Vulnerability Database

328,409

Total vulnerabilities in the database

Vulnerabilities for products matching "python"

Found 3 matching products. Filters apply to all results.

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

python_software_foundation / python

2 vulnerabilities found
Title Severity Exploit Date Affected Version
High September 18, 2008 9/18/08
== 2.4.5
High March 24, 2007 3/24/07
== 2.5

python / python

130 vulnerabilities found
Title Severity Exploit Date Affected Version
Medium January 21, 2026 1/21/26
< 3.13.10
>= 3.14.0 < 3.14.1
== 3.15.0-alpha1
Medium December 3, 2025 12/3/25
< 3.13.11
>= 3.14.0 < 3.14.2
== 3.15.0-alpha1
== 3.15.0-alpha2
High December 1, 2025 12/1/25
< 3.13.11
== 3.14.0
== 3.15.0-alpha1
== 3.15.0-alpha2
Medium December 1, 2025 12/1/25
< 3.13.10
>= 3.14.0 < 3.14.1
== 3.15.0-alpha1
== 3.15.0-alpha2
Medium October 31, 2025 10/31/25
< 3.9.0
>= 3.13.1 < 3.13.11
>= 3.14.0 < 3.14.1
== 3.15.0-alpha1
High October 22, 2024 10/22/24
== 3.14.0-alpha1
>= 3.13.0 < 3.13.1
>= 3.12.0 < 3.12.8
>= 3.11.0 < 3.11.11
>= 3.10.0 < 3.10.16
< 3.9.21
High September 3, 2024 9/3/24
== 3.13.0-alpha0
== 3.13.0-alpha1
== 3.13.0-alpha2
== 3.13.0-alpha3
== 3.13.0-alpha4
== 3.13.0-alpha5
== 3.13.0-alpha6
== 3.13.0-beta1
== 3.13.0-beta2
== 3.13.0-beta3
== 3.13.0-beta4
== 3.13.0-rc1
>= 3.12.0 < 3.12.6
< 3.8.20
>= 3.9.0 < 3.9.20
>= 3.10.0 < 3.10.15
>= 3.11.0 < 3.11.10
High August 19, 2024 8/19/24
== 3.13.0-alpha0
== 3.13.0-alpha1
== 3.13.0-alpha2
== 3.13.0-alpha3
== 3.13.0-alpha4
== 3.13.0-alpha5
== 3.13.0-alpha6
== 3.13.0-beta1
== 3.13.0-beta2
== 3.13.0-beta3
== 3.13.0-beta4
== 3.13.0-rc1
>= 3.12.0 < 3.12.6
< 3.8.20
>= 3.9.0 < 3.9.20
>= 3.10.0 < 3.10.15
>= 3.11.0 < 3.11.10
Medium December 8, 2023 12/8/23
== 3.12.0
== 3.13.0-alpha1
== 3.13.0-alpha2
Medium August 25, 2023 8/25/23
>= 3.11.0 < 3.11.5
>= 3.10.0 < 3.10.13
>= 3.9.0 < 3.9.18
< 3.8.18
High August 23, 2023 8/23/23
>= 3.11.0 <= 3.11.4
Medium August 22, 2023 8/22/23
>= 3.7.0 < 3.7.10
< 3.6.13
>= 3.9.0 < 3.9.1
>= 3.8.0 < 3.8.7
Critical August 22, 2023 8/22/23
>= 3.7.0 < 3.7.10
< 3.6.13
>= 3.9.0 < 3.9.1
>= 3.8.0 < 3.8.7
Medium August 22, 2023 8/22/23
>= 3.9.0 < 3.9.1
>= 3.7.0 < 3.7.10
< 3.6.13
>= 3.8.0 < 3.8.7
High August 22, 2023 8/22/23
== 3.9.0-alpha1
== 3.9.0-alpha2
>= 3.8.0 < 3.8.2
>= 3.7.0 < 3.7.7
< 3.6.11
Medium August 15, 2023 8/15/23
== 3.13.0-alpha0
High June 25, 2023 6/25/23
<= 3.11.4
Medium June 7, 2023 6/7/23
== 3.12.0-alpha7
Medium April 19, 2023 4/19/23
<= 2.7.18
>= 3.9.0 < 3.9.20
>= 3.10.0 < 3.10.15
>= 3.11.0 < 3.11.10
>= 3.12.0 < 3.12.6
>= 3.0 < 3.8.20
High February 17, 2023 2/17/23
>= 3.10.0 < 3.10.12
>= 3.9.0 < 3.9.17
>= 3.8.0 < 3.8.17
< 3.7.17
>= 3.11.0 < 3.11.4
High November 9, 2022 11/9/22
<= 3.7.15
>= 3.10.0 <= 3.10.8
== 3.11.0
== 3.11.0-alpha1
== 3.11.0-alpha2
== 3.11.0-alpha3
== 3.11.0-alpha4
== 3.11.0-alpha5
== 3.11.0-alpha6
== 3.11.0-alpha7
== 3.11.0-beta1
== 3.11.0-beta2
== 3.11.0-beta3
== 3.11.0-beta4
== 3.11.0-beta5
== 3.11.0-rc1
== 3.11.0-rc2
>= 3.8.0 <= 3.8.15
>= 3.9.0 <= 3.9.15
High November 7, 2022 11/7/22
>= 3.9.0 < 3.9.16
>= 3.10.0 < 3.10.9
>= 3.8.3 <= 3.8.15
>= 3.7.3 <= 3.7.15
Critical October 21, 2022 10/21/22
>= 3.8.0 < 3.8.16
>= 3.9.0 < 3.9.16
>= 3.10.0 < 3.10.9
>= 3.6.0 < 3.7.16
High September 9, 2022 9/9/22
== 3.11.0-alpha2
== 3.11.0-alpha3
== 3.11.0-alpha4
== 3.11.0-alpha5
== 3.11.0-alpha6
== 3.11.0-alpha1
>= 3.7.0 < 3.7.14
>= 3.8.0 < 3.8.14
== 3.11.0-beta2
== 3.11.0-beta3
== 3.11.0-beta4
== 3.11.0-beta5
== 3.11.0-rc1
>= 3.10.0 < 3.10.7
>= 3.9.0 < 3.9.14
== 3.11.0-alpha7
== 3.11.0-beta1
Medium August 24, 2022 8/24/22
>= 3.9.0 < 3.9.3
>= 3.8.0 < 3.8.9
>= 3.7.0 < 3.7.11
>= 3.6.0 < 3.6.14
== 3.10.0
High August 23, 2022 8/23/22
== 3.11.0-alpha2
== 3.11.0-alpha3
== 3.11.0-alpha4
== 3.11.0-alpha5
== 3.11.0-alpha6
== 3.11.0-alpha1
>= 3.8.0 < 3.8.14
== 3.11.0-beta2
== 3.11.0-beta3
>= 3.9.0 < 3.9.14
== 3.11.0-alpha7
== 3.11.0-beta1
>= 3.10.0 < 3.10.6
>= 3.0.0 < 3.7.14
Medium June 16, 2022 6/16/22
== 2.7.13
High April 13, 2022 4/13/22
>= 3.8.0 <= 3.8.15
>= 3.9.0 <= 3.9.15
>= 3.10.0 < 3.10.8
>= 3.7.0 <= 3.7.15
High March 25, 2022 3/25/22
>= 3.10.0 < 3.10.5
>= 3.9.0 < 3.9.13
>= 3.7.0 < 3.7.14
>= 3.8.0 < 3.8.14
High March 10, 2022 3/10/22
<= 3.7.12
>= 3.8.0 <= 3.8.12
>= 3.9.0 <= 3.9.10
>= 3.10.0 <= 3.10.2
== 3.11.0-alpha2
== 3.11.0-alpha3
== 3.11.0-alpha4
== 3.11.0-alpha5
== 3.11.0-alpha6
== 3.11.0-alpha1
Medium March 10, 2022 3/10/22
>= 3.9.0 < 3.9.5
>= 3.7.0 < 3.7.11
< 3.6.14
== 3.10.0
>= 3.8.0 < 3.8.10
High March 4, 2022 3/4/22
>= 3.8.0 < 3.8.11
>= 3.7.0 < 3.7.11
>= 3.9.0 < 3.9.6
>= 3.6.0 < 3.6.14
High February 9, 2022 2/9/22
== 3.10.0-alpha1
== 3.10.0-alpha2
== 3.10.0-alpha3
== 3.10.0-alpha4
== 3.10.0-alpha5
== 3.10.0-alpha6
>= 3.9.0 < 3.9.5
>= 3.8.0 < 3.8.11
>= 3.7.0 < 3.7.11
< 3.6.14
Medium May 20, 2021 5/20/21
>= 3.8.0 < 3.8.8
>= 3.7.0 < 3.7.10
>= 3.6.0 < 3.6.13
== 3.10.0-alpha1
== 3.10.0-alpha2
== 3.10.0-alpha3
== 3.10.0-alpha4
== 3.10.0-alpha5
== 3.10.0-alpha6
>= 3.9.0 < 3.9.3
< 2.7.18
Critical May 6, 2021 5/6/21
>= 3.8.0 < 3.8.12
>= 3.9.0 < 3.9.5
Medium February 15, 2021 2/15/21
>= 3.9.0 < 3.9.2
>= 3.8.0 < 3.8.8
>= 3.7.0 < 3.7.10
< 3.6.13
Critical January 19, 2021 1/19/21
>= 3.7.0 <= 3.7.9
>= 3.9.0 <= 3.9.1
>= 3.8.0 <= 3.8.7
>= 3.6.0 <= 3.6.12
Critical October 22, 2020 10/22/20
>= 3.7.0 < 3.7.10
>= 3.9.0 < 3.9.1
>= 3.8.0 < 3.8.7
>= 3.0.0 < 3.6.13
High September 27, 2020 9/27/20
>= 3.0.0 < 3.5.10
>= 3.8.0 < 3.8.5
>= 3.7.0 < 3.7.9
>= 3.6.0 < 3.6.12
Critical July 17, 2020 7/17/20
>= 3.7.0 < 3.7.9
>= 3.8.0 < 3.8.5
High July 13, 2020 7/13/20
>= 3.8.0 < 3.8.5
>= 3.7.0 < 3.7.9
>= 3.6.0 < 3.6.12
>= 3.5.0 < 3.5.10
High July 4, 2020 7/4/20
>= 3.5.0 < 3.5.10
>= 3.6.0 < 3.6.12
>= 3.7.0 < 3.7.9
>= 3.8.0 < 3.8.4
== 3.8.4-rc1
== 3.9.0-alpha1
== 3.9.0-alpha2
== 3.9.0-alpha3
== 3.9.0-alpha4
== 3.9.0-alpha5
== 3.9.0-alpha6
== 3.9.0-beta1
== 3.9.0-beta2
== 3.9.0-beta3
== 3.9.0-beta4
Medium June 18, 2020 6/18/20
>= 3.0.0 < 3.5.10
>= 3.7.0 < 3.7.9
>= 3.6.0 < 3.6.12
>= 3.8.0 < 3.8.4
High March 11, 2020 3/11/20
>= 3.2.0 < 3.2.6
>= 3.4.0 < 3.4.3
>= 2.7.0 < 2.7.9
>= 3.3.0 < 3.3.6
Critical February 20, 2020 2/20/20
>= 3.2.0 < 3.2.6
>= 3.3.0 < 3.3.6
>= 3.4.0 < 3.4.2
>= 2.7.0 < 2.7.8
High February 4, 2020 2/4/20
>= 3.2 <= 3.8
Medium January 30, 2020 1/30/20
>= 3.8.0 <= 3.8.1
>= 3.7.0 <= 3.7.6
>= 3.6.0 <= 3.6.10
>= 3.5.0 <= 3.5.9
>= 2.7.0 <= 2.7.17
Medium January 28, 2020 1/28/20
>= 3.8.0 <= 3.8.1
>= 3.7.0 <= 3.7.6
>= 3.6.0 <= 3.6.10
Medium November 27, 2019 11/27/19
>= 3.3.0 < 3.3.7
>= 3.5.0 < 3.5.3
>= 2.7.0 < 2.7.13
>= 3.4.0 < 3.4.6
High October 31, 2019 10/31/19
>= 3.7.0 < 3.7.3
>= 3.6.0 < 3.6.9
>= 3.5.0 < 3.5.7
>= 2.7.0 < 2.7.16
>= 3.4.0 < 3.4.10

microsoft / python

5 vulnerabilities found
Title Severity Exploit Date Affected Version
High July 8, 2025 7/8/25
< 2025.8.1
High November 12, 2024 11/12/24
< 2024.18.2
High December 29, 2023 12/29/23
< 2020.9.2
High May 21, 2020 5/21/20
< 2020.5.0
High May 21, 2020 5/21/20
< 2020.5.0

Showing vulnerabilities for 3 products matching "python". Each product has independent pagination.

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.