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 / python

130 vulnerabilities found
Title Severity Exploit Date Affected Version
Medium October 23, 2019 10/23/19
>= 2.0 <= 2.7.17
>= 3.8.0 < 3.8.3
>= 3.0 < 3.5.10
>= 3.6.0 < 3.6.11
>= 3.7.0 < 3.7.8
High October 12, 2019 10/12/19
== 3.8.0
== 3.6.0
== 3.7.0
Medium September 28, 2019 9/28/19
>= 2.7.0 < 2.7.17
>= 3.7.0 < 3.7.5
>= 3.6.0 < 3.6.10
>= 3.0.0 < 3.5.8
High September 6, 2019 9/6/19
<= 2.7.16
>= 3.5.0 <= 3.5.7
>= 3.6.0 <= 3.6.9
>= 3.7.0 <= 3.7.4
>= 3.0.0 <= 3.0.1
>= 3.1.0 <= 3.1.5
>= 3.2.0 <= 3.2.6
>= 3.3.0 <= 3.3.7
>= 3.4.0 <= 3.4.10
High September 4, 2019 9/4/19
>= 3.5.0 < 3.5.8
>= 2.7.0 < 2.7.17
>= 3.7.0 < 3.7.5
>= 3.6.0 < 3.6.10
Medium July 13, 2019 7/13/19
>= 2.0 <= 2.7.16
>= 3.7.0 < 3.7.3
>= 3.6.0 < 3.6.9
>= 3.5.0 < 3.5.7
>= 3.0.0 < 3.4.10
High July 8, 2019 7/8/19
<= 2.7.16
>= 3.0.0 < 3.5.0
Critical June 19, 2019 6/19/19
>= 3.10.0 < 3.10.3
>= 3.9.0 < 3.9.11
>= 3.8.0 < 3.8.13
>= 3.7.0 < 3.7.13
Critical June 7, 2019 6/7/19
>= 3.6.0 < 3.6.9
>= 3.7.0 < 3.7.4
>= 3.5.0 < 3.5.8
>= 2.7.0 < 2.7.17
== 3.8.0-alpha4
== 3.8.0-beta1
Medium March 23, 2019 3/23/19
>= 3.6.0 < 3.6.9
>= 3.7.0 < 3.7.4
>= 3.5.0 < 3.5.8
>= 2.7.0 < 2.7.17
Critical March 23, 2019 3/23/19
>= 3.6.0 < 3.6.9
>= 3.7.0 < 3.7.4
>= 3.5.0 < 3.5.8
>= 2.0 < 2.7.17
Medium March 13, 2019 3/13/19
>= 3.6.0 < 3.6.9
>= 3.7.0 < 3.7.4
>= 3.5.0 < 3.5.8
>= 2.0 < 2.7.17
Critical March 8, 2019 3/8/19
>= 3.7.0 < 3.7.3
>= 3.6.0 < 3.6.9
>= 3.5.0 < 3.5.7
>= 3.0.0 < 3.4.10
>= 2.7.0 < 2.7.17
Medium December 23, 2018 12/23/18
>= 3.4.0 < 3.7.1
High September 25, 2018 9/25/18
>= 3.5.0 <= 3.5.6
>= 2.7.0 <= 2.7.15
== 3.7.0
>= 3.4.0 <= 3.4.9
>= 3.6.0 <= 3.6.6
Critical September 18, 2018 9/18/18
>= 2.7.0 < 2.7.16
Medium June 19, 2018 6/19/18
< 2.7.15
>= 3.0 < 3.4.9
>= 3.6 <= 3.6.4
>= 3.5.0 <= 3.5.5
== 3.7.0-alpha1
== 3.7.0-alpha2
== 3.7.0-alpha3
== 3.7.0-alpha4
== 3.7.0-beta1
== 3.7.0-beta2
== 3.7.0-beta3
== 3.7.0-beta4
== 3.7.0-beta5
== 3.7.0-rc1
High June 18, 2018 6/18/18
>= 2.7.0 < 2.7.15
>= 3.5.0 < 3.5.6
>= 3.0.0 < 3.4.9
>= 3.6.0.x < 3.6.5
Critical June 11, 2018 6/11/18
>= 3.6.0 < 3.6.2
>= 3.5.0 < 3.5.4
>= 3.4.0 < 3.4.7
>= 3.3.0 < 3.3.7
>= 2.7.0 < 2.7.15
Medium March 7, 2018 3/7/18
>= 3.2.0 < 3.4.9
>= 3.5.0 < 3.5.6
>= 3.6.0 < 3.6.5
== 3.7.0-beta1
== 3.7.0-beta2
== 3.7.0-beta3
== 3.7.0-beta4
== 3.7.0-beta5
Low March 1, 2018 3/1/18
<= 3.6.4
Low February 8, 2018 2/8/18
<= 2.7.14
Medium December 14, 2017 12/14/17
<= 3.6.3
Critical November 17, 2017 11/17/17
< 2.7.15
>= 3.5.0 < 3.5.5
>= 3.4.0 < 3.4.8
Medium August 24, 2017 8/24/17
>= 3.3.0 < 3.3.6
>= 2.7.0 < 2.7.7
>= 3.0.0 < 3.2.6
>= 3.4.0 < 3.4.1
High July 25, 2017 7/25/17
>= 3.6.0 < 3.6.2
>= 3.5.0 < 3.5.4
>= 3.4.0 < 3.4.7
>= 3.3.0 < 3.3.7
>= 2.7.0 < 2.7.15
Low September 2, 2016 9/2/16
<= 2.7.9
== 3.1.1
== 3.3.2
== 3.0
== 3.0.1
== 3.2.2
== 3.1.0
== 3.2.5
== 3.1.5
== 3.3.6
== 3.4.0
== 3.2.1
== 3.2.0
== 3.3.1
== 3.4.3
== 3.1.2
== 3.3.4
== 3.3.5
== 3.2.3
== 3.2.6
== 3.3.0
== 3.4.2
== 3.3.3
== 3.2.4
== 3.4.1
== 3.1.3
== 3.1.4
High September 2, 2016 9/2/16
== 3.1.1
== 3.3.2
== 3.0
== 3.0.1
== 3.2.2
== 3.1.0
== 3.2.5
== 3.1.5
== 3.3.6
== 3.4.0
== 3.2.1
== 3.2.0
== 3.3.1
== 3.4.3
== 3.4.4
== 3.1.2
== 3.3.4
== 3.3.5
== 3.2.3
== 3.2.6
== 3.3.0
== 3.4.2
== 3.3.3
== 3.2.4
== 3.4.1
== 3.1.3
== 3.1.4
<= 2.7.11
== 3.5.0
== 3.5.1
Medium September 2, 2016 9/2/16
== 3.5.0
== 3.5.1
== 3.1.1
== 3.3.2
== 3.0
== 3.0.1
== 3.2.2
== 3.1.0
== 3.2.5
== 3.1.5
== 3.3.6
== 3.4.0
== 3.2.1
== 3.2.0
== 3.3.1
== 3.4.3
== 3.4.4
== 3.1.2
== 3.3.4
== 3.3.5
== 3.2.3
== 3.2.6
== 3.3.0
== 3.4.2
== 3.3.3
== 3.2.4
== 3.4.1
== 3.1.3
== 3.1.4
<= 2.7.11
High September 1, 2016 9/1/16
>= 3.4.0 < 3.4.7
>= 3.5.0 < 3.5.3
>= 2.7.0 < 2.7.13
High June 30, 2016 6/30/16
>= 3.6.0 < 3.6.2
>= 3.5.0 < 3.5.4
>= 3.4.0 < 3.4.7
>= 3.3.0 < 3.3.7
>= 2.7.0 < 2.7.15
Medium June 30, 2016 6/30/16
>= 3.10.0 < 3.10.3
>= 3.9.0 < 3.9.11
>= 3.8.0 < 3.8.13
>= 3.7.0 < 3.7.13
Low June 7, 2016 6/7/16
<= 2.7.8
== 3.1
== 3.1.1
== 3.3.2
== 3.0
== 3.3.1-rc1
== 3.0.1
== 3.2.2
== 3.3
== 3.2.5
== 3.1.5
== 3.2.2150
== 3.2.1
== 3.2.0
== 3.3.1
== 3.1.2150
== 3.1.2
== 3.2.3
== 3.2.6
== 3.2
== 3.3.0
== 3.2.4
== 3.2-alpha
== 3.3-beta2
== 3.1.3
== 3.1.4
Critical May 26, 2016 5/26/16
>= 3.6.0 < 3.6.2
>= 3.5.0 < 3.5.4
>= 3.4.0 < 3.4.7
>= 3.3.0 < 3.3.7
>= 2.7.0 < 2.7.15
High October 6, 2015 10/6/15
<= 3.5.0
Medium July 23, 2015 7/23/15
>= 3.3.0 < 3.3.7
>= 3.5.0 < 3.5.2
>= 3.4.0 < 3.4.5
>= 2.7.0 < 2.7.12
Medium December 12, 2014 12/12/14
== 2.7.6
== 2.4.2
== 3.3.5
== 3.1
== 3.3.3-rc2
== 3.1.1
== 3.3.2
== 2.7.8
== 2.5.1
== 2.3.4
== 3.0
== 3.3.1-rc1
== 2.6.6
== 3.0.1
== 2.1
== 2.0.1
== 3.2.2
== 2.7.1150
== 3.3
== 2.6.1
== 2.3.1
== 3.2.5
== 2.1.2
== 3.1.5
== 3.2.2150
== 3.3.4-rc1
== 2.7.4
== 2.2.1
== 3.4.0
== 3.2.1
== 2.5.4
== 3.2.0
== 3.3.1
== 2.6.3
== 2.2.2
== 2.1.1
== 3.3.3-rc1
== 2.6.2150
== 2.3.3
== 2.7.1
== 3.1.2150
== 2.3.2
== 3.1.2
== 2.6.8
== 2.6.7
== 2.4.6
== 2.7.3
== 2.7.1-rc1
== 2.0
== 2.2.3
== 3.3.4
== 2.5.2
== 2.3.7
== 3.3.6-rc1
== 3.2.3
== 2.6.4
== 3.3.5-rc2
== 2.7.2-rc1
== 2.6.6150
== 2.7.7
== 3.3.5-rc1
== 2.5.3
== 3.2.6
== 3.2
== 2.7.5
== 2.4.4
== 3.3.0
== 2.5.150
== 2.2
== 3.4.2
== 2.6.2
== 2.5.6
== 3.3.3
== 2.3.5
== 3.4-alpha1
== 3.2.4
== 2.7.2150
== 2.1.3
== 3.4.1
== 3.2-alpha
== 2.4.1
== 2.4.3
== 3.3-beta2
== 2.6.5
== 3.1.3
== 3.1.4
Low November 16, 2014 11/16/14
== 3.3.2
== 3.2.2
== 3.2.5
== 3.3.6
== 3.4.0
== 3.2.1
== 3.2.0
== 3.3.1
== 3.3.4
== 3.3.5
== 3.2.3
== 3.2.6
== 3.3.0
== 3.4.2
== 3.3.3
== 3.2.4
== 3.4.1
Medium October 8, 2014 10/8/14
== 2.7.6
<= 2.7.7
== 2.7.1150
== 2.7.4
== 2.7.1
== 2.7.3
== 2.7.1-rc1
== 2.7.2-rc1
== 2.7.5
== 2.7.2150
High June 5, 2014 6/5/14
>= 2.7.0 < 2.7.8
>= 3.4.0 < 3.4.2
Low May 19, 2014 5/19/14
== 2.7.6
== 3.3.5
== 3.1
== 3.3.3-rc2
== 3.1.1
== 3.3.2
== 3.0
== 3.3.1-rc1
== 3.0.1
== 3.2.2
== 3.3
== 3.2.5
== 3.1.5
== 3.2.2150
== 3.3.4-rc1
== 2.7.4
== 3.2.1
== 3.2.0
== 3.3.1
== 3.3.3-rc1
== 2.7.1
== 3.1.2
== 2.7.1150
== 2.7.3
== 2.7.1-rc1
== 3.3.4
== 3.2.3
== 3.3.5-rc2
== 2.7.2-rc1
== 2.7.7
== 3.3.5-rc1
== 3.2
== 2.7.5
== 3.3.0
== 3.3.3
== 3.2.4
== 2.7.2150
== 3.2-alpha
== 3.3-beta2
== 3.1.3
== 3.1.4
High April 22, 2014 4/22/14
== 3.3.3-rc2
== 3.3.2
== 3.3.1-rc1
== 3.3.3-rc1
== 3.3.3
== 3.3.0
== 3.3.0-alpha1
== 3.3.0-alpha2
== 3.3.0-alpha3
== 3.3.0-alpha4
== 3.3.0-beta1
== 3.3.0-beta2
== 3.3.0-rc1
== 3.3.0-rc2
== 3.3.0-rc3
== 3.3.1
High March 1, 2014 3/1/14
== 2.7.6
== 2.5.1
== 2.6.6
== 2.7.1150
== 2.6.1
== 2.7.4
== 2.5.4
== 2.6.3
== 2.6.2150
== 2.7.1
== 2.6.8
== 2.6.7
== 2.7.3
== 2.7.1-rc1
== 2.5.2
== 2.6.4
== 2.7.2-rc1
== 2.6.6150
== 2.5.3
== 2.7.5
== 2.5.150
== 2.6.2
== 2.5.6
== 2.7.2150
== 2.6.5
== 3.1
== 3.1.1
== 3.3.2
== 3.0
== 3.0.1
== 3.2.2
== 3.3
== 3.2.5
== 3.1.5
== 3.2.2150
== 3.2.1
== 3.2.0
== 3.3.1
== 3.1.2150
== 3.1.2
== 3.2.3
== 3.2
== 3.3.0
== 3.3.3
== 3.4-alpha1
== 3.2.4
== 3.2-alpha
== 3.3-beta2
== 3.1.3
== 3.1.4
Medium January 21, 2014 1/21/14
>= 3.8.0 < 3.8.12
>= 3.9.0 < 3.9.7
>= 3.7.0 < 3.7.12
>= 3.6.0 < 3.6.15
Low October 9, 2013 10/9/13
== 3.3.2
== 3.2.2
== 3.2.5
== 3.2.1
== 3.2.0
== 3.3.1
== 3.2.3
== 3.3.0
== 3.2.4
Low August 18, 2013 8/18/13
== 3.1
== 3.1.1
== 3.0
== 2.6.6
== 3.0.1
== 2.7.1150
== 3.3
== 2.6.1
== 3.1.5
== 3.2.2150
== 2.6.3
== 2.6.2150
== 2.7.1
== 3.1.2150
== 3.1.2
== 2.6.8
== 2.6.7
== 2.7.3
== 2.7.1-rc1
== 3.2.3
== 2.6.4
== 2.7.2-rc1
== 2.6.6150
== 3.2
== 2.6.2
== 3.4-alpha1
== 2.7.2150
== 3.2-alpha
== 3.3-beta2
== 2.6.5
== 3.1.3
== 3.1.4
Medium October 5, 2012 10/5/12
== 2.4.2
== 2.5.1
== 2.3.4
== 2.6.6
== 2.1
== 2.0.1
== 2.6.1
== 2.3.1
== 0.9.1
== 2.1.2
== 0.9.0
== 1.6.1
== 2.2.1
== 2.5.4
== 1.3
== 2.6.3
== 2.2.2
== 2.1.1
== 1.5.2
== 2.6.2150
== 2.3.3
== 2.3.2
== 1.6
== 1.2
== 2.4.6
== 2.0
== 2.2.3
<= 2.6.7
== 2.5.2
== 2.3.7
== 2.6.4
== 2.6.6150
== 2.5.3
== 2.4.4
== 2.5.150
== 2.2
== 2.6.2
== 2.5.6
== 2.3.5
== 2.1.3
== 2.4.1
== 2.4.3
== 2.6.5
== 2.7.1
== 2.7.1150
== 2.7.1-rc1
== 2.7.2-rc1
== 2.7.2150
== 3.1
== 3.1.1
== 3.0
== 3.0.1
== 3.1.2
== 3.1.3
== 3.1.4
== 3.2.2150
== 3.2
== 3.2-alpha
Medium October 5, 2012 10/5/12
== 2.4.2
== 2.5.1
== 2.3.4
== 2.6.6
== 2.1
== 2.0.1
== 2.6.1
== 2.3.1
== 0.9.1
== 2.1.2
== 0.9.0
== 1.6.1
== 2.2.1
== 2.5.4
== 1.3
== 2.6.3
== 2.2.2
== 2.1.1
== 1.5.2
== 2.6.2150
== 2.3.3
== 2.3.2
== 1.6
== 1.2
== 2.4.6
== 2.0
== 2.2.3
<= 2.6.7
== 2.5.2
== 2.3.7
== 2.6.4
== 2.6.6150
== 2.5.3
== 2.4.4
== 2.5.150
== 2.2
== 2.6.2
== 2.5.6
== 2.3.5
== 2.1.3
== 2.4.1
== 2.4.3
== 2.6.5
== 2.7.1
== 2.7.1150
== 2.7.1-rc1
== 2.7.2-rc1
== 2.7.2150
== 3.1
== 3.1.1
== 3.0
== 3.0.1
== 3.1.2
== 3.1.3
== 3.1.4
== 3.2.2150
== 3.2
== 3.2-alpha
Low August 27, 2012 8/27/12
== 3.1
== 3.1.1
== 3.0
== 2.6.6
== 3.0.1
== 2.7.1150
== 2.6.1
== 3.1.5
== 2.6.3
== 2.6.2150
== 2.7.1
== 3.1.2150
== 3.1.2
== 2.6.8
== 2.6.7
== 2.7.3
== 2.7.1-rc1
== 2.6.4
== 2.7.2-rc1
== 2.6.6150
== 3.2
== 2.6.2
== 2.7.2150
== 3.2-alpha
== 2.6.5
== 3.1.3
== 3.1.4
Medium August 14, 2012 8/14/12
>= 3.3.0 < 3.3.3
>= 3.2.0 < 3.2.4
>= 2.7.0 < 2.7.4

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

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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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