Vulnerability Database

365,542

Total vulnerabilities in the database

Vulnerabilities for products matching "mongodb"

Found 7 matching products. Filters apply to all results.

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

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mongodb / mongodb

404 vulnerabilities found
Title Severity Exploit Date Affected Version
Low July 7, 2025 7/7/25
>= 6.0.0 < 6.0.21
>= 7.0.0 < 7.0.18
>= 8.0.0 < 8.0.5
High June 26, 2025 6/26/25
>= 6.0.0 < 6.0.21
>= 7.0.0 < 7.0.17
>= 8.0.0 < 8.0.5
High June 26, 2025 6/26/25
>= 6.0.0 < 6.0.21
>= 7.0.0 < 7.0.17
>= 8.0.0 < 8.0.5
Low June 26, 2025 6/26/25
>= 5.0.0 < 5.0.31
>= 6.0.0 < 6.0.24
>= 7.0.0 < 7.0.21
>= 8.0.0 < 8.0.5
Medium June 26, 2025 6/26/25
>= 6.0.0 < 6.0.21
>= 7.0.0 < 7.0.17
>= 8.0.0 < 8.0.4
Medium April 1, 2025 4/1/25
>= 5.0.0 < 5.0.31
>= 6.0.0 < 6.0.20
>= 7.0.0 < 7.0.16
>= 8.0.0 < 8.0.4
High April 1, 2025 4/1/25
>= 5.0.0 < 5.0.31
>= 6.0.0 < 6.0.20
>= 7.0.0 < 7.0.16
>= 8.0.0 < 8.0.4
High April 1, 2025 4/1/25
>= 5.0.0 < 5.0.31
>= 6.0.0 < 6.0.20
>= 7.0.0 < 7.0.16
Low April 1, 2025 4/1/25
>= 5.0.0 < 5.0.31
>= 6.0.0 < 6.0.20
>= 7.0.0 < 7.0.14
>= 7.3.0 < 7.3.4
High March 18, 2025 3/18/25
>= 7.0.0 < 7.0.16
== 8.0.0
Medium November 14, 2024 11/14/24
>= 5.0.0 < 5.0.30
>= 6.0.0 < 6.0.19
>= 7.0.0 < 7.0.15
>= 8.0.0 < 8.0.3
Medium October 21, 2024 10/21/24
>= 7.3.0 < 7.3.4
>= 7.0.0 < 7.0.13
>= 6.0.0 < 6.0.17
Medium September 10, 2024 9/10/24
>= 6.0.0 <= 6.0.3
Medium August 27, 2024 8/27/24
>= 5.0.0 < 5.0.14
>= 6.0.0 < 6.0.3
>= 6.1.0 < 6.1.1
Medium August 13, 2024 8/13/24
>= 6.0.0 < 6.0.16
>= 7.0.0 < 7.0.11
>= 7.3.0 < 7.3.3
High August 7, 2024 8/7/24
>= 5.0.0 < 5.0.27
>= 6.0.0 < 6.0.16
>= 7.0.0 < 7.0.12
>= 7.3.0 < 7.3.3
Medium July 1, 2024 7/1/24
>= 7.0.0 < 7.0.3
>= 6.0.0 < 6.0.11
>= 5.0.0 < 5.0.22
Medium May 14, 2024 5/14/24
>= 5.0.0 <= 5.0.16
>= 6.0.0 <= 6.0.5
High May 14, 2024 5/14/24
>= 5.0.0 < 5.0.25
>= 6.0.0 < 6.0.14
>= 7.0.0 < 7.0.6
High March 7, 2024 3/7/24
>= 4.4.0 < 4.4.29
>= 5.0.0 < 5.0.25
>= 6.0.0 < 6.0.14
>= 7.0.0 < 7.0.6
Medium August 29, 2023 8/29/23
>= 1.0.0 < 1.9.2
Medium August 23, 2023 8/23/23
>= 4.4.0 < 4.4.23
>= 5.0.0 <= 5.0.14
>= 6.0.0 < 6.0.7
>= 6.3.0 <= 6.3.2
Medium May 14, 2022 5/14/22
== 1.8.0
== 2.0.0
== 2.4.2
<= 2.5.1
== 1.2.0
== 2.4.5
== 2.2.0
== 1.4.0
== 2.4.0
== 2.4.3
== 1.6.0
== 2.5.0
== 2.4.4
== 2.4.1
Medium April 21, 2022 4/21/22
>= 5.0.0 <= 5.0.6
Medium April 12, 2022 4/12/22
>= 5.0.0 < 5.0.4
>= 4.4.0 < 4.4.11
>= 4.2.0 < 4.2.16
Medium February 4, 2022 2/4/22
>= 5.0.0 < 5.0.4
>= 4.4.0 < 4.4.10
>= 2.0.0 < 4.2.18
Medium January 20, 2022 1/20/22
<= 0.7.0
Medium December 15, 2021 12/15/21
>= 4.4.0 < 4.4.6
>= 4.0.0 < 4.0.25
>= 4.2.0 < 4.2.14
Medium November 24, 2021 11/24/21
>= 5.0.0 <= 5.0.2
Medium July 23, 2021 7/23/21
>= 3.6.0 < 3.6.20
>= 4.0.0 < 4.0.21
>= 4.2.0 < 4.2.10
Medium April 30, 2021 4/30/21
>= 4.4.0 < 4.4.4
Low March 1, 2021 3/1/21
>= 4.0.0 < 4.0.6
>= 3.6.0 < 3.6.11
Medium March 1, 2021 3/1/21
>= 4.0.0 < 4.0.20
>= 3.6.0 < 3.6.21
High November 24, 2020 11/24/20
>= 3.6.0 < 3.6.15
>= 4.0.0 < 4.0.13
>= 4.2.0 < 4.2.1
>= 3.4.0 < 3.4.24
Medium November 23, 2020 11/23/20
>= 3.4.0 < 3.4.19
>= 3.6.0 < 3.6.10
>= 4.0.0 < 4.0.5
Medium November 23, 2020 11/23/20
>= 3.6.0 < 3.6.20
>= 4.0.0 < 4.0.20
>= 4.2.0 < 4.2.9
>= 4.4.0 < 4.4.1
>= 4.5.0 < 4.5.1
Medium November 23, 2020 11/23/20
>= 3.6.0 < 3.6.15
>= 4.0.0 < 4.0.13
>= 4.2.0 < 4.2.1
Medium November 23, 2020 11/23/20
>= 3.6.0 < 3.6.9
>= 4.0.0 < 4.0.3
Medium November 23, 2020 11/23/20
>= 3.6.0 < 3.6.13
>= 4.0.0 < 4.0.10
Medium November 23, 2020 11/23/20
>= 3.6.0 < 3.6.10
>= 4.0.0 < 4.0.5
Medium November 23, 2020 11/23/20
>= 4.0.0 < 4.0.7
Medium November 23, 2020 11/23/20
>= 4.2.0 < 4.2.2
Medium November 23, 2020 11/23/20
>= 3.6.0 < 3.6.20
>= 4.0.0 < 4.0.20
>= 4.2.0 < 4.2.9
>= 4.4.0 < 4.4.1
High November 23, 2020 11/23/20
>= 4.2.0 < 4.2.9
== 4.4.0-rc9
== 4.4.0-rc8
== 4.4.0-rc7
== 4.4.0-rc6
== 4.4.0-rc5
== 4.4.0-rc4
== 4.4.0-rc3
== 4.4.0-rc2
== 4.4.0-rc1
== 4.4.0-rc10
== 4.4.0-rc11
Medium November 23, 2020 11/23/20
>= 4.4.0 < 4.4.1
Medium August 21, 2020 8/21/20
>= 4.0 < 4.0.19
>= 4.2 < 4.2.8
>= 4.4 < 4.4.0
Low May 6, 2020 5/6/20
>= 4.2.0 < 4.2.3
>= 4.0.0 < 4.0.15
>= 3.6.0 < 3.6.18
>= 4.3.0 < 4.3.3
High August 30, 2019 8/30/19
>= 3.4.0 < 3.4.22
>= 3.6.0 < 3.6.14
>= 4.0.0 < 4.0.11
Medium August 30, 2019 8/30/19
>= 3.4.0 < 3.4.22
>= 3.6.0 < 3.6.14
>= 4.0.0 < 4.0.11
High August 6, 2019 8/6/19
>= 4.0.0 < 4.0.9
>= 3.6.0 < 3.6.13
>= 3.4.0 < 3.4.22

Showing vulnerabilities for 7 products matching "mongodb". 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.

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.