Vulnerability Database

325,773

Total vulnerabilities in the database

Vulnerabilities for products matching "winrar"

Found 1 matching product.

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

rarlab / winrar

27 vulnerabilities found
Title Severity Exploit Date Affected Version
Medium November 12, 2025 11/12/25
== 7.11
High August 8, 2025 8/8/25
< 7.13
Unknown June 21, 2025 6/21/25
< 7.12
Unknown April 3, 2025 4/3/25
< 7.11
High May 21, 2024 5/21/24
< 7.00
Unknown May 3, 2024 5/3/24
< 6.23
High April 29, 2024 4/29/24
< 7.00
Unknown April 2, 2024 4/2/24
== 7.00-beta4
High August 23, 2023 8/23/23
< 6.23
High March 29, 2023 3/29/23
== 6.11
Medium February 13, 2019 2/13/19
<= 5.60
High February 5, 2019 2/5/19
<= 5.61
Low February 5, 2019 2/5/19
<= 5.61
Medium February 5, 2019 2/5/19
<= 5.60
Low December 30, 2015 12/30/15
<= 5.30
High September 1, 2009 9/1/09
== 3.50
== 3.60_beta8
== 3.0.0
== 3.70_beta6
== 3.10
== 3.51
== 3.60_beta3
== 3.41
== 3.20
== 3.70_beta1
== 3.42
== 3.60_beta2
== 3.30
== 3.70_beta4
== 3.61
== 3.60_beta5
== 2.90
== 3.70_beta7
== 3.40
== 3.70_beta3
== 3.10_beta3
== 3.60_beta6
== 3.70_beta8
== 3.60_beta4
== 3.60_beta7
== 3.10_beta5
== 3.70_beta2
== 3.62
== 3.70_beta5
== 3.60_beta1
<= 3.70
== 3.11
Low July 28, 2006 7/28/06
== 3.60_beta8
High July 25, 2006 7/25/06
== 3.50
== 3.0.0
== 3.10
== 3.51
== 3.60_beta3
== 3.41
== 3.20
== 3.42
== 3.60_beta2
== 3.30
== 3.60_beta5
== 3.40
== 3.10_beta3
== 3.60_beta6
== 3.60_beta4
== 3.10_beta5
== 3.60_beta1
== 3.11
Low December 31, 2005 12/31/05
== 3.50
== 3.0.0
== 3.10
== 3.41
== 3.20
== 3.42
== 3.30
== 2.90
== 3.40
== 3.10_beta3
== 3.10_beta5
== 3.11
Medium December 22, 2005 12/22/05
== 3.51
High October 20, 2005 10/20/05
== 3.50
== 3.0.0
== 3.10
== 3.41
== 3.20
== 3.42
== 2.90
== 3.40
== 3.10_beta3
== 3.10_beta5
== 3.11
High October 20, 2005 10/20/05
== 3.50
== 3.0.0
== 3.10
== 3.41
== 3.20
== 3.42
== 2.90
== 3.40
== 3.10_beta3
== 3.10_beta5
== 3.11
Low May 2, 2005 5/2/05
== 3.0.0
== 3.10
== 3.41
== 3.20
== 3.42
== 3.40
== 3.10_beta3
== 3.10_beta5
== 3.11
High January 10, 2005 1/10/05
== 3.0.0
== 3.10
== 3.41
== 3.20
== 3.40
== 3.10_beta3
== 3.10_beta5
== 3.11
Low December 31, 2004 12/31/04
== 3.0.0
== 3.10
== 3.20
== 2.90
== 3.40
== 3.10_beta3
== 3.10_beta5
== 3.11
High August 18, 2004 8/18/04
== 3.20
Medium August 18, 2004 8/18/04
== 3.20

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.

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