Found 1 matching product.
You can search for specific versions with /product/anyconnect_secure_mobility_client/1.2.3
| 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\(.00051\)
|
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.