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    CVE-2020-4367

    IBM Planning Analytics Local 2.0 uses weaker than expected cryptographic algorithms that could allow an attacker to decrypt highly sensitive information. IBM X-Force ID: 179001.

    Published:Jun 2, 2020
    Last Modified:Nov 21, 2024
    EPS:Jun 2, 2020
    EPSS Score:0.00112
    CVSS Score:7.5

    Affected Products

    Vendor
    Ibm
    Product
    Planning Analytics Local

    Exploits

    No exploit reference

    Related CVEs

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    CVE-2026-10545 (CVSS 7.5) — IBM Planning Analytics Local 2.1.0 through 2.1.21 is vulnerable to an open redirect that allows an attacker to…
    CVE-2026-1267 (CVSS 6.5) — IBM Planning Analytics Local 2.1.0 through 2.1.17 could allow an unauthorized access to sensitive application …
    CVE-2025-14806 (CVSS 5.7) — IBM Planning Analytics Local 2.1.0 through 2.1.17 could allow an attacker to trick the caching mechanism into …
    CVE-2025-36437 (CVSS 4.3) — IBM Planning Analytics Local 2.1.0 - 2.1.15 could disclose sensitive information about server architecture tha…
    CVE-2025-36299 (CVSS 4.3) — IBM Planning Analytics Local 2.1.0 through 2.1.14 stores sensitive information in source code could be used in…
    CVE-2025-36357 (CVSS 8) — IBM Planning Analytics Local 2.1.0 through 2.1.14 could allow a remote authenticated user to traverse director…
    CVE-2025-36262 (CVSS 4.9) — IBM Planning Analytics Local 2.0.0 through 2.0.106 and 2.1.0 through 2.1.13 could allow a malicious privileg…
    CVE-2025-36132 (CVSS 5.4) — IBM Planning Analytics Local 2.0.0 through 2.0.106 and 2.1.0 through 2.1.13 is vulnerable to cross-site script…
    CVE-2025-33005 (CVSS 6.3) — IBM Planning Analytics Local 2.0 and 2.1 does not invalidate session after a logout which could allow an authe…

    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