VYPR

Qradar Advisor

by IBM

CVEs (7)

  • CVE-2021-20380HigJun 3, 2021
    risk 0.49cvss 7.5epss 0.01

    IBM QRadar Advisor With Watson App 1.1 through 2.5 as used on IBM QRadar SIEM 7.4 could allow a remote user to obtain sensitive information from HTTP requests that could aid in further attacks against the system. IBM X-Force ID: 195712.

  • CVE-2019-4557HigFeb 25, 2020
    risk 0.49cvss 7.5epss 0.01

    IBM Qradar Advisor 1.1 through 2.5 with Watson uses weaker than expected cryptographic algorithms that could allow an attacker to decrypt highly sensitive information. IBM X-Force ID: 166206.

  • CVE-2019-4556MedNov 9, 2019
    risk 0.42cvss 6.5epss 0.01

    IBM QRadar Advisor 1.0.0 through 2.4.0 uses incomplete blacklisting for input validation which allows attackers to bypass application controls resulting in direct impact to the system and data integrity. IBM X-Force ID: 166205.

  • CVE-2021-38896MedOct 20, 2021
    risk 0.40cvss 6.1epss 0.01

    IBM QRadar Advisor 2.5 through 2.6.1 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM…

  • CVE-2019-4672MedFeb 25, 2020
    risk 0.35cvss 5.3epss 0.01

    IBM QRadar Advisor 1.1 through 2.5 could allow an unauthorized attacker to obtain sensitive information from specially crafted HTTP requests that could aid in further attacks against the system. IBM X-Force ID: 171438.

  • CVE-2020-4408MedJul 27, 2020
    risk 0.30cvss 4.6epss 0.00

    The IBM QRadar Advisor 1.1 through 2.5.2 with Watson App for IBM QRadar SIEM does not adequately mask all passwords during input, which could be obtained by a physical attacker nearby. IBM X-Force ID: 179536.

  • CVE-2024-49822MedMar 18, 2025
    risk 0.27cvss 4.1epss 0.00

    IBM QRadar Advisor 1.0.0 through 2.6.5 is vulnerable to server-side request forgery (SSRF). This may allow an authenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks.