Vulnerability Database

346,508

Total vulnerabilities in the database

Vulnerabilities for products matching "github.com-mattermost-mattermost-server-v8"

Found 1 matching product.

You can search for specific versions with /product/github.com-mattermost-mattermost-server-v8/1.2.3

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github.com/mattermost/mattermost/server/v8

449 vulnerabilities found
Title Severity Exploit Date Affected Version
Medium April 17, 2026 4/17/26
>= 8.0.0-20250721062209-4952acea88ce < 8.0.0-20260220133927-c29cf05d40f8
== 11.5.0-rc1
>= 11.5.0-rc1 < 11.5.0
>= 11.4.0-rc1 < 11.4.3
>= 11.3.0-rc1 < 11.3.3
Medium April 17, 2026 4/17/26
>= 8.0.0-20250721062209-4952acea88ce < 8.0.0-20250723052842-4cb8d8940332
High March 26, 2026 3/26/26
>= 11.4.0-rc1 < 11.4.1
>= 11.3.0-rc1 < 11.3.2
>= 11.2.0-rc1 < 11.2.3
>= 10.11.0-rc1 < 10.11.11
>= 8.0.0-20260105080200-d27a2195068d < 8.0.0-20260217110922-b7d4a1f1f59b
Medium March 26, 2026 3/26/26
>= 11.4.0-rc1 < 11.4.1
>= 11.3.0-rc1 < 11.3.2
>= 11.2.0-rc1 < 11.2.4
>= 10.11.0-rc1 < 10.11.12
>= 8.0.0-20260105080200-d27a2195068d < 8.0.0-20260217110922-b7d4a1f1f59b
Medium March 26, 2026 3/26/26
== 11.4.0
>= 11.4.0 < 11.4.1
>= 11.3.0 < 11.3.2
>= 11.2.0 < 11.2.4
>= 10.11.0 < 10.11.12
>= 8.0.0-20260105080200-d27a2195068d < 8.0.0-20260217110922-b7d4a1f1f59b
Medium March 26, 2026 3/26/26
== 11.4.0
>= 11.4.0 < 11.4.1
>= 11.3.0-rc1 < 11.3.2
>= 11.2.0-rc1 < 11.2.3
>= 10.11.0-rc1 < 10.11.11
>= 8.0.0-20260105080200-d27a2195068d < 8.0.0-20260217110922-b7d4a1f1f59b
Medium March 26, 2026 3/26/26
>= 11.4.0-rc1 < 11.4.1
>= 11.3.0-rc1 < 11.3.2
>= 11.2.0-rc1 < 11.2.3
>= 10.11.0-rc1 < 10.11.11
>= 8.0.0-20260105080200-d27a2195068d < 8.0.0-20260217110922-b7d4a1f1f59b
Medium March 25, 2026 3/25/26
>= 8.0.0-20260105080200-d27a2195068d < 8.0.0-20260217110922-b7d4a1f1f59b
Medium March 25, 2026 3/25/26
>= 11.4.0-rc1 < 11.4.1
>= 11.3.0-rc1 < 11.3.2
>= 11.2.0-rc1 < 11.2.3
>= 10.11.0-rc1 < 10.11.11
>= 8.0.0-20260105080200-d27a2195068d < 10.11.11
Medium March 25, 2026 3/25/26
>= 11.4.0-rc1 < 11.4.1
>= 11.3.0-rc1 < 11.3.2
>= 11.2.0-rc1 < 11.2.4
>= 8.0.0-20260105080200-d27a2195068d < 8.0.0-20260217110922-b7d4a1f1f59b
>= 10.11.0-rc1 < 10.11.2
Low March 16, 2026 3/16/26
< 8.0.0-20260127144908-ced9a56e3988
Medium March 16, 2026 3/16/26
< 8.0.0-20260107142155-0481bd1fb045
Medium March 16, 2026 3/16/26
< 8.0.0-20260129133647-5d787969c2d5
Medium March 16, 2026 3/16/26
< 8.0.0-20260107144005-c7f6efdfb035
Medium March 16, 2026 3/16/26
< 8.0.0-20260130144323-5bb5261c72fa
Medium March 16, 2026 3/16/26
< 8.0.0-20260127165411-fe3052073dc6
Medium March 16, 2026 3/16/26
< 8.0.0-20260113182106-a18b80ba4c32
Medium March 16, 2026 3/16/26
< 8.0.0-20260105134819-cc427af41b2a
Medium March 16, 2026 3/16/26
< 8.0.0-20260127062706-c6b205f0d770
High March 16, 2026 3/16/26
< 8.0.0-20260129164748-7201f42d955f
Medium March 16, 2026 3/16/26
< 8.0.0-20260123215601-86797c508c44
Medium March 16, 2026 3/16/26
< 8.0.0-20260129181235-1346cf529aef
Medium March 16, 2026 3/16/26
< 8.0.0-20260115183946-38b413a27604
Medium March 16, 2026 3/16/26
< 8.0.0-20260123211116-9efe617be8b8
Medium February 16, 2026 2/16/26
< 8.0.0-20251209134645-761e56bb11cc
Low February 16, 2026 2/16/26
< 8.0.0-20251215190648-6404ab29acc0
Medium February 16, 2026 2/16/26
< 8.0.0-20251210191531-cd17b61de41b
Medium February 16, 2026 2/16/26
< 8.0.0-20251212052346-61651b0df7ea
Low November 27, 2025 11/27/25
< 8.0.0-20251015091448-abbf01b9db45
Critical November 27, 2025 11/27/25
< 8.0.0-20251028000919-d3ed703dc833
High October 16, 2025 10/16/25
< 8.0.0-20250815100400-2d5cdc6e217e
High October 16, 2025 10/16/25
< 8.0.0-20250807174701-e14175eb6539
Low October 16, 2025 10/16/25
< 8.0.0-20250728063359-38208b8f065f
Medium October 16, 2025 10/16/25
< 8.0.0-20250822083415-01b95392a450
Low October 16, 2025 10/16/25
< 8.0.0-20250820115038-ff30b84049f0
Low October 16, 2025 10/16/25
< 8.0.0-20250822090405-e8c7e7d0252b
High September 19, 2025 9/19/25
< 8.0.0-20250707221302-a8fa77f107ef
Low September 19, 2025 9/19/25
< 8.0.0-20250721095935-11c36f4d1e44
High September 15, 2025 9/15/25
< 8.0.0-20250731063404-9eebaadf8f72
Low September 15, 2025 9/15/25
< 8.0.0-202508080704-39bd251fe4f600
Medium September 15, 2025 9/15/25
< 8.0.0-20250729073403-517ae758cd02
Low September 15, 2025 9/15/25
< 8.0.0-20250718075842-cd87e5c87737
Low August 21, 2025 8/21/25
< 8.0.0-20250708173752-d6b35c41f0ae5
Low August 21, 2025 8/21/25
< 8.0.0-20250708173752-d6b35c41f0ae5
Low August 21, 2025 8/21/25
< 8.0.0-20250721095846-c602a4a78e1f
Low August 21, 2025 8/21/25
< 8.0.0-20250721095846-c602a4a78e1f
Medium August 21, 2025 8/21/25
< 8.0.0-20250708173752-d6b35c41f0ae5
Low August 21, 2025 8/21/25
< 8.0.0-20250708065844-b38e2eccda18
Medium August 21, 2025 8/21/25
< 8.0.0-20250708065844-b38e2eccda18
Low August 21, 2025 8/21/25
< 8.0.0-20250814075248-83a37a861d3c

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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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