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CVE-2020-3317 (GCVE-0-2020-3317)

Vulnerability from cvelistv5 – Published: 2020-10-21 18:36 – Updated: 2024-11-13 17:47
VLAI
Title
Cisco Firepower Threat Defense Software SSL Input Validation Denial of Service Vulnerability
Summary
A vulnerability in the ssl_inspection component of Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to crash Snort instances. The vulnerability is due to insufficient input validation in the ssl_inspection component. An attacker could exploit this vulnerability by sending a malformed TLS packet through a Cisco Adaptive Security Appliance (ASA). A successful exploit could allow the attacker to crash a Snort instance, resulting in a denial of service (DoS) condition.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-13 17:12 UTC
CWE
References
URL Tags
https://tools.cisco.com/security/center/content/C… vendor-advisoryx_refsource_CISCO
Impacted products
Vendor Product Version CPE status
Cisco Cisco Firepower Threat Defense Software Affected: n/a
guessed Create a notification for this product.
Date Public
2020-10-21 00:00
Show details on NVD website

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                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "NONE",
                "baseScore": 5.8,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "NONE",
                "integrityImpact": "LOW",
                "privilegesRequired": "NONE",
                "scope": "CHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:L/A:N",
                "version": "3.0"
              }
            }
          ],
          "problemTypes": [
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                  "cweId": "CWE-20",
                  "description": "CWE-20",
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                  "type": "CWE"
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              ]
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          ],
          "providerMetadata": {
            "dateUpdated": "2020-10-21T18:36:43.000Z",
            "orgId": "d1c1063e-7a18-46af-9102-31f8928bc633",
            "shortName": "cisco"
          },
          "references": [
            {
              "name": "20201021 Cisco Firepower Threat Defense Software SSL Input Validation Denial of Service Vulnerability",
              "tags": [
                "vendor-advisory",
                "x_refsource_CISCO"
              ],
              "url": "https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-ftd-ssl-mf3822Z"
            }
          ],
          "source": {
            "advisory": "cisco-sa-ftd-ssl-mf3822Z",
            "defect": [
              [
                "CSCvs28290"
              ]
            ],
            "discovery": "INTERNAL"
          },
          "title": "Cisco Firepower Threat Defense Software SSL Input Validation Denial of Service Vulnerability",
          "x_legacyV4Record": {
            "CVE_data_meta": {
              "ASSIGNER": "psirt@cisco.com",
              "DATE_PUBLIC": "2020-10-21T16:00:00",
              "ID": "CVE-2020-3317",
              "STATE": "PUBLIC",
              "TITLE": "Cisco Firepower Threat Defense Software SSL Input Validation Denial of Service Vulnerability"
            },
            "affects": {
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                "vendor_data": [
                  {
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                        {
                          "product_name": "Cisco Firepower Threat Defense Software",
                          "version": {
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                    "vendor_name": "Cisco"
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              }
            },
            "data_format": "MITRE",
            "data_type": "CVE",
            "data_version": "4.0",
            "description": {
              "description_data": [
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                  "lang": "eng",
                  "value": "A vulnerability in the ssl_inspection component of Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to crash Snort instances. The vulnerability is due to insufficient input validation in the ssl_inspection component. An attacker could exploit this vulnerability by sending a malformed TLS packet through a Cisco Adaptive Security Appliance (ASA). A successful exploit could allow the attacker to crash a Snort instance, resulting in a denial of service (DoS) condition."
                }
              ]
            },
            "exploit": [
              {
                "lang": "en",
                "value": "The Cisco Product Security Incident Response Team (PSIRT) is not aware of any public announcements or malicious use of the vulnerability that is described in this advisory."
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                }
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        "datePublished": "2020-10-21T18:36:43.291Z",
        "dateReserved": "2019-12-12T00:00:00.000Z",
        "dateUpdated": "2024-11-13T17:47:57.743Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Detection rules are retrieved from Rulezet.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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