Vulnerability-Lookup

GHSA-753M-GV8Q-X327

Vulnerability from github – Published: 2023-11-01 18:30 – Updated: 2023-11-01 18:30

Details

A vulnerability in the SSL file policy implementation of Cisco Firepower Threat Defense (FTD) Software that occurs when the SSL/TLS connection is configured with a URL Category and the Snort 3 detection engine could allow an unauthenticated, remote attacker to cause the Snort 3 detection engine to unexpectedly restart. This vulnerability exists because a logic error occurs when a Snort 3 detection engine inspects an SSL/TLS connection that has either a URL Category configured on the SSL file policy or a URL Category configured on an access control policy with TLS server identity discovery enabled. Under specific, time-based constraints, an attacker could exploit this vulnerability by sending a crafted SSL/TLS connection through an affected device. A successful exploit could allow the attacker to trigger an unexpected reload of the Snort 3 detection engine, resulting in either a bypass or denial of service (DoS) condition, depending on device configuration. The Snort 3 detection engine will restart automatically. No manual intervention is required.

Severity

4.0 (Medium)


                  
                    CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:N/A:L

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{
  "affected": [],
  "aliases": [
    "CVE-2023-20177"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-244"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-11-01T17:15:11Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability in the SSL file policy implementation of Cisco Firepower Threat Defense (FTD) Software that occurs when the SSL/TLS connection is configured with a URL Category and the Snort 3 detection engine could allow an unauthenticated, remote attacker to cause the Snort 3 detection engine to unexpectedly restart. This vulnerability exists because a logic error occurs when a Snort 3 detection engine inspects an SSL/TLS connection that has either a URL Category configured on the SSL file policy or a URL Category configured on an access control policy with TLS server identity discovery enabled. Under specific, time-based constraints, an attacker could exploit this vulnerability by sending a crafted SSL/TLS connection through an affected device. A successful exploit could allow the attacker to trigger an unexpected reload of the Snort 3 detection engine, resulting in either a bypass or denial of service (DoS) condition, depending on device configuration. The Snort 3 detection engine will restart automatically. No manual intervention is required.",
  "id": "GHSA-753m-gv8q-x327",
  "modified": "2023-11-01T18:30:33Z",
  "published": "2023-11-01T18:30:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-20177"
    },
    {
      "type": "WEB",
      "url": "https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-sa-ftd-snort3-urldos-OccFQTeX"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:N/A:L",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2023-20177 (GCVE-0-2023-20177)

Vulnerability from cvelistv5 – Published: 2023-11-01 16:41 – Updated: 2024-08-02 09:05

Summary

Severity

4 (Medium)


                        
                          CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:N/A:L

CWE

CWE-244 - Improper Clearing of Heap Memory Before Release ('Heap Inspection')

Assigner

cisco mitre root

References

1 reference

URL	Tags
https://sec.cloudapps.cisco.com/security/center/c…

Impacted products

1 product

Vendor	Product	Version
Cisco	Cisco Firepower Threat Defense Software	Affected: 7.0.0 Affected: 7.0.0.1 Affected: 7.0.1 Affected: 7.0.1.1 Affected: 7.0.2 Affected: 7.0.2.1 Affected: 7.0.3 Affected: 7.0.4 Affected: 7.0.5 Affected: 7.1.0 Affected: 7.1.0.1 Affected: 7.1.0.2 Affected: 7.1.0.3 Affected: 7.2.0 Affected: 7.2.0.1 Affected: 7.2.1 Affected: 7.2.2 Affected: 7.2.3 Affected: 7.3.0 Affected: 7.3.1 Affected: 7.3.1.1

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      {
        "providerMetadata": {
          "dateUpdated": "2024-08-02T09:05:35.348Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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        "references": [
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            "name": "cisco-sa-sa-ftd-snort3-urldos-OccFQTeX",
            "tags": [
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          }
        ],
        "title": "CVE Program Container"
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    ],
    "cna": {
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          "vendor": "Cisco",
          "versions": [
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        }
      ],
      "exploits": [
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          "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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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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.