Vulnerability Database

325,773

Total vulnerabilities in the database

Vulnerabilities for products matching "spip"

Found 1 matching product.

You can search for specific versions with /product/spip/1.2.3

spip / spip

68 vulnerabilities found
Title Severity Exploit Date Affected Version
High February 26, 2026 2/26/26
< 4.4.10
High February 26, 2026 2/26/26
< 4.4.10
Low February 19, 2026 2/19/26
>= 4.4.0 < 4.4.9
Medium February 19, 2026 2/19/26
>= 4.4.0 < 4.4.9
Medium February 19, 2026 2/19/26
>= 4.4.0 < 4.4.9
High February 19, 2026 2/19/26
>= 4.4.0 < 4.4.9
Medium February 19, 2026 2/19/26
>= 4.4.0 < 4.4.8
Medium February 19, 2026 2/19/26
>= 4.4.0 < 4.4.8
Medium February 19, 2026 2/19/26
>= 4.1.0 < 4.1.20
>= 4.2.0 < 4.2.17
>= 4.3.0 < 4.3.6
Medium February 19, 2026 2/19/26
>= 4.3.0 < 4.3.9
>= 4.4.0 < 4.4.5
Medium February 19, 2026 2/19/26
>= 4.2.0 < 4.2.15
Medium February 19, 2026 2/19/26
>= 4.1.0 < 4.1.20
>= 4.2.0 < 4.2.17
>= 4.3.0 < 4.3.6
High December 16, 2025 12/16/25
== 4.1.10
Low November 26, 2024 11/26/24
== 4.3.3
Medium November 26, 2024 11/26/24
== 4.3.3
Critical September 6, 2024 9/6/24
== 4.3.0
== 4.3.1
>= 4.2.0 <= 4.2.15
>= 4.0.0 < 4.1.18
Medium January 19, 2024 1/19/24
>= 4.2.0 < 4.2.8
< 4.1.14
Medium January 4, 2024 1/4/24
>= 4.2.0 < 4.2.7
< 4.1.13
Critical February 28, 2023 2/28/23
== 4.2.0-alpha2
== 4.2.0-alpha
== 4.2.0
>= 4.1.0 < 4.1.8
>= 4.0.0 < 4.0.10
< 3.2.18
Critical February 27, 2023 2/27/23
<= 4.1.5
High December 14, 2022 12/14/22
>= 3.1.13 <= 4.1.2
Medium May 19, 2022 5/19/22
<= 3.1.13
High May 19, 2022 5/19/22
< 3.2.8
High May 19, 2022 5/19/22
<= 3.1.13
Medium March 10, 2022 3/10/22
>= 4.0.0 < 4.0.5
< 3.2.14
High March 10, 2022 3/10/22
>= 4.0.0 < 4.0.5
< 3.2.14
Medium January 26, 2022 1/26/22
== 4.0.0
Medium January 26, 2022 1/26/22
== 4.0.0
High January 26, 2022 1/26/22
== 4.0.0
High January 26, 2022 1/26/22
== 4.0.0
Critical November 23, 2020 11/23/20
< 3.2.8
Medium December 17, 2019 12/17/19
>= 3.2.0 < 3.2.7
Medium September 17, 2019 9/17/19
>= 3.2.0 < 3.2.5
< 3.1.11
Medium September 17, 2019 9/17/19
>= 3.2.0 < 3.2.5
< 3.1.11
Medium September 17, 2019 9/17/19
>= 3.2.0 < 3.2.5
< 3.1.11
Medium September 17, 2019 9/17/19
>= 3.2.0 < 3.2.5
< 3.1.11
Medium April 10, 2019 4/10/19
>= 3.2.0 < 3.2.4
>= 3.1.0 < 3.1.10
Low October 22, 2017 10/22/17
<= 3.1.6
High June 17, 2017 6/17/17
== 3.1.0-alpha
== 3.2.0-beta
== 3.1.0-rc3
== 3.1.5
== 3.1.4
== 3.1.0-rc
== 3.2-alpha-1
== 3.1.0
== 3.1.3
== 3.1.1
== 3.2.0-beta2
== 3.1.0-rc2
== 3.1.2
== 3.1.0-beta
Medium January 18, 2017 1/18/17
<= 3.1.2
Low January 18, 2017 1/18/17
<= 3.1.2
Medium January 18, 2017 1/18/17
<= 3.1.2
Low January 18, 2017 1/18/17
<= 3.1.2
Medium January 18, 2017 1/18/17
<= 3.1.2
Low December 17, 2016 12/17/16
== 3.1.0-alpha
== 3.1.0-rc3
== 3.1.0-rc
== 3.1.0
== 3.1.3
== 3.1.1
== 3.1.0-rc2
== 3.1.2
== 3.1.0-beta
Low December 17, 2016 12/17/16
== 3.1.0-alpha
== 3.1.0-rc3
== 3.1.0-rc
== 3.1.0
== 3.1.3
== 3.1.1
== 3.1.0-rc2
== 3.1.2
== 3.1.0-beta
Low December 5, 2016 12/5/16
== 3.1.3
High April 8, 2016 4/8/16
== 2.1.15
== 3.0.3
== 2.1.8
== 2.0.0
== 2.0.3
== 2.0.6
== 2.0.10
== 3.0.8
== 3.0.19
== 2.1.17
== 2.0.19
== 2.1.4
== 3.0.4
== 3.0.7
== 2.1.19
== 2.0.12
== 2.1.2
== 2.0.16
== 2.1.18
== 2.1.5
== 2.1.13
== 2.1.16
== 3.0.5
== 2.1.10
== 2.0.7
== 3.0.13
== 2.1.7
== 3.0.10
== 2.0.8
== 3.1.0
== 2.0.21
== 2.0.11
== 2.0.18
== 2.0.2
== 2.0.5
== 3.0.9
== 2.1.14
== 2.1.12
== 3.0.14
== 2.0.13
== 3.0.16
== 2.0.22
== 2.0.1
== 2.1.1
== 2.0.14
== 2.0.20
== 2.0.17
== 3.0.2
== 3.0.17
== 2.0.15
== 2.1.9
== 2.0.9
== 2.1.3
== 3.0.0
== 2.1.6
== 3.0.6
== 3.0.11
== 2.0.4
== 3.0.20
== 3.0.1
== 2.1.11
== 3.0.15
High April 8, 2016 4/8/16
== 2.1.15
== 3.0.3
== 2.1.8
== 2.0.0
== 2.0.3
== 2.0.6
== 2.0.10
== 3.0.8
== 3.0.19
== 2.1.17
== 2.0.19
== 2.1.4
== 3.0.4
== 3.0.7
== 2.0.12
== 2.1.2
== 2.0.16
== 2.1.18
== 2.1.5
== 2.1.13
== 2.1.16
== 3.0.5
== 2.1.10
== 2.0.7
== 3.0.13
== 2.1.7
== 3.0.10
== 2.0.8
== 3.1.0
== 2.0.21
== 2.0.11
== 2.0.18
== 2.0.2
== 2.0.5
== 3.0.9
== 2.1.14
== 2.1.12
== 3.0.14
== 2.0.13
== 3.0.16
== 2.0.22
== 2.0.1
== 2.1.1
== 2.0.14
== 2.0.20
== 2.0.17
== 3.0.2
== 3.0.17
== 2.0.15
== 2.1.9
== 2.0.9
== 2.1.3
== 3.0.0
== 2.1.6
== 3.0.6
== 3.0.11
== 2.0.4
== 3.0.20
== 3.0.1
== 2.1.11
== 3.0.15
Low January 30, 2014 1/30/14
== 2.1.15
== 3.0.3
== 2.0.3
== 2.0.6
== 2.0.10
== 3.0.8
== 2.1.17
== 2.0.19
== 3.0.4
== 3.0.7
== 2.1.19
== 2.0.12
== 2.1.2
== 2.0.16
== 2.1.18
== 2.1.13
== 2.1.16
== 3.0.5
== 2.1.22
== 2.1.10
== 2.0.7
== 3.0.10
== 2.1
== 2.1.23
== 2.0.8
== 2.0.21
== 2.0.11
== 2.0.18
<= 2.1.24
== 2.0.2
== 2.0.5
== 3.0.9
== 2.1.14
== 2.1.12
== 2.0.13
== 2.0.22
== 2.1.20
== 2.0.1
== 2.1.21
== 2.1.1
== 2.0.14
== 2.0.20
== 2.0.17
== 3.0.2
== 2.0.15
== 2.0.9
== 3.0.0
== 3.0.6
== 3.0.11
== 2.0.4
== 3.0.1
== 2.1.11

Frequently Asked Questions

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.