Vulnerability Database

365,542

Total vulnerabilities in the database

Vulnerabilities for products matching "http_server"

Found 15 matching products. Filters apply to all results.

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

apache / http_server

1978 vulnerabilities found
Title Severity Exploit Date Affected Version
High September 26, 2019 9/26/19
== 2.4.33
== 2.4.37
== 2.4.38
== 2.4.34
== 2.4.35
Medium September 25, 2019 9/25/19
>= 2.4.0 <= 2.4.39
Medium August 15, 2019 8/15/19
>= 2.4.20 <= 2.4.39
High August 13, 2019 8/13/19
>= 2.4.20 < 2.4.40
Low June 11, 2019 6/11/19
>= 2.4.34 <= 2.4.38
Medium June 11, 2019 6/11/19
>= 2.4.17 <= 2.4.38
Medium June 11, 2019 6/11/19
>= 2.4.0 <= 2.4.38
High April 8, 2019 4/8/19
>= 2.4.17 <= 2.4.38
High April 8, 2019 4/8/19
>= 2.4.0 <= 2.4.38
Medium April 8, 2019 4/8/19
== 2.4.37
== 2.4.38
Medium January 30, 2019 1/30/19
== 2.4.20
== 2.4.23
== 2.4.25
== 2.4.26
== 2.4.18
== 2.4.17
== 2.4.27
== 2.4.29
== 2.4.28
== 2.4.33
== 2.4.37
== 2.4.30
== 2.4.34
== 2.4.35
Medium January 30, 2019 1/30/19
>= 2.4.0 <= 2.4.37
High January 30, 2019 1/30/19
== 2.4.37
Low September 25, 2018 9/25/18
>= 2.4.17 <= 2.4.34
Low August 14, 2018 8/14/18
== 2.2.23
== 2.4.1
== 2.4.20
== 2.2.11
== 2.2.0
== 2.2.31
== 2.2.10
== 2.4.6
== 2.2.13
== 2.2.2
== 2.4.12
== 2.2.4
== 2.2.17
== 2.2.16
== 2.2.21
== 2.4.3
== 2.4.23
== 2.2.8
== 2.4.4
== 2.4.10
== 2.4.7
== 2.2.14
== 2.2.24
== 2.2.25
== 2.2.6
== 2.2.22
== 2.2.19
== 2.2.27
== 2.2.9
== 2.4.18
== 2.2.18
== 2.2.12
== 2.2.29
== 2.2.3
== 2.4.2
== 2.2.15
== 2.2.20
== 2.4.17
== 2.4.16
== 2.4.9
== 2.2.26
Medium July 26, 2018 7/26/18
== 2.2.15-60
Medium July 18, 2018 7/18/18
== 2.4.33
Medium June 18, 2018 6/18/18
== 2.4.33
>= 2.4.18 <= 2.4.30
Medium March 26, 2018 3/26/18
== 2.4.1
== 2.4.20
== 2.4.6
== 2.4.12
== 2.4.3
== 2.4.23
== 2.4.4
== 2.4.10
== 2.4.7
== 2.4.25
== 2.4.26
== 2.4.18
== 2.4.2
== 2.4.17
== 2.4.16
== 2.4.9
== 2.4.27
== 2.4.29
== 2.4.28
Medium March 26, 2018 3/26/18
>= 2.4.0 <= 2.4.29
Low March 26, 2018 3/26/18
>= 2.4.0 <= 2.4.29
Low March 26, 2018 3/26/18
<= 2.4.29
Low March 26, 2018 3/26/18
<= 2.4.29
Medium March 26, 2018 3/26/18
<= 2.4.29
Critical March 26, 2018 3/26/18
== 2.4.1
== 2.4.20
== 2.4.6
== 2.4.12
== 2.4.3
== 2.4.23
== 2.4.4
== 2.4.10
== 2.4.7
== 2.4.25
== 2.4.26
== 2.4.18
== 2.4.2
== 2.4.17
== 2.4.16
== 2.4.9
== 2.4.27
== 2.4.29
== 2.4.28
Low March 9, 2018 3/9/18
< 2.4.23
High September 18, 2017 9/18/17
== 2.4.1
== 2.4.20
== 2.4.6
== 2.4.0
== 2.4.12
== 2.4.3
== 2.4.23
== 2.4.4
== 2.4.10
== 2.4.7
== 2.4.25
== 2.4.26
== 2.4.18
== 2.4.2
== 2.4.17
== 2.4.16
== 2.4.9
== 2.4.27
<= 2.2.34
Medium July 27, 2017 7/27/17
== 2.4.1
== 2.4.20
== 2.4.6
== 2.4.0
== 2.4.12
== 2.4.3
== 2.4.23
== 2.4.8
== 2.4.10
== 2.4.7
== 2.4.14
== 2.4.22
== 2.4.2
== 2.4.19
== 2.4.16
== 2.4.9
== 2.4.21
Medium July 27, 2017 7/27/17
== 2.4.1
== 2.4.20
== 2.4.6
== 2.4.0
== 2.4.12
== 2.4.3
== 2.4.23
== 2.4.8
== 2.4.10
== 2.4.7
== 2.4.14
== 2.4.22
== 2.4.2
== 2.4.19
== 2.4.16
== 2.4.9
== 2.4.21
High July 27, 2017 7/27/17
>= 2.4.1 <= 2.4.23
>= 2.2.0 <= 2.2.31
Medium July 26, 2017 7/26/17
== 2.4.25
== 2.4.24
Medium July 13, 2017 7/13/17
<= 2.2.33
>= 2.4.0 <= 2.4.26
Medium July 13, 2017 7/13/17
== 2.4.26
Critical June 20, 2017 6/20/17
>= 2.2.0 < 2.2.33
>= 2.4.0 < 2.4.26
High June 20, 2017 6/20/17
== 2.2.23
== 2.4.1
== 2.4.20
== 2.2.11
== 2.2.0
== 2.2.31
== 2.2.13
== 2.2.2
== 2.4.12
== 2.2.17
== 2.2.16
== 2.2.21
== 2.4.23
== 2.4.10
== 2.2.14
== 2.2.24
== 2.2.25
== 2.2.30
== 2.2.22
== 2.2.19
== 2.2.27
== 2.4.25
== 2.4.18
== 2.2.18
== 2.2.12
== 2.2.32
== 2.2.29
== 2.2.3
== 2.4.2
== 2.2.15
== 2.2.20
== 2.4.17
== 2.4.16
== 2.2.26
High June 20, 2017 6/20/17
== 2.4.25
== 2.2.32
== 2.4.24
High June 20, 2017 6/20/17
>= 2.2.0 < 2.2.33
>= 2.4.0 < 2.4.26
Medium December 5, 2016 12/5/16
== 2.4.20
== 2.4.23
== 2.4.18
== 2.4.22
== 2.4.19
== 2.4.17
== 2.4.21
High July 19, 2016 7/19/16
>= 2.4.1 <= 2.4.23
>= 2.2.0 <= 2.2.31
Medium July 6, 2016 7/6/16
== 2.4.20
== 2.4.18
== 2.4.19
Low July 6, 2016 7/6/16
== 2.4.18
== 2.4.17
Low July 20, 2015 7/20/15
== 2.4.1
== 2.4.6
== 2.4.0
== 2.4.12
== 2.4.3
== 2.4.8
== 2.4.4
== 2.4.10
== 2.4.7
== 2.4.13
== 2.4.2
== 2.4.9
Medium July 20, 2015 7/20/15
>= 2.2.0 < 2.2.31
>= 2.4.0 < 2.4.16
Medium July 20, 2015 7/20/15
== 2.4.12
Medium March 8, 2015 3/8/15
<= 2.4.12
Low December 29, 2014 12/29/14
== 2.4.1
== 2.4.6
== 2.4.3
== 2.4.4
== 2.4.10
== 2.4.7
== 2.4.2
== 2.4.9
Medium December 15, 2014 12/15/14
== 2.4.10
Medium October 10, 2014 10/10/14
== 2.4.1
== 2.4.6
== 2.4.3
== 2.4.4
== 2.4.10
== 2.4.7
== 2.4.2
== 2.4.9
Medium July 20, 2014 7/20/14
== 2.4.1
== 2.4.2
== 2.4.3
== 2.4.4
== 2.4.6
== 2.4.7
== 2.4.8
== 2.4.9
Low July 20, 2014 7/20/14
== 2.4.6

oracle / http_server

223 vulnerabilities found
Title Severity Exploit Date Affected Version
High October 18, 2006 10/18/06
== 10.1.0.5
== 9.2.0.7
High January 26, 2006 1/26/06
== 9.0.3.1
== 9.0.1
== 1.0.2.2
== 9.1
== 8.1.7
== 9.2.0
== 9.0.2
== 1.0.2.1
== 1.0.2.0
== 1.0.2.1s_for_apps
== 9.0.2.3
== 1.0.2.2_roll_up_2
Medium December 31, 2004 12/31/04
== 9.0.1
== 8.1.7
== 9.2.0
Low March 30, 2004 3/30/04
== 9.0.1
== 8.1.7
== 9.2.0
High August 12, 2002 8/12/02
== 9.0.1
== 9.2.0
High August 12, 2002 8/12/02
== 9.0.1
== 9.2.0
Medium August 12, 2002 8/12/02
== 9.0.1
== 9.2.0
High September 19, 1997 9/19/97
<= 2.1
== 1.0
Medium July 23, 1997 7/23/97
== 2.1

Showing vulnerabilities for 15 products matching "http_server". 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.