Vulnerability Database

328,409

Total vulnerabilities in the database

Vulnerabilities for products matching "github.com-mattermost-mattermost--server"

Found 1 matching product.

You can search for specific versions with /product/github.com-mattermost-mattermost--server/1.2.3

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github.com/mattermost/mattermost-server

57 vulnerabilities found
Title Severity Exploit Date Affected Version
Medium February 16, 2026 2/16/26
>= 11.1.0
>= 10.11.0
>= 11.2.0
< 5.3.2-0.20251209134645-761e56bb11cc
Low February 16, 2026 2/16/26
>= 11.1.0
>= 10.11.0
>= 11.2.0
< 5.3.2-0.20251215190648-6404ab29acc0
Medium February 16, 2026 2/16/26
>= 11.1.0
>= 10.11.0
>= 11.2.0
< 5.3.2-0.20251210191531-cd17b61de41b
Medium February 16, 2026 2/16/26
>= 11.1.0
>= 10.11.0
>= 11.2.0
< 5.3.2-0.20251212052346-61651b0df7ea
Low February 13, 2026 2/13/26
>= 10.11.0 < 10.11.10
Medium February 13, 2026 2/13/26
>= 11.2.0 < 11.2.2
>= 11.1.0 < 11.1.3
>= 10.11.0 < 10.11.10
Medium January 16, 2026 1/16/26
>= 10.11.0 < 10.11.9
>= 11.1.0 < 11.1.2
>= 11.0.0 < 11.0.7
Low January 16, 2026 1/16/26
>= 10.11.0 < 10.11.9
>= 11.0.0 < 11.2.0
Low November 27, 2025 11/27/25
>= 11.0.0 < 11.0.3
>= 10.12.0 < 10.12.2
>= 10.11.0 < 10.11.5
>= 10.5.0 < 10.5.13
Critical November 27, 2025 11/27/25
>= 10.12.0 < 10.12.2
>= 10.11.0 < 10.11.5
>= 10.5.0 < 10.5.13
>= 11.0.0 < 11.0.4
High October 16, 2025 10/16/25
>= 10.11.0 < 10.11.2
>= 10.10.0 < 10.10.3
>= 10.5.0 < 10.5.11
High October 16, 2025 10/16/25
>= 10.11.0 < 10.11.2
>= 10.10.0 < 10.10.3
>= 10.5.0 < 10.5.11
Low October 16, 2025 10/16/25
>= 10.5.0 < 10.5.11
>= 10.11.0 < 10.11.3
Medium October 16, 2025 10/16/25
>= 10.10.0 < 10.10.3
>= 10.5.0 < 10.5.11
>= 10.11.0 < 10.11.3
Low October 16, 2025 10/16/25
>= 10.5.0 < 10.5.11
>= 10.11.0 < 10.11.3
Low October 16, 2025 10/16/25
>= 10.5.0 < 10.5.11
>= 10.11.0 < 10.11.3
High September 19, 2025 9/19/25
>= 10.8.0 < 10.8.4
>= 10.5.0 < 10.5.9
>= 9.11.0 < 9.11.18
>= 10.10.0 < 10.10.2
>= 10.9.0 < 10.9.4
Low September 19, 2025 9/19/25
>= 10.5.0-rc1 < 10.5.9
>= 9.11.0-rc1 < 9.11.18
High September 15, 2025 9/15/25
>= 10.10.0 < 10.10.2
>= 10.5.0 < 10.5.10
>= 10.9.0 < 10.9.5
Low September 15, 2025 9/15/25
>= 10.5.0 < 10.5.10
Medium September 15, 2025 9/15/25
>= 10.10.0 < 10.10.2
Low September 15, 2025 9/15/25
>= 10.8.0 < 10.8.4
>= 10.5.0 < 10.5.9
>= 9.11.0 < 9.11.18
>= 10.10.0 < 10.10.2
>= 10.9.0 < 10.9.4
Low August 21, 2025 8/21/25
>= 10.8.0 < 10.8.4
>= 10.5.0 < 10.5.9
>= 10.9.0 < 10.9.4
== 10.10.0
>= 10.10.0 < 10.10.1
>= 9.11.0 < 9.11.18
Low August 21, 2025 8/21/25
>= 10.8.0 < 10.8.4
>= 10.5.0 < 10.5.9
>= 10.9.0 < 10.9.4
== 10.10.0
>= 10.10.0 < 10.10.1
Low August 21, 2025 8/21/25
>= 10.5.0 < 10.5.9
>= 9.11.0 < 9.11.18
Low August 21, 2025 8/21/25
>= 10.5.0 < 10.5.9
Medium August 21, 2025 8/21/25
>= 10.8.0 < 10.8.4
>= 10.5.0 < 10.5.9
>= 9.11.0 < 9.11.18
>= 10.9.0 < 10.9.3
== 10.10.0
>= 10.10.0 < 10.10.1
Low August 21, 2025 8/21/25
>= 10.8.0 < 10.8.4
>= 10.5.0 < 10.5.9
>= 9.11.0 < 9.11.18
>= 10.9.0 < 10.9.3
Medium August 21, 2025 8/21/25
>= 10.8.0 < 10.8.4
>= 10.5.0 < 10.5.9
>= 9.11.0 < 9.11.18
>= 10.9.0 < 10.9.3
Low August 21, 2025 8/21/25
>= 10.5.0 < 10.5.10
Medium August 21, 2025 8/21/25
>= 10.9.0 < 10.9.2
>= 10.8.0 < 10.8.4
>= 10.5.0 < 10.5.9
>= 9.11.0 < 9.11.18
Low July 18, 2025 7/18/25
>= 10.5.0 < 10.5.8
>= 9.11.0 < 9.11.17
Medium July 18, 2025 7/18/25
>= 10.8.0 < 10.8.2
>= 10.7.0 < 10.7.4
>= 10.5.0 < 10.5.8
>= 9.11.0 < 9.11.17
Medium July 18, 2025 7/18/25
>= 10.5.0 < 10.5.7
>= 10.8.0 < 10.8.2
>= 10.7.0 < 10.7.4
>= 9.11.0 < 9.11.17
Medium June 30, 2025 6/30/25
< 0.0.0-20250513065225-4ae5d647fb88
Low June 30, 2025 6/30/25
< 0.0.0-20250513065225-4ae5d647fb88
Low June 20, 2025 6/20/25
< 0.0.0-20250520060012-d0380305ef7a
Low June 20, 2025 6/20/25
< 0.0.0-20250520060012-d0380305ef7a
Critical June 20, 2025 6/20/25
< 0.0.0-20250519205859-65aec10162f6
Low June 11, 2025 6/11/25
>= 10.7.0 < 10.7.2
>= 10.6.0 < 10.6.4
>= 10.5.0 < 10.5.5
>= 9.11.0 < 9.11.14
Low June 11, 2025 6/11/25
>= 10.5.0 < 10.5.5
>= 9.11.0 < 9.11.14
Low April 14, 2025 4/14/25
>= 10.5.0 < 10.5.2
>= 10.4.0 < 10.4.4
>= 9.11.0 < 9.11.10
Medium March 21, 2025 3/21/25
< 9.11.9
Low March 19, 2025 3/19/25
>= 9.11.0 < 9.11.9
Low April 26, 2024 4/26/24
>= 9.6.0-rc1 < 9.6.1
>= 9.5.0 < 9.5.3
>= 8.1.0 < 8.1.12
Low April 26, 2024 4/26/24
>= 9.5.0 < 9.5.3
>= 8.1.0 < 8.1.12
Low April 26, 2024 4/26/24
>= 8.1.0 < 8.1.12
>= 9.4.0 < 9.4.5
>= 9.5.0 < 9.5.3
>= 9.6.0-rc1 < 9.6.1
Low April 26, 2024 4/26/24
>= 8.1.0 < 8.1.12
>= 9.5.0 < 9.5.3
>= 9.6.0-rc1 < 9.6.1
>= 9.4.0 < 9.4.5
Low April 26, 2024 4/26/24
>= 9.6.0-rc1 < 9.6.1
>= 9.5.0 < 9.5.3
>= 9.4.0 < 9.4.5
>= 8.1.0 < 8.1.12
Low April 26, 2024 4/26/24
>= 8.1.0 < 8.1.12
>= 9.5.0 < 9.5.3
>= 9.6.0-rc1 < 9.6.1

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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.

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