CVE-2024-20359

April 24, 2024, 7:58 p.m.

6.0
Medium

Description

A vulnerability in a legacy capability that allowed for the preloading of VPN clients and plug-ins and that has been available in Cisco Adaptive Security Appliance (ASA) Software and Cisco Firepower Threat Defense (FTD) Software could allow an authenticated, local attacker to execute arbitrary code with root-level privileges. Administrator-level privileges are required to exploit this vulnerability. This vulnerability is due to improper validation of a file when it is read from system flash memory. An attacker could exploit this vulnerability by copying a crafted file to the disk0: file system of an affected device. A successful exploit could allow the attacker to execute arbitrary code on the affected device after the next reload of the device, which could alter system behavior. Because the injected code could persist across device reboots, Cisco has raised the Security Impact Rating (SIR) of this advisory from Medium to High.

Product(s) Impacted

Product Versions
Cisco Adaptive Security Appliance (ASA) Software
Cisco Firepower Threat Defense (FTD) Software

Weaknesses

Common security weaknesses mapped to this vulnerability.

Tags

CVSS Score

6.0 / 10

CVSS Data - 3.1

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Privileges Required: HIGH
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: NONE
  • CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:N

    View Vector String

Timeline

Published: April 24, 2024, 7:15 p.m.
Last Modified: April 24, 2024, 7:58 p.m.

Status : Awaiting Analysis

CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.

More info

Source

ykramarz@cisco.com

Relations

Here is the list of observables linked to the vulnerability CVE-2024-20359 using threat intelligence.

  • UAT4356
  • Line Dancer
  • Line Runner

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.