== 4.0.00048
== 4.0.00051
== 4.1.0
Medium August 1, 2015 8/1/15
== 4.0(2049)
Low July 29, 2015 7/29/15
== 4.0(2049)
High June 24, 2015 6/24/15
== 3.1(60)
High June 4, 2015 6/4/15
<= 3.1\(.07021\)
== 4.0(.00048)
== 4.0(.00051)
Medium May 29, 2015 5/29/15
== 4.0(64)
Low March 18, 2015 3/18/15
<= 4.0\(.00051\)
Medium March 17, 2015 3/17/15
<= 4.0\(.00051\)
Medium March 17, 2015 3/17/15
<= 4.0\(.00051\)
High March 17, 2015 3/17/15
<= 4.0\(.00051\)

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.