Vulnerabilities for products matching "http_server"
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/product/http_server/1.2.3
apache / http_server
344 vulnerabilities found| Title | Severity | Exploit | Date | Affected versions |
|---|---|---|---|---|
|
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Critical | September 16, 2021 9/16/21 |
< 2.4.49
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Critical | September 16, 2021 9/16/21 |
<= 2.4.48
|
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|
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High | August 16, 2021 8/16/21 |
>= 2.4.17, < 2.4.49
|
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|
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High | June 15, 2021 6/15/21 |
= 1.15.17
= 2.4.47
|
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|
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Medium | June 10, 2021 6/10/21 |
>= 2.4.6, <= 2.4.46
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Medium | June 10, 2021 6/10/21 |
>= 2.4.0, <= 2.4.46
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High | June 10, 2021 6/10/21 |
>= 2.4.41, <= 2.4.46
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High | June 10, 2021 6/10/21 |
>= 2.4.0, <= 2.4.46
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|
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High | June 10, 2021 6/10/21 |
>= 2.4.0, <= 2.4.46
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Critical | June 10, 2021 6/10/21 |
>= 2.4.0, <= 2.4.46
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|
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Medium | June 10, 2021 6/10/21 |
>= 2.4.39, <= 2.4.46
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High | August 7, 2020 8/7/20 |
>= 2.4.20, < 2.4.46
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Critical | August 7, 2020 8/7/20 |
>= 2.4.32, <= 2.4.43
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Medium | August 7, 2020 8/7/20 |
>= 2.4.1, <= 2.4.23
|
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High | August 7, 2020 8/7/20 |
>= 2.4.20, < 2.4.44
|
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Medium | April 2, 2020 4/2/20 |
>= 2.4.0, <= 2.4.41
|
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Medium | April 1, 2020 4/1/20 |
>= 2.4.0, <= 2.4.41
|
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Critical | September 26, 2019 9/26/19 |
>= 2.4.18, <= 2.4.39
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Medium | September 26, 2019 9/26/19 |
>= 2.4.0, <= 2.4.39
|
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High | September 26, 2019 9/26/19 |
= 2.4.33
= 2.4.34
= 2.4.35
= 2.4.37
= 2.4.38
|
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Medium | September 25, 2019 9/25/19 |
>= 2.4.0, <= 2.4.39
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Medium | August 15, 2019 8/15/19 |
>= 2.4.20, <= 2.4.39
|
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High | August 13, 2019 8/13/19 |
>= 2.4.20, < 2.4.40
|
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|
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Medium | June 11, 2019 6/11/19 |
>= 2.4.34, <= 2.4.38
|
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Medium | June 11, 2019 6/11/19 |
>= 2.4.17, <= 2.4.38
|
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Medium | June 11, 2019 6/11/19 |
>= 2.4.0, <= 2.4.38
|
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High | April 8, 2019 4/8/19 |
>= 2.4.17, <= 2.4.38
|
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High | April 8, 2019 4/8/19 |
>= 2.4.0, <= 2.4.38
|
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Medium | April 8, 2019 4/8/19 |
= 2.4.37
= 2.4.38
|
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|
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Medium | January 30, 2019 1/30/19 |
= 2.4.17
= 2.4.18
= 2.4.20
= 2.4.23
= 2.4.25
= 2.4.26
= 2.4.27
= 2.4.28
= 2.4.29
= 2.4.30
= 2.4.33
= 2.4.34
= 2.4.35
= 2.4.37
|
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|
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Medium | January 30, 2019 1/30/19 |
>= 2.4.0, <= 2.4.37
|
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High | January 30, 2019 1/30/19 |
= 2.4.37
|
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|
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Medium | September 25, 2018 9/25/18 |
>= 2.4.17, <= 2.4.34
|
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|
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Medium | August 14, 2018 8/14/18 |
= 2.2.0
= 2.2.2
= 2.2.3
= 2.2.4
= 2.2.6
= 2.2.8
= 2.2.9
= 2.2.10
= 2.2.11
= 2.2.12
= 2.2.13
= 2.2.14
= 2.2.15
= 2.2.16
= 2.2.17
= 2.2.18
= 2.2.19
= 2.2.20
= 2.2.21
= 2.2.22
= 2.2.23
= 2.2.24
= 2.2.25
= 2.2.26
= 2.2.27
= 2.2.29
= 2.2.31
= 2.4.1
= 2.4.2
= 2.4.3
= 2.4.4
= 2.4.6
= 2.4.7
= 2.4.9
= 2.4.10
= 2.4.12
= 2.4.16
= 2.4.17
= 2.4.18
= 2.4.20
= 2.4.23
|
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Medium | July 26, 2018 7/26/18 |
= 2.2.15-60
|
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Medium | July 18, 2018 7/18/18 |
= 2.4.33
|
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Medium | June 18, 2018 6/18/18 |
>= 2.4.18, <= 2.4.30
= 2.4.33
|
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Medium | March 26, 2018 3/26/18 |
= 2.4.1
= 2.4.2
= 2.4.3
= 2.4.4
= 2.4.6
= 2.4.7
= 2.4.9
= 2.4.10
= 2.4.12
= 2.4.16
= 2.4.17
= 2.4.18
= 2.4.20
= 2.4.23
= 2.4.25
= 2.4.26
= 2.4.27
= 2.4.28
= 2.4.29
|
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Medium | March 26, 2018 3/26/18 |
>= 2.4.0, <= 2.4.29
|
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Low | March 26, 2018 3/26/18 |
>= 2.4.0, <= 2.4.29
|
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|
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Medium | March 26, 2018 3/26/18 |
<= 2.4.29
|
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|
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Medium | March 26, 2018 3/26/18 |
<= 2.4.29
|
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Medium | March 26, 2018 3/26/18 |
<= 2.4.29
|
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|
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Critical | March 26, 2018 3/26/18 |
= 2.4.1
= 2.4.2
= 2.4.3
= 2.4.4
= 2.4.6
= 2.4.7
= 2.4.9
= 2.4.10
= 2.4.12
= 2.4.16
= 2.4.17
= 2.4.18
= 2.4.20
= 2.4.23
= 2.4.25
= 2.4.26
= 2.4.27
= 2.4.28
= 2.4.29
|
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|
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Low | March 9, 2018 3/9/18 |
< 2.4.23
|
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|
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High | September 18, 2017 9/18/17 |
<= 2.2.34
= 2.4.0
= 2.4.1
= 2.4.2
= 2.4.3
= 2.4.4
= 2.4.6
= 2.4.7
= 2.4.9
= 2.4.10
= 2.4.12
= 2.4.16
= 2.4.17
= 2.4.18
= 2.4.20
= 2.4.23
= 2.4.25
= 2.4.26
= 2.4.27
|
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|
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Medium | July 27, 2017 7/27/17 |
= 2.4.0
= 2.4.1
= 2.4.2
= 2.4.3
= 2.4.6
= 2.4.7
= 2.4.8
= 2.4.9
= 2.4.10
= 2.4.12
= 2.4.14
= 2.4.16
= 2.4.19
= 2.4.20
= 2.4.21
= 2.4.22
= 2.4.23
|
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|
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Medium | July 27, 2017 7/27/17 |
= 2.4.0
= 2.4.1
= 2.4.2
= 2.4.3
= 2.4.6
= 2.4.7
= 2.4.8
= 2.4.9
= 2.4.10
= 2.4.12
= 2.4.14
= 2.4.16
= 2.4.19
= 2.4.20
= 2.4.21
= 2.4.22
= 2.4.23
|
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|
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High | July 27, 2017 7/27/17 |
>= 2.2.0, <= 2.2.31
>= 2.4.1, <= 2.4.23
|
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|
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Medium | July 26, 2017 7/26/17 |
= 2.4.24
= 2.4.25
|
oracle / http_server
115 vulnerabilities found| Title | Severity | Exploit | Date | Affected versions |
|---|---|---|---|---|
|
|
Low | January 17, 2007 1/17/07 |
= 9.0.1.5
|
|
|
|
High | October 18, 2006 10/18/06 |
= 9.2.0.7
|
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|
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High | October 18, 2006 10/18/06 |
= 9.2.0.7
|
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|
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High | October 18, 2006 10/18/06 |
= 9.2.0.7
|
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|
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High | October 18, 2006 10/18/06 |
= 9.2.0.7
|
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|
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High | October 18, 2006 10/18/06 |
= 9.2.0.7
|
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|
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High | October 18, 2006 10/18/06 |
= 9.2.0.7
= 10.1.0.5
|
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High | January 26, 2006 1/26/06 |
= 1.0.2.0
= 1.0.2.1
= 1.0.2.1s_for_apps
= 1.0.2.2
= 1.0.2.2_roll_up_2
= 8.1.7
= 9.0.1
= 9.0.2
= 9.0.2.3
= 9.0.3.1
= 9.1
= 9.2.0
|
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Medium | December 31, 2004 12/31/04 |
= 8.1.7
= 9.0.1
= 9.2.0
|
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Low | March 30, 2004 3/30/04 |
= 8.1.7
= 9.0.1
= 9.2.0
|
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High | August 12, 2002 8/12/02 |
= 9.0.1
= 9.2.0
|
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High | August 12, 2002 8/12/02 |
= 9.0.1
= 9.2.0
|
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Medium | August 12, 2002 8/12/02 |
= 9.0.1
= 9.2.0
|
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High | September 19, 1997 9/19/97 |
<= 2.1
= 1.0
|
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Medium | July 23, 1997 7/23/97 |
= 2.1
|
Showing vulnerabilities for 15 products matching "http_server". 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.
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