Vulnerability Database

383,304

Total vulnerabilities in the database

Vulnerabilities for products matching "ruby"

Found 2 matching products. Filters apply to all results.

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

yukihiro_matsumoto / ruby

8 vulnerabilities found
Title Severity Exploit Date Affected versions
Medium December 6, 2006 12/6/06
= 1.8
= 1.8.1
= 1.8.2
= 1.8.2_pre1
= 1.8.2_pre2
= 1.8.3
= 1.8.4
= 1.8.5
Medium October 27, 2006 10/27/06
= 1.8
Medium July 21, 2006 7/21/06
= 1.8.2
= 1.8.3
= 1.8.4
Medium April 20, 2006 4/20/06
= 1.6
= 1.6.1
= 1.6.2
= 1.6.3
= 1.6.4
= 1.6.5
= 1.6.6
= 1.6.7
= 1.8
= 1.8.1
High October 7, 2005 10/7/05
= 1.6
= 1.6.1
= 1.6.2
= 1.6.3
= 1.6.4
= 1.6.5
= 1.6.6
= 1.6.7
= 1.8
= 1.8.1
= 1.8.2_pre1
= 1.8.2_pre2
High June 20, 2005 6/20/05
= 1.8
Medium March 1, 2005 3/1/05
= 1.6
= 1.6.7
= 1.8
= 1.8.1
= 1.8.2_pre1
= 1.8.2_pre2
Low October 20, 2004 10/20/04
= 1.6
= 1.8

ruby-lang / ruby

92 vulnerabilities found
Title Severity Exploit Date Affected versions
High May 22, 2026 5/22/26
>= 4.0.0, < 4.0.5
High March 31, 2023 3/31/23
<= 2.7.7
High November 18, 2022 11/18/22
>= 3.1.0, < 3.1.3
>= 3.0.0, < 3.0.5
>= 2.7.0, < 2.7.7
Critical September 29, 2022 9/29/22
= 2.2.2
= 2.3.0
Critical May 9, 2022 5/9/22
>= 3.1.0, < 3.1.2
>= 3.0.0, < 3.0.4
High May 9, 2022 5/9/22
>= 3.1.0, < 3.1.2
>= 3.0.0, < 3.0.4
>= 2.7.0, < 2.7.6
< 2.6.10
High January 1, 2022 1/1/22
>= 3.0.0, < 3.0.3
>= 2.7.0, < 2.7.5
<= 2.6.8
High January 1, 2022 1/1/22
>= 3.0.0, < 3.0.3
>= 2.7.0, < 2.7.5
>= 2.6.0, < 2.6.9
High August 1, 2021 8/1/21
>= 2.6.0, <= 2.6.7
>= 2.7.0, <= 2.7.3
>= 3.0.0, <= 3.0.1
High July 30, 2021 7/30/21
< 2.7.3
>= 3.0.0, < 3.0.1
Medium July 13, 2021 7/13/21
<= 2.6.7
>= 2.7.0, <= 2.7.3
>= 3.0.0, <= 3.0.1
High April 21, 2021 4/21/21
>= 3.0.0, < 3.0.1
>= 2.7.0, < 2.7.3
< 2.6.7
High October 6, 2020 10/6/20
<= 2.5.8
>= 2.6.0, <= 2.6.6
>= 2.7.0, <= 2.7.1
Medium May 4, 2020 5/4/20
>= 2.5.0, <= 2.5.7
>= 2.6.0, <= 2.6.5
= 2.7.0
Medium February 28, 2020 2/28/20
<= 2.3.0
>= 2.4.0, <= 2.4.7
>= 2.5.0, <= 2.5.6
>= 2.6.0, <= 2.6.4
= 2.7.0-preview1
Medium November 29, 2019 11/29/19
>= 2.1.0, < 2.1.6
>= 2.2.0, < 2.2.2
= 2.0.0
= 2.0.0-p0
= 2.0.0-p195
= 2.0.0-p247
= 2.0.0-p353
= 2.0.0-p451
= 2.0.0-p481
= 2.0.0-p576
= 2.0.0-p594
= 2.0.0-p598
= 2.0.0-p643
High November 26, 2019 11/26/19
>= 2.4.0, <= 2.4.7
>= 2.5.0, <= 2.5.6
>= 2.6.0, <= 2.6.4
Medium November 26, 2019 11/26/19
<= 2.3.0
>= 2.4.0, <= 2.4.7
>= 2.5.0, <= 2.5.6
>= 2.6.0, <= 2.6.4
High November 26, 2019 11/26/19
>= 2.4.0, <= 2.4.7
>= 2.5.0, <= 2.5.6
>= 2.6.0, <= 2.6.4
Medium November 26, 2019 11/26/19
>= 2.4.0, <= 2.4.7
>= 2.5.0, <= 2.5.6
>= 2.6.0, <= 2.6.4
Critical November 26, 2019 11/26/19
>= 1.8.7.334, < 1.9.3
Medium November 26, 2019 11/26/19
= 1.8.7
= 1.9.2
Medium November 16, 2018 11/16/18
>= 2.3.0, <= 2.3.7
>= 2.4.0, <= 2.4.4
>= 2.5.0, <= 2.5.1
= 2.6.0-preview1
= 2.6.0-preview2
Critical November 16, 2018 11/16/18
>= 2.3.0, <= 2.3.7
>= 2.4.0, <= 2.4.4
>= 2.5.0, <= 2.5.1
= 2.6.0-preview1
= 2.6.0-preview2
Medium April 3, 2018 4/3/18
>= 2.3.0, < 2.3.7
>= 2.4.0, < 2.4.4
>= 2.5.0, < 2.5.1
>= 2.2.0, < 2.2.10
= 2.6.0-preview1
Medium April 3, 2018 4/3/18
>= 2.3.0, < 2.3.7
>= 2.4.0, < 2.4.4
>= 2.5.0, < 2.5.1
>= 2.2.0, < 2.2.10
= 2.6.0-preview1
Medium April 3, 2018 4/3/18
>= 2.3.0, < 2.3.7
>= 2.4.0, < 2.4.4
>= 2.5.0, < 2.5.1
>= 2.2.0, < 2.2.10
= 2.6.0-preview1
Medium April 3, 2018 4/3/18
>= 2.3.0, < 2.3.7
>= 2.4.0, < 2.4.4
>= 2.5.0, < 2.5.1
>= 2.2.0, < 2.2.10
= 2.6.0-preview1
Medium April 3, 2018 4/3/18
>= 2.3.0, < 2.3.7
>= 2.4.0, < 2.4.4
>= 2.5.0, < 2.5.1
>= 2.2.0, < 2.2.10
= 2.6.0-preview1
High April 3, 2018 4/3/18
< 2.2.10
>= 2.3.0, < 2.3.7
>= 2.4.0, < 2.4.4
>= 2.5.0, < 2.5.1
= 2.6.0-preview1
High December 20, 2017 12/20/17
>= 2.2, <= 2.2.8
>= 2.3, <= 2.3.5
>= 2.4, <= 2.4.2
= 2.5.0-preview1
High December 15, 2017 12/15/17
>= 2.2, <= 2.2.8
>= 2.3, <= 2.3.5
>= 2.4, <= 2.4.2
= 2.5.0-preview1
High September 19, 2017 9/19/17
<= 2.2.7
= 2.3.0
= 2.3.0-preview1
= 2.3.0-preview2
= 2.3.1
= 2.3.2
= 2.3.3
= 2.3.4
= 2.4.0
= 2.4.0-preview1
= 2.4.0-preview2
= 2.4.0-preview3
= 2.4.0-rc1
= 2.4.1
High September 19, 2017 9/19/17
= 2.2.0
= 2.2.0-preview1
= 2.2.0-preview2
= 2.2.0-rc1
= 2.2.1
= 2.2.2
= 2.2.3
= 2.2.4
= 2.2.5
= 2.2.6
= 2.2.7
= 2.3.0
= 2.3.0-preview1
= 2.3.0-preview2
= 2.3.1
= 2.3.2
= 2.3.3
= 2.3.4
= 2.4.0
= 2.4.0-preview1
= 2.4.0-preview2
= 2.4.0-preview3
= 2.4.0-rc1
= 2.4.1
Medium September 15, 2017 9/15/17
= 2.2.0
= 2.2.1
= 2.2.2
= 2.2.3
= 2.2.4
= 2.2.5
= 2.2.6
= 2.2.7
= 2.3.0
= 2.3.1
= 2.3.2
= 2.3.3
= 2.3.4
= 2.4.0
= 2.4.1
Medium September 6, 2017 9/6/17
<= 1.9.2
High August 31, 2017 8/31/17
<= 2.2.7
= 2.3.0
= 2.3.0-preview1
= 2.3.0-preview2
= 2.3.1
= 2.3.2
= 2.3.3
= 2.3.4
= 2.4.0
= 2.4.0-preview1
= 2.4.0-preview2
= 2.4.0-preview3
= 2.4.0-rc1
= 2.4.1
High July 19, 2017 7/19/17
= 2.4.1
Medium June 12, 2017 6/12/17
<= 2.4.0
High May 24, 2017 5/24/17
<= 2.4.1
High May 24, 2017 5/24/17
<= 2.4.1
Medium April 3, 2017 4/3/17
= 2.4.0
High March 29, 2017 3/29/17
= 1.8.0
= 1.9.0
= 1.9.2
= 1.9.3
= 2.0.0
= 2.0.0-p195
= 2.0.0-p247
= 2.0.0-p353
= 2.0.0-p481
= 2.0.0-p576
= 2.0.0-p594
= 2.0.0-p598
= 2.0.0-p643
= 2.0.0-p645
= 2.0.0-p647
= 2.1.0
= 2.1.1
= 2.1.2
= 2.1.3
= 2.1.4
= 2.1.5
= 2.1.6
= 2.1.7
High January 6, 2017 1/6/17
= 2.2.2
= 2.3.0
High January 6, 2017 1/6/17
= 2.2.2
= 2.3.0
High January 6, 2017 1/6/17
= 2.2.2
= 2.3.0
Medium March 24, 2016 3/24/16
<= 2.0.0-p647
= 2.1.0
= 2.1.1
= 2.1.2
= 2.1.3
= 2.1.4
= 2.1.5
= 2.1.6
= 2.1.7
= 2.2.0
= 2.2.1
= 2.2.2
= 2.2.3
High June 24, 2015 6/24/15
= 1.9
= 1.9.1
= 1.9.2
= 1.9.3
= 2.0.0
= 2.1
= 2.1.1
= 2.1.2
= 2.1.3
= 2.1.4
= 2.1.5
= 2.2.0
Medium November 21, 2014 11/21/14
<= 1.9.3
= 1.9.3
= 1.9.3-p0
= 1.9.3-p125
= 1.9.3-p194
= 1.9.3-p286
= 1.9.3-p383
= 1.9.3-p385
= 1.9.3-p392
= 1.9.3-p426
= 1.9.3-p429
= 1.9.3-p448
= 1.9.3-p545
= 1.9.3-p547
= 2.0.0
= 2.0.0-p0
= 2.0.0-p195
= 2.0.0-p247
= 2.0.0-p451
= 2.0.0-p481
= 2.0.0-p576
= 2.0.0-p594
= 2.1.1
= 2.1.2
= 2.1.3
= 2.1.4
Medium November 15, 2014 11/15/14
<= 1.9.3
= 2.0
= 2.0.0
= 2.0.0-p0
= 2.0.0-p195
= 2.0.0-p247
= 2.0.0-preview1
= 2.0.0-preview2
= 2.0.0-rc1
= 2.0.0-rc2
= 2.1
= 2.1-preview1
= 2.1.1
= 2.1.2

Showing vulnerabilities for 2 products matching "ruby". 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.