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    CVE-2024-21682

    This High severity Injection vulnerability was introduced in Assets Discovery 1.0 - 6.2.0 (all versions). Assets Discovery, which can be downloaded via Atlassian Marketplace, is a network scanning tool that can be used with or without an agent with Jira Service Management Cloud, Data Center or Server. It detects hardware and software that is connected to your local network and extracts detailed information about each asset. This data can then be imported into Assets in Jira Service Management to help you manage all of the devices and configuration items within your local network. This Injection vulnerability, with a CVSS Score of 7.2, allows an authenticated attacker to modify the actions taken by a system call which has high impact to confidentiality, high impact to integrity, high impact to availability, and requires no user interaction. Atlassian recommends that Assets Discovery customers upgrade to latest version, if you are unable to do so, upgrade your instance to one of the specified supported fixed versions See the release notes (https://confluence.atlassian.com/assetapps/assets-discovery-3-2-1-cloud-6-2-1-data_center-1333987182.html). You can download the latest version of Assets Discovery from the Atlassian Marketplace (https://marketplace.atlassian.com/apps/1214668/assets-discovery?hosting=datacenter&tab=installation). This vulnerability was reported via our Penetration Testing program.

    Published:Feb 20, 2024
    Last Modified:Apr 30, 2025
    EPS:Feb 20, 2024
    EPSS Score:0.00307
    CVSS Score:7.2

    Affected Products

    Vendor
    Atlassian
    Product
    Assets Discovery Data Center

    Exploits

    No exploit reference

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High