Found 9 matching products. Filters apply to all results.
You can search for specific versions with /product/agent/1.2.3
| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
|
High | July 27, 2022 7/27/22 |
< 5.7.7
|
|
|
|
Medium | April 14, 2022 4/14/22 |
< 5.7.6
|
|
|
|
High | April 14, 2022 4/14/22 |
< 5.7.6
|
|
|
|
High | April 14, 2022 4/14/22 |
< 5.7.6
|
|
|
|
High | January 19, 2022 1/19/22 |
< 5.7.5
|
|
|
|
High | January 19, 2022 1/19/22 |
< 5.7.5
|
|
|
|
High | September 22, 2021 9/22/21 |
< 5.7.4
|
|
|
|
Low | June 10, 2021 6/10/21 |
>= 5.0.0 < 5.7.3
|
|
|
|
High | January 20, 2021 1/20/21 |
< 5.7.6
|
|
|
|
Medium | January 18, 2021 1/18/21 |
< 5.7.1
|
|
|
|
Medium | June 10, 2020 6/10/20 |
>= 5.0.0 < 5.0.6
>= 5.5.0 < 5.5.4
>= 5.6.0 < 5.6.4
|
|
|
|
Medium | March 12, 2020 3/12/20 |
>= 5.5.0 < 5.5.4
>= 5.6.0 < 5.6.4
|
|
|
|
Low | July 18, 2019 7/18/19 |
>= 5.0.0 <= 5.6.1
|
|
|
|
Medium | February 28, 2019 2/28/19 |
>= 5.0.0 <= 5.0.6
== 5.6.0
>= 5.5.0 <= 5.5.2
|
|
|
|
High | February 28, 2019 2/28/19 |
>= 5.0.0 <= 5.0.6
== 5.6.0
>= 5.5.0 <= 5.5.2
|
|
|
|
Medium | February 27, 2019 2/27/19 |
>= 5.6.0 <= 5.6.4
|
|
|
|
Low | December 14, 2018 12/14/18 |
== 5.5.1
== 5.5.0
>= 5.0.0 <= 5.0.6
|
|
|
|
High | December 12, 2018 12/12/18 |
== 5.5.1
== 5.5.0
>= 5.0.0 <= 5.0.6
|
|
|
|
High | December 12, 2018 12/12/18 |
== 5.5.1
== 5.5.0
>= 5.0.0 <= 5.0.6
|
|
|
|
High | December 12, 2018 12/12/18 |
== 5.5.1
== 5.5.0
>= 5.0.0 <= 5.0.6
|
|
|
|
Critical | December 11, 2018 12/11/18 |
>= 5.0.0 < 5.6.0
|
|
|
|
Low | March 14, 2017 3/14/17 |
<= 4.8.0
|
|
|
|
Low | April 8, 2016 4/8/16 |
<= 5.0.2.285
|
|
|
|
Medium | October 5, 2013 10/5/13 |
>= 4.5.0 < 4.5.0.1927
>= 4.6.0 < 4.6.0.3258
|
|
|
|
Medium | March 17, 2008 3/17/08 |
== 4.0
|
| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
|
Medium | October 30, 2018 10/30/18 |
< 7.0.1.0
|
| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
|
Unknown | March 6, 2026 3/6/26 |
< c25.10
|
|
|
|
Unknown | March 6, 2026 3/6/26 |
< c23.12
|
|
|
|
Low | March 6, 2026 3/6/26 |
< c25.07
|
|
|
|
Unknown | March 6, 2026 3/6/26 |
< c25.10
|
|
|
|
High | March 6, 2026 3/6/26 |
< c25.10
|
|
|
|
Unknown | March 6, 2026 3/6/26 |
< c25.10
|
|
|
|
High | December 14, 2023 12/14/23 |
< c23.12
|
|
|
|
High | October 9, 2023 10/9/23 |
< c23.10
|
|
|
|
High | October 9, 2023 10/9/23 |
< c23.10
|
|
|
|
High | October 6, 2023 10/6/23 |
< c23.09
|
|
|
|
Medium | October 6, 2023 10/6/23 |
< c23.08
|
|
|
|
High | October 6, 2023 10/6/23 |
< c23.07
|
|
|
|
Medium | October 5, 2023 10/5/23 |
< c23.06
|
|
|
|
Medium | October 5, 2023 10/5/23 |
< c23.06
|
|
|
|
Medium | October 5, 2023 10/5/23 |
< c23.06
|
|
|
|
Medium | October 5, 2023 10/5/23 |
< c23.06
|
|
|
|
Medium | October 5, 2023 10/5/23 |
< c23.06
|
|
|
|
Medium | October 5, 2023 10/5/23 |
< c23.06
|
|
|
|
High | October 5, 2023 10/5/23 |
< c23.01
|
|
|
|
High | October 5, 2023 10/5/23 |
< c23.02
|
|
|
|
Medium | October 4, 2023 10/4/23 |
== c22.03
|
|
|
|
High | October 4, 2023 10/4/23 |
== c22.02
|
|
|
|
Medium | August 31, 2023 8/31/23 |
< c23.05
|
|
|
|
Medium | August 31, 2023 8/31/23 |
< c23.03
|
|
|
|
Medium | August 31, 2023 8/31/23 |
< c23.03
|
|
|
|
High | August 31, 2023 8/31/23 |
< c23.03
|
|
|
|
Medium | August 31, 2023 8/31/23 |
<= c22.11
|
|
|
|
High | August 31, 2023 8/31/23 |
< c22.10
|
|
|
|
High | August 31, 2023 8/31/23 |
< c23.02
|
|
|
|
High | August 31, 2023 8/31/23 |
< c22.10
|
|
|
|
High | August 31, 2023 8/31/23 |
< c22.09
|
|
|
|
High | May 18, 2023 5/18/23 |
< c22.07
|
|
|
|
High | May 18, 2023 5/18/23 |
< c22.05
|
|
|
|
High | May 18, 2023 5/18/23 |
< c22.05
|
|
|
|
High | May 18, 2023 5/18/23 |
< c21.09
|
|
|
|
High | May 18, 2023 5/18/23 |
< c21.12
|
|
|
|
High | April 26, 2023 4/26/23 |
< c22.08
|
|
|
|
High | February 13, 2023 2/13/23 |
< c22.08
|
|
|
|
High | February 13, 2023 2/13/23 |
< c22.07
|
|
|
|
High | May 18, 2022 5/18/22 |
< c21.10
|
|
|
|
High | February 4, 2022 2/4/22 |
< c21.06
|
|
|
|
High | February 4, 2022 2/4/22 |
< c21.06
|
|
|
|
High | November 29, 2021 11/29/21 |
<= c21.06
|
|
|
|
High | July 30, 2021 7/30/21 |
>= 12.5.21540 <= 12.5.23094
|
| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
|
High | September 25, 2024 9/25/24 |
< 0.43.2
|
|
|
|
Medium | December 8, 2021 12/8/21 |
>= 0.21.0 < 0.21.2
>= 0.14.0 < 0.20.1
|
| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
|
High | January 9, 2024 1/9/24 |
< 5.8.1
|
|
|
|
Medium | June 7, 2023 6/7/23 |
< 5.7.9
|
|
|
|
Medium | June 7, 2023 6/7/23 |
< 5.7.9
|
|
|
|
High | April 3, 2023 4/3/23 |
<= 5.7.8
|
|
|
|
Medium | April 3, 2023 4/3/23 |
<= 5.7.8
|
|
|
|
Medium | November 30, 2022 11/30/22 |
< 5.7.8
|
| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
|
Low | June 19, 2025 6/19/25 |
< 0.3.1
|
| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
|
Unknown | June 6, 2025 6/6/25 |
< 5.218.620.1
|
Showing vulnerabilities for 9 products matching "agent". Each product has independent pagination.
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.