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    CVE-2026-76587

    IBM Planning Analytics 2.0 and 2.1 are vulnerable to a stack-based buffer overflow, caused by improper bounds checking. An attacker could overflow the buffer and execute arbitrary code on the system.

    Published:Oct 20, 2026
    Last Modified:Oct 23, 2026
    EPS:Oct 20, 2026
    EPSS Score:0.00596
    CVSS Score:8.8

    Affected Products

    Vendor
    Ibm
    Product
    Planning Analytics

    Exploits

    No exploit reference

    Common Weakness Enumeration

    CWE-121 Stack-based Buffer Overflow

    Common Attack Pattern Enumeration and Classification (CAPEC)

    No CAPEC recorded yet

    Related CVEs

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    CVE-2026-19620 (CVSS 8.8) — IBM Planning Analytics 2.0, and 2.1 could allow a remote attacker to gain unauthorized administrative access d…
    CVE-2026-19622 (CVSS 8.8) — IBM Planning Analytics 2.0, and 2.1 could allow a remote attacker to bypass authentication and escalate privil…
    CVE-2026-75063 (CVSS 5.4) — IBM Planning Analytics 2.0, and 2.1 could allow a remote authenticated attacker to execute arbitrary JavaScrip…
    CVE-2026-75061 (CVSS 7.5) — IBM Planning Analytics 2.0, and 2.1 could allow a remote attacker to traverse directories on the system. An at…
    CVE-2026-19627 (CVSS 8.2) — IBM Planning Analytics 2.0, and 2.1 could allow a remote attacker to read arbitrary host files and overwrite c…
    CVE-2026-85457 (CVSS 8.1) — IBM Planning Analytics 2.0, and 2.1 could allow a remote authenticated attacker to execute arbitrary code due …
    CVE-2026-13365 (CVSS 7.1) — IBM Planning Analytics 2.0, and 2.1 Local is vulnerable to cross-site request forgery which could allow an att…
    CVE-2023-42017 (CVSS 8) — IBM Planning Analytics Local 2.0 could allow a remote attacker to upload arbitrary files, caused by the improp…

    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