Found 1 matching product.
You can search for specific versions with /product/websphere_mq/1.2.3
| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
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High | September 29, 2022 9/29/22 |
== 7.1
|
|
|
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Medium | November 16, 2021 11/16/21 |
== 7.5
|
|
|
|
Critical | January 28, 2021 1/28/21 |
== 7.5.0.1
== 7.5.0.2
== 7.5.0.3
== 7.5.0.5
== 7.5.0.6
== 7.5.0.4
== 7.5.0.7
== 7.5.0.8
== 7.5.0.9
== 7.5.0.0
|
|
|
|
High | June 16, 2020 6/16/20 |
== 7.1
== 7.5
|
|
|
|
Medium | March 16, 2020 3/16/20 |
>= 7.1.0.0 <= 7.5.0.9
|
|
|
|
Medium | March 16, 2020 3/16/20 |
>= 7.1.0.0 <= 7.5.0.9
|
|
|
|
Medium | March 16, 2020 3/16/20 |
>= 7.1.0.0 <= 7.5.0.9
|
|
|
|
Medium | January 23, 2020 1/23/20 |
>= 7.1.0.0 < 7.1.0.2
>= 7.5.0.0 < 7.5.0.1
|
|
|
|
Medium | September 27, 2019 9/27/19 |
>= 9.0.0.0 <= 9.0.0.6
>= 7.1.0.0 <= 7.1.0.9
>= 7.5.0.0 <= 7.5.0.9
>= 8.0.0.0 <= 8.0.0.11
>= 9.1.0.0 <= 9.1.0.2
>= 9.1.1 <= 9.1.2
|
|
|
|
Medium | August 5, 2019 8/5/19 |
>= 7.1.0.0 <= 7.1.0.9
>= 7.5 <= 7.5.0.9
|
|
|
|
Medium | May 23, 2019 5/23/19 |
>= 9.0.0.0 <= 9.0.0.5
>= 9.1.0 <= 9.1.1
>= 9.1.0.0 <= 9.1.0.1
>= 8.0.0.0 <= 8.0.0.11
|
|
|
|
High | May 23, 2019 5/23/19 |
>= 9.0.0.0 <= 9.0.0.5
== 9.1.1
>= 9.1.0.0 <= 9.1.0.1
>= 8.0.0.0 <= 8.0.0.11
|
|
|
|
Low | April 15, 2019 4/15/19 |
>= 9.1.0.0 <= 9.1.0.1
== 9.1.1
|
|
|
|
Medium | March 11, 2019 3/11/19 |
>= 9.0.0.0 <= 9.0.0.5
>= 8.0.0.0 <= 8.0.0.10
>= 9.1.0.0 <= 9.1.1
|
|
|
|
High | March 11, 2019 3/11/19 |
>= 9.0.0.0 <= 9.0.0.5
>= 8.0.0.0 <= 8.0.0.10
>= 9.1.0.0 <= 9.1.0.1
|
|
|
|
High | November 13, 2018 11/13/18 |
== 9.1.0.0
>= 9.0.1 <= 9.0.5
>= 9.0.0.0 <= 9.0.0.5
>= 8.0.0.0 <= 8.0.0.10
|
|
|
|
Low | November 9, 2018 11/9/18 |
== 9.1.0.0
>= 9.0.1 <= 9.0.5
>= 9.0.0.0 <= 9.0.0.5
>= 8.0.0.0 <= 8.0.0.10
|
|
|
|
Medium | August 6, 2018 8/6/18 |
>= 9.0.0.0 <= 9.0.0.3
>= 8.0.0.2 <= 8.0.0.8
|
|
|
|
Low | July 23, 2018 7/23/18 |
>= 9.0.0.0 <= 9.0.0.3
>= 8.0.0.0 <= 8.0.0.9
>= 7.5.0.0 <= 7.5.0.8
|
|
|
|
Low | June 27, 2018 6/27/18 |
== 8.0
== 9.0
|
|
|
|
Low | June 26, 2018 6/26/18 |
== 7.1.0.1
== 7.5.0.1
== 8.0.0.3
== 7.1.0.3
== 9.0.1
== 8.0.0.6
== 9.0.2
== 8.0.0.5
== 7.1
== 7.1.0.4
== 8.0.0.0
== 7.1.0.2
== 7.1.0.5
== 7.5.0.2
== 7.1.0.6
== 7.5.0.3
== 8.0.0.2
== 7.5
== 9.0.0.0
== 7.5.0.4
== 8.0.0.4
== 8.0.0.1
== 9.0.0.1
== 8.0.0.7
== 9.0.3
== 9.0.4
== 7.1.0.7
== 7.1.0.8
== 9.0.0.2
== 8.0.0.8
== 9.0.0
== 7.1.0.9
|
|
|
|
Low | June 15, 2018 6/15/18 |
== 8.0.0.3
== 9.0.1
== 8.0.0.6
== 9.0.2
== 8.0.0.5
== 8.0
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
== 9.0
== 9.0.0.1
== 8.0.0.7
== 9.0.3
== 9.0.4
== 9.0.0.2
== 8.0.0.8
|
|
|
|
Low | April 23, 2018 4/23/18 |
>= 8.0 <= 8.0.0.8
>= 9.0 <= 9.0.4
|
|
|
|
Low | April 17, 2018 4/17/18 |
== 9.0.4
== 9.0.0.2
== 8.0.0.8
|
|
|
|
Low | April 10, 2018 4/10/18 |
>= 8.0 < 8.0.0.3
>= 7.5 < 7.5.0.6
|
|
|
|
Low | March 30, 2018 3/30/18 |
== 9.0.1
== 9.0.2
== 9.0
== 9.0.0.1
== 9.0.3
== 9.0.4
== 9.0.0.2
|
|
|
|
Medium | February 7, 2018 2/7/18 |
== 7.0.1.2
== 7.0.1.3
== 7.0.1.4
== 7.0.1.9
== 7.0.1.5
== 7.0.1.12
== 7.0.1.8
== 7.0.1.6
== 7.0.1.11
== 7.0.1.1
== 7.0.1.10
== 7.0.1.7
== 7.0.1.0
== 7.0.1.13
== 7.0.1.14
|
|
|
|
Low | January 9, 2018 1/9/18 |
== 7.5.0.1
== 7.5.0.2
== 7.5.0.3
== 7.5.0.5
== 7.5.0.6
== 7.5
== 7.5.0.4
== 7.5.0.7
== 7.5.0.8
== 7.0.1.2
== 7.0.1.3
== 7.0.1.4
== 7.0.1.9
== 7.0.1.5
== 7.0.1.12
== 7.0.1.8
== 7.0.1.6
== 7.0.1.11
== 7.0.1.1
== 7.0.1.10
== 7.0.1.7
== 7.0.1.0
== 7.0.1.13
== 7.0.1.14
== 7.1.0.1
== 7.1.0.3
== 7.1.0.4
== 7.1.0.2
== 7.1.0.5
== 7.1.0.6
== 7.1.0.7
== 7.1.0.8
== 7.1.0.0
== 8.0.0.3
== 8.0.0.6
== 8.0.0.5
== 8.0
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
== 8.0.0.7
== 9.0
== 9.0.0.1
== 9.0.2.0
== 9.0.3.0
== 9.0.1.0
|
|
|
|
Low | January 4, 2018 1/4/18 |
== 8.0.0.3
== 9.0.1
== 8.0.0.6
== 9.0.2
== 8.0.0.5
== 8.0
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
== 9.0
== 9.0.0.1
== 9.0.3
|
|
|
|
Low | January 2, 2018 1/2/18 |
== 8.0.0.3
== 9.0.1
== 8.0.0.6
== 9.0.2
== 8.0.0.5
== 8.0
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
== 9.0
== 9.0.0.1
== 8.0.0.7
== 9.0.3
|
|
|
|
Low | December 11, 2017 12/11/17 |
== 7.5.0.1
== 8.0.0.3
== 9.0.1
== 8.0.0.6
== 9.0.2
== 8.0.0.5
== 8.0
== 7.5.0.2
== 7.5.0.3
== 7.5.0.5
== 8.0.0.2
== 7.5.0.6
== 7.5
== 7.5.0.4
== 8.0.0.4
== 8.0.0.1
== 9.0
== 9.0.0.1
== 9.0.3
== 7.5.0.7
== 7.5.0.8
|
|
|
|
Low | December 7, 2017 12/7/17 |
== 8.0.0.3
== 9.0.1
== 8.0.0.6
== 9.0.2
== 8.0.0.5
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
== 9.0
== 9.0.0.1
== 8.0.0.7
== 9.0.3
|
|
|
|
Low | December 7, 2017 12/7/17 |
== 7.5.0.1
== 8.0.0.3
== 8.0.0.6
== 8.0.0.5
== 8.0
== 7.5.0.2
== 7.5.0.3
== 7.5.0.5
== 8.0.0.2
== 7.5.0.6
== 7.5
== 7.5.0.4
== 8.0.0.4
== 8.0.0.1
== 9.0
== 9.0.0.1
== 8.0.0.7
== 7.5.0.7
== 7.5.0.8
|
|
|
|
Low | November 27, 2017 11/27/17 |
== 8.0.0.3
== 9.0.1
== 8.0.0.6
== 9.0.2
== 8.0.0.5
== 8.0
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
== 9.0
== 9.0.0.1
== 8.0.0.7
== 9.0.3
== 9.0.4
|
|
|
|
Low | September 25, 2017 9/25/17 |
== 8.0.0.3
== 8.0.0.6
== 8.0.0.5
== 8.0.0.0
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
|
|
|
|
Low | July 12, 2017 7/12/17 |
== 9.0.1
== 9.0.2
|
|
|
|
Low | July 10, 2017 7/10/17 |
== 9.0.1
== 9.0.2
|
|
|
|
Low | July 10, 2017 7/10/17 |
== 9.0.1
== 9.0.2
|
|
|
|
Low | July 6, 2017 7/6/17 |
== 9.0.2
|
|
|
|
Low | June 21, 2017 6/21/17 |
== 8.0.0.3
== 9.0.1
== 8.0.0.5
== 8.0.0.0
== 8.0
== 8.0.0.2
== 9.0.0.0
== 8.0.0.4
== 8.0.0.1
|
|
|
|
Low | June 7, 2017 6/7/17 |
== 9.0.1
== 9.0.0.0
|
|
|
|
High | March 20, 2017 3/20/17 |
== 8.0.0.6
|
|
|
|
Medium | March 7, 2017 3/7/17 |
== 8.0.0.3
== 8.0.0.5
== 8.0
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
|
|
|
|
Low | February 24, 2017 2/24/17 |
== 8.0.0.3
== 8.0.0.5
== 8.0.0.0
== 8.0
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
|
|
|
|
Low | February 22, 2017 2/22/17 |
<= 8.0.0.5
|
|
|
|
Low | February 22, 2017 2/22/17 |
<= 8.0.0.5
|
|
|
|
Low | February 22, 2017 2/22/17 |
== 8.0.0.3
== 8.0.0.5
== 8.0.0.0
== 8.0
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
|
|
|
|
Low | February 22, 2017 2/22/17 |
== 8.0.0.3
== 8.0.0.5
== 8.0.0.0
== 8.0
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
|
|
|
|
Low | September 26, 2016 9/26/16 |
== 7.5.0.1
== 8.0.0.3
== 8.0
== 7.5.0.2
== 7.5.0.3
== 7.5.0.5
== 8.0.0.2
== 7.5.0.6
== 7.5
== 7.5.0.4
== 8.0.0.4
== 8.0.0.1
|
|
|
|
Medium | June 29, 2016 6/29/16 |
== 8.0.0.3
== 8.0
== 8.0.0.2
== 8.0.0.4
== 8.0.0.1
|
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.