Vulnerability Database

328,409

Total vulnerabilities in the database

Vulnerabilities for products matching "firepower_extensible_operating_system"

Found 1 matching product.

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

cisco / firepower_extensible_operating_system

52 vulnerabilities found
Title Severity Exploit Date Affected Version
Medium February 29, 2024 2/29/24
== 2.10.1.159
== 2.10.1.166
== 2.10.1.179
== 2.10.1.207
== 2.10.1.234
== 2.10.1.245
== 2.10.1.271
== 2.11.1.154
== 2.11.1.182
== 2.11.1.200
== 2.11.1.205
== 2.12.0.31
== 2.12.0.432
== 2.12.0.450
== 2.12.0.467
== 2.12.0.498
== 2.12.1.29
== 2.12.1.48
== 2.13.0.198
== 2.13.0.212
== 2.13.0.243
== 2.14.1.131
== 2.2.1.63
== 2.2.1.66
== 2.2.1.70
== 2.2.2.101
== 2.2.2.137
== 2.2.2.148
== 2.2.2.149
== 2.2.2.17
== 2.2.2.19
== 2.2.2.24
== 2.2.2.26
== 2.2.2.28
== 2.2.2.54
== 2.2.2.60
== 2.2.2.71
== 2.2.2.83
== 2.2.2.86
== 2.2.2.91
== 2.2.2.97
== 2.3.1.110
== 2.3.1.111
== 2.3.1.130
== 2.3.1.144
== 2.3.1.145
== 2.3.1.155
== 2.3.1.166
== 2.3.1.173
== 2.3.1.179
== 2.3.1.180
== 2.3.1.190
== 2.3.1.215
== 2.3.1.216
== 2.3.1.219
== 2.3.1.230
== 2.3.1.56
== 2.3.1.58
== 2.3.1.66
== 2.3.1.73
== 2.3.1.75
== 2.3.1.88
== 2.3.1.91
== 2.3.1.93
== 2.3.1.99
== 2.6.1.131
== 2.6.1.157
== 2.6.1.166
== 2.6.1.169
== 2.6.1.174
== 2.6.1.187
== 2.6.1.192
== 2.6.1.204
== 2.6.1.214
== 2.6.1.224
== 2.6.1.229
== 2.6.1.230
== 2.6.1.238
== 2.6.1.239
== 2.6.1.254
== 2.6.1.259
== 2.6.1.264
== 2.6.1.265
== 2.8.1.105
== 2.8.1.125
== 2.8.1.139
== 2.8.1.143
== 2.8.1.152
== 2.8.1.162
== 2.8.1.164
== 2.8.1.172
== 2.8.1.186
== 2.8.1.190
== 2.8.1.198
== 2.9.1.131
== 2.9.1.135
== 2.9.1.143
== 2.9.1.150
== 2.9.1.158
Medium November 15, 2022 11/15/22
== 2.0.1.68
== 2.0.1.201
== 2.0.1.86
== 2.0.1.37
== 2.0.1.135
== 2.0.1.141
== 2.0.1.144
== 2.0.1.148
== 2.0.1.149
== 2.0.1.153
== 2.0.1.159
== 2.0.1.188
== 2.0.1.203
== 2.0.1.204
== 2.0.1.206
== 2.1.1.64
== 2.1.1.73
== 2.1.1.77
== 2.1.1.83
== 2.1.1.85
== 2.1.1.86
== 2.1.1.97
== 2.1.1.106
== 2.1.1.107
== 2.1.1.113
== 2.1.1.115
== 2.1.1.116
== 1.1.1.147
== 1.1.1.160
== 1.1.2.51
== 1.1.2.178
== 1.1.3.84
== 1.1.3.86
== 1.1.3.97
== 1.1.4.95
== 1.1.4.117
== 1.1.4.140
== 1.1.4.169
== 1.1.4.175
== 1.1.4.178
== 1.1.4.179
== 2.2.1.63
== 2.2.1.66
== 2.2.1.70
== 2.2.2.17
== 2.2.2.19
== 2.2.2.24
== 2.2.2.26
== 2.2.2.28
== 2.2.2.54
== 2.2.2.60
== 2.2.2.71
== 2.2.2.83
== 2.2.2.86
== 2.2.2.91
== 2.2.2.97
== 2.2.2.101
== 2.2.2.137
== 2.2.2.148
== 2.2.2.149
== 2.3.1.99
== 2.3.1.93
== 2.3.1.91
== 2.3.1.88
== 2.3.1.75
== 2.3.1.73
== 2.3.1.66
== 2.3.1.58
== 2.3.1.130
== 2.3.1.111
== 2.3.1.110
== 2.3.1.144
== 2.3.1.145
== 2.3.1.155
== 2.3.1.166
== 2.3.1.173
== 2.3.1.179
== 2.3.1.180
== 2.3.1.56
== 2.3.1.190
== 2.3.1.215
== 2.3.1.216
== 2.3.1.219
== 2.4.1.101
== 2.4.1.214
== 2.4.1.222
== 2.4.1.234
== 2.4.1.238
== 2.4.1.244
== 2.4.1.249
== 2.4.1.252
== 2.4.1.266
== 2.4.1.268
== 2.4.1.273
== 2.6.1.131
== 2.6.1.157
== 2.6.1.166
== 2.6.1.169
== 2.6.1.174
== 2.6.1.187
== 2.6.1.192
== 2.6.1.204
== 2.6.1.214
== 2.6.1.224
== 2.6.1.229
== 2.6.1.230
== 2.6.1.238
== 2.6.1.239
== 2.6.1.254
== 2.7.1.92
== 2.7.1.98
== 2.7.1.106
== 2.7.1.122
== 2.7.1.131
== 2.7.1.143
== 2.8.1.105
== 2.8.1.125
== 2.8.1.139
== 2.8.1.143
== 2.8.1.152
== 2.8.1.162
== 2.8.1.164
== 2.8.1.172
== 2.9.1.131
== 2.9.1.135
== 2.9.1.143
== 2.9.1.150
== 2.9.1.158
== 2.10.1.159
== 2.10.1.166
== 2.10.1.179
== 2.11.1.154
Low February 23, 2022 2/23/22
< 2.3.1.219
>= 2.4 < 2.9.1.158
>= 2.10 < 2.10.1.179
High September 23, 2021 9/23/21
<= 8.4\(3.115\)
<= 7.0\(3\)i7\(9\)
<= 7.3\(8\)n1\(1\)
<= 3.2\(3o\)a
<= 4.1\(1a\)a
High February 24, 2021 2/24/21
== r231
High October 21, 2020 10/21/20
< 2.4.1.268
>= 2.6 < 2.6.1.214
>= 2.7 < 2.7.1.131
High October 21, 2020 10/21/20
== 2.4(1.249)
Medium October 21, 2020 10/21/20
>= 2.4 < 2.4.1.266
>= 2.6 < 2.6.1.204
>= 2.7 < 2.7.1.131
>= 2.8 < 2.8.1.125
High October 21, 2020 10/21/20
< 2.4.1.266
>= 2.6 < 2.6.1.204
>= 2.7 < 2.7.1.131
>= 2.8 < 2.8.1.125
Medium September 4, 2020 9/4/20
<= 2.3.1.58
High August 27, 2020 8/27/20
>= 1.1 < 1.1.4.179
>= 2.0 < 2.0.1.153
>= 2.1 < 2.1.1.86
>= 2.2 < 2.2.1.70
High February 26, 2020 2/26/20
< 2.6.1.187
>= 2.7 < 2.7.1.106
Medium February 26, 2020 2/26/20
>= 2.2 < 2.2.2.97
>= 2.3 < 2.3.1.144
>= 2.4 < 2.4.1.234
High February 26, 2020 2/26/20
< 2.4.1.234
Medium February 26, 2020 2/26/20
< 2.2.2.97
>= 2.3 < 2.3.1.155
>= 2.4 < 2.4.1.238
>= 2.6 < 2.6.1.157
Medium February 5, 2020 2/5/20
<= 2.3.1.173
>= 2.6 < 2.6.1.187
>= 2.7 < 2.7.1.106
Medium November 5, 2019 11/5/19
< 2.2.2.91
>= 2.3 < 2.3.1.111
>= 2.4 < 2.4.1.101
Medium October 2, 2019 10/2/19
<= 2.2
>= 2.3 < 2.3.1.155
>= 2.4 < 2.6.1.131
High October 2, 2019 10/2/19
>= 2.0 < 2.2.2.101
>= 2.3 < 2.3.1.155
>= 2.4 < 2.4.1.238
Medium May 16, 2019 5/16/19
< 2.3.1.130
>= 2.4 < 2.4.1.122
High May 16, 2019 5/16/19
>= 2.6 < 2.6.1.131
Medium May 15, 2019 5/15/19
< 2.0.1.201
>= 2.1 < 2.2.2.54
>= 2.3 < 2.3.1.73
>= 2.4 < 2.4.1.101
Medium May 15, 2019 5/15/19
< 2.4.1.101
Low March 7, 2019 3/7/19
>= 1.1 < 2.2.2.91
>= 2.3 < 2.3.1.110
High March 7, 2019 3/7/19
>= 2.3 < 2.3.1.75
>= 2.1 < 2.2.2.54
< 2.0.1.201
High March 7, 2019 3/7/19
>= 2.2.2.54.x < 2.3.1.75
>= 2.0.1.201.x < 2.2.2.54
< 2.0.1.201
Low October 17, 2018 10/17/18
== r231
Medium June 21, 2018 6/21/18
>= 1.1 < 2.0.1.153
>= 2.1.1 < 2.1.1.86
>= 2.2.1 < 2.2.1.70
High June 21, 2018 6/21/18
>= 1.1 < 1.1.4.179
>= 2.0 < 2.0.1.153
>= 2.1.1 < 2.1.1.86
>= 2.2.1 < 2.2.1.70
>= 2.2.2 < 2.2.2.17
High June 21, 2018 6/21/18
>= 1.1 < 1.1.4.179
>= 2.0 < 2.0.1.153
>= 2.1.1 < 2.1.1.86
>= 2.2.1 < 2.2.1.70
>= 2.2.2 < 2.2.2.17
High June 21, 2018 6/21/18
>= 1.1 < 1.1.4.179
>= 2.0 < 2.0.1.153
>= 2.1.1 < 2.1.1.86
>= 2.2.1 < 2.2.1.70
>= 2.2.2 < 2.2.2.17
High June 21, 2018 6/21/18
>= 1.1 < 1.1.4.169
>= 2.0 < 2.0.1.135
High June 21, 2018 6/21/18
>= 1.1 < 1.1.4.169
>= 2.0 < 2.0.1.135
>= 1.1 < 1.1.4.179
>= 2.0 < 2.0.1.153
High June 20, 2018 6/20/18
>= 2.1.1 < 2.1.1.86
>= 2.2 < 2.2.2.17
Medium November 16, 2017 11/16/17
== 2.2(1.58)
High November 2, 2017 11/2/17
<= 1.1.3
== 1.1.4
== 2.0.1
Medium October 19, 2017 10/19/17
<= 2.3
High April 7, 2017 4/7/17
== 2.0(1.68)
High April 7, 2017 4/7/17
== 2.0(1.68)
High April 7, 2017 4/7/17
== 2.0(1.68)
Low April 7, 2017 4/7/17
== 2.0(1.68)
Low April 7, 2017 4/7/17
== 2.0(1.68)
High January 22, 2016 1/22/16
== 1.1(1.86)
== 1.1(1.160)
== 1.1.1
Medium November 24, 2015 11/24/15
== 1.1(1.160)
Low November 19, 2015 11/19/15
== 1.1(1.160)
Low November 19, 2015 11/19/15
== 1.1(1.160)
High November 19, 2015 11/19/15
== 1.1(1.160)
Low November 19, 2015 11/19/15
== 1.1(1.160)
Medium November 19, 2015 11/19/15
== 1.1(1.160)
Medium November 18, 2015 11/18/15
== 1.1(1.160)

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.