Found 4 matching products. Filters apply to all results.
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| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
|
Medium | July 29, 2020 7/29/20 |
== 11
== 12
== 15
|
|
|
|
Medium | July 29, 2020 7/29/20 |
== 11
== 12
== 15
|
|
|
|
Medium | July 29, 2020 7/29/20 |
== 11
== 12
== 15
|
|
|
|
High | March 23, 2020 3/23/20 |
== 12
|
|
|
|
High | March 23, 2020 3/23/20 |
== 12
|
|
|
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Medium | March 23, 2020 3/23/20 |
== 12
|
|
|
|
High | March 23, 2020 3/23/20 |
== 12
|
|
|
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High | March 23, 2020 3/23/20 |
== 12
|
|
|
|
High | March 23, 2020 3/23/20 |
== 12
|
|
|
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High | March 23, 2020 3/23/20 |
== 12
|
|
|
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Low | February 4, 2020 2/4/20 |
== 12
|
|
|
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Low | January 27, 2020 1/27/20 |
== 15
|
|
|
|
High | January 9, 2020 1/9/20 |
== 12
|
|
|
|
Medium | October 7, 2019 10/7/19 |
== 15
== 15-sp1
== 12-sp1
== 12-sp2
== 12-sp3
|
|
|
|
Medium | November 29, 2018 11/29/18 |
== 11-sp4
== 12-sp3
== 12-sp4
|
|
|
|
High | November 28, 2018 11/28/18 |
== 12
== 15
|
|
|
|
High | November 28, 2018 11/28/18 |
== 12
== 15
|
|
|
|
Medium | November 12, 2018 11/12/18 |
== 11-sp4
|
|
|
|
High | November 7, 2018 11/7/18 |
== 11-sp3
== 11-sp4
== 12-sp3
== 12
== 12-sp1
== 12-sp2
== 12-sp4
|
|
|
|
Low | August 10, 2018 8/10/18 |
== 11-sp4
== 11-sp3
|
|
|
|
Low | June 8, 2018 6/8/18 |
== 11-sp1
== 11.0-sp1
|
|
|
|
High | June 8, 2018 6/8/18 |
< 12.0
|
|
|
|
Medium | March 1, 2018 3/1/18 |
== 11-sp3
|
|
|
|
Medium | January 4, 2018 1/4/18 |
== 11-sp4
== 12-sp3
== 12-sp2
|
|
|
|
Medium | August 9, 2017 8/9/17 |
== 11.0-sp3
|
|
|
|
Medium | July 21, 2017 7/21/17 |
== 12
|
|
|
|
Medium | April 12, 2017 4/12/17 |
== 12
|
|
|
|
Medium | April 12, 2017 4/12/17 |
== 12
|
|
|
|
Medium | April 12, 2017 4/12/17 |
== 12
|
|
|
|
High | March 23, 2017 3/23/17 |
== 12
|
|
|
|
High | March 17, 2017 3/17/17 |
== 12
|
|
|
|
Low | January 30, 2017 1/30/17 |
== 12
|
|
|
|
Medium | June 27, 2016 6/27/16 |
== 12
|
|
|
|
Medium | June 6, 2016 6/6/16 |
== 12
|
|
|
|
Medium | May 24, 2016 5/24/16 |
== 12
|
|
|
|
High | May 5, 2016 5/5/16 |
== 12
|
|
|
|
High | April 19, 2016 4/19/16 |
== 12
|
|
|
|
Medium | April 19, 2016 4/19/16 |
== 12
|
|
|
|
High | April 19, 2016 4/19/16 |
== 12
|
|
|
|
High | April 19, 2016 4/19/16 |
== 12
|
|
|
|
Critical | April 8, 2016 4/8/16 |
== 12
|
|
|
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Critical | April 8, 2016 4/8/16 |
== 12
|
|
|
|
Medium | February 18, 2016 2/18/16 |
== 12
|
|
|
|
Low | October 19, 2015 10/19/15 |
== 11-sp3
== 11-sp2
|
|
|
|
High | August 12, 2015 8/12/15 |
== 12
|
|
|
|
High | July 6, 2015 7/6/15 |
== 12
|
|
|
|
High | July 6, 2015 7/6/15 |
== 12
|
|
|
|
High | July 6, 2015 7/6/15 |
== 12
|
|
|
|
Low | May 21, 2015 5/21/15 |
== 12
|
|
|
|
Low | April 28, 2015 4/28/15 |
== 11.0-sp3
== 12
|
| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
|
Medium | February 4, 2020 2/4/20 |
== 12.0
|
|
|
|
Low | January 31, 2020 1/31/20 |
== 11.0-sp4
== 12.0
== 11.0-sp3
|
|
|
|
High | December 31, 2019 12/31/19 |
== 11.0-sp2
|
|
|
|
Medium | September 8, 2017 9/8/17 |
== 12.0-sp1
|
|
|
|
High | June 19, 2017 6/19/17 |
== 11.0-sp3
|
|
|
|
Low | June 6, 2017 6/6/17 |
== 12.0-sp2
== 12.0-sp1
|
|
|
|
High | June 6, 2017 6/6/17 |
== 12.0-sp2
== 12.0-sp1
|
|
|
|
Low | May 3, 2017 5/3/17 |
== 11.0-sp3
|
|
|
|
Low | October 13, 2016 10/13/16 |
== 12.0
== 12.0-sp1
|
|
|
|
Low | September 20, 2016 9/20/16 |
== 12.0-sp1
|
|
|
|
Low | September 20, 2016 9/20/16 |
== 12.0-sp1
|
|
|
|
Low | September 20, 2016 9/20/16 |
== 12.0-sp1
|
|
|
|
Medium | September 20, 2016 9/20/16 |
== 12.0-sp1
|
|
|
|
Low | September 20, 2016 9/20/16 |
== 12.0-sp1
|
|
|
|
Medium | September 20, 2016 9/20/16 |
== 12.0-sp1
|
|
|
|
Medium | September 20, 2016 9/20/16 |
== 12.0-sp1
|
|
|
|
High | July 3, 2016 7/3/16 |
== 12.0
== 12.0-sp1
|
|
|
|
High | June 27, 2016 6/27/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
High | June 13, 2016 6/13/16 |
== 12.0
== 12.0-sp1
|
|
|
|
Medium | June 13, 2016 6/13/16 |
== 12.0
== 12.0-sp1
|
|
|
|
Medium | June 13, 2016 6/13/16 |
== 12.0
== 12.0-sp1
|
|
|
|
Medium | June 3, 2016 6/3/16 |
== 11.0-sp4
== 12.0
== 12.0-sp1
== 11.0-sp2
== 11.0-sp3
|
|
|
|
Medium | June 3, 2016 6/3/16 |
== 11.0-sp4
== 12.0
== 12.0-sp1
== 11.0-sp2
== 11.0-sp3
|
|
|
|
High | May 23, 2016 5/23/16 |
== 11.0-sp4
== 11.0-extra
|
|
|
|
High | May 23, 2016 5/23/16 |
== 11.0-sp4
== 12.0
== 12.0-sp1
|
|
|
|
Low | May 23, 2016 5/23/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
Low | May 23, 2016 5/23/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
Medium | May 23, 2016 5/23/16 |
== 11-sp4
== 11-extra
|
|
|
|
Low | May 23, 2016 5/23/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
Low | May 2, 2016 5/2/16 |
== 12.0
== 12.0-sp1
|
|
|
|
Low | May 2, 2016 5/2/16 |
== 12.0
== 12.0-sp1
|
|
|
|
Low | May 2, 2016 5/2/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
Low | May 2, 2016 5/2/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
Low | May 2, 2016 5/2/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
Low | May 2, 2016 5/2/16 |
== 12.0
== 12.0-sp1
|
|
|
|
Low | May 2, 2016 5/2/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
Low | May 2, 2016 5/2/16 |
== 11-sp4
== 11-extra
|
|
|
|
Low | May 2, 2016 5/2/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
Low | May 2, 2016 5/2/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
Low | April 27, 2016 4/27/16 |
== 12.0
|
|
|
|
Low | April 27, 2016 4/27/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
|
|
|
|
Low | April 27, 2016 4/27/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
|
|
|
|
High | April 27, 2016 4/27/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
Low | April 27, 2016 4/27/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
== 12.0-sp1
|
|
|
|
Low | April 27, 2016 4/27/16 |
== 11.0-sp4
== 12.0
== 11.0-extra
|
|
|
|
Low | April 27, 2016 4/27/16 |
== 12.0
|
|
|
|
Medium | April 27, 2016 4/27/16 |
== 12.0
== 11-sp4
== 11-extra
|
|
|
|
Low | February 8, 2016 2/8/16 |
== 11-sp4
== 11-extra
|
|
|
|
High | July 6, 2015 7/6/15 |
== 12.0
== 11-sp4
|
|
|
|
High | July 6, 2015 7/6/15 |
== 12.0
== 11-sp4
|
| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
|
High | March 20, 2017 3/20/17 |
== 12.0-sp1
== 11.0-sp4
|
|
|
|
High | March 20, 2017 3/20/17 |
== 12.0-sp1
== 12.0-sp2
|
|
|
|
Medium | March 20, 2017 3/20/17 |
== 12.0-sp1
== 11.0-sp4
|
|
|
|
Medium | March 20, 2017 3/20/17 |
== 12.0-sp1
|
|
|
|
Medium | March 20, 2017 3/20/17 |
== 12.0-sp1
== 11.0-sp4
|
|
|
|
High | March 20, 2017 3/20/17 |
== 12.0-sp1
|
|
|
|
Medium | March 20, 2017 3/20/17 |
== 12.0-sp1
== 11.0-sp4
|
|
|
|
High | March 20, 2017 3/20/17 |
== 12.0-sp1
|
|
|
|
Low | March 20, 2017 3/20/17 |
== 12.0-sp1
== 11.0-sp4
|
|
|
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Low | March 20, 2017 3/20/17 |
== 12.0-sp1
== 11.0-sp4
|
|
|
|
High | March 20, 2017 3/20/17 |
== 12.0-sp1
== 11.0-sp4
|
|
|
|
Medium | July 17, 2014 7/17/14 |
== 11.0-sp3
|
| Title | Severity | Exploit | Date | Affected Version |
|---|---|---|---|---|
|
|
Medium | August 9, 2017 8/9/17 |
== 11.0-sp3
|
|
|
|
High | March 13, 2016 3/13/16 |
== 12.0
|
Showing vulnerabilities for 4 products matching "suse_linux_enterprise_server". 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.