Security Bulletin: A vulnerability in Apache Log4j (CVE-2021-45046) impacts IBM® QRadar User Behavior Analytics add on to IBM® QRadar SIEM.

Summary There is a vulnerability in Apache Log4j which is used by IBM® QRadar User Behavior AnalyticsUBA to log system events. Vulnerability Details CVEID: CVE-2021-45046 DESCRIPTION: Apache Log4j could result in remote code execution, caused by an incomplete fix of CVE-2021-44228 in certain...

Security Bulletin: Log4j as used in IBM® QRadar User Behavior Analytics application add on to IBM® QRadar SIEM is vulnerable to remote code execution (RCE) (CVE-2021-44228)

Summary Log4j is used by IBM® QRadar User Behavior Analytics application to log system events. This bulletin provides a remediation for the vulnerability, CVE-2021-44228 by upgrading IBM® QRadar User Behavior Analytics application add on to IBM® QRadar SIEM and thus addressing the exposure to the...

CVE-2021-29757

IBM QRadar User Behavior Analytics 4.1.1 is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts. IBM X-Force ID: 202168...

Cross site request forgery (csrf)

IBM QRadar User Behavior Analytics 4.1.1 is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts. IBM X-Force ID: 202168...

CVE-2021-29757

IBM QRadar User Behavior Analytics 4.1.1 is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts. IBM X-Force ID: 202168...

CVE-2021-29757

CVE-2021-29757 affects IBM QRadar User Behavior Analytics (UBA) add-on for QRadar SIEM. A cross-site request forgery (CSRF) vulnerability exists due to improper CSRF checking in some components, enabling attackers to perform malicious, authorized actions from a trusted user’s session. The IBM bul...

IBM QRadar User Behavior Analytics Cross-Site Request Forgery Vulnerability

IBM QRadar User Behavior Analytics UBA is a user behavior analysis software from IBM, USA. User activity can be analyzed to detect suspicious insiders and determine if user credentials have been stolen. Security analysts can easily view at-risk users, examine their anomalous activity, and drill...

PT-2021-18456

Name of the Vulnerable Software and Affected Versions IBM QRadar User Behavior Analytics version 4.1.1 Description The issue allows an attacker to execute malicious and unauthorized actions by exploiting cross-site request forgery. This could be done by transmitting actions from a user that the...

CVE-2021-29757: Cross-Site Request Forgery (CSRF)

IBM QRadar User Behavior Analytics 4.1.1 is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts. IBM X-Force ID: 202168...

Security Bulletin: User Behavior Analytics application add on to IBM QRadar SIEM performs improper CSRF checking for some components ( CVE-2021-29757)

Summary User Behavior Analytics application add on to IBM QRadar SIEM performs improper CSRF checking for some components. Vulnerability Details CVEID: CVE-2021-29757 DESCRIPTION: IBM QRadar User Behavior Analytics is vulnerable to cross-site request forgery which could allow an attacker to execu...

Zero Trust Adoption Report: How does your organization compare?

From the wide adoption of cloud-based services to the proliferation of mobile devices. From the emergence of advanced new cyberthreats to the recent sudden shift to remote work. The last decade has been full of disruptions that have required organizations to adapt and accelerate their security...

[Whitepaper] XDR vs. NDR/NTA – What do Organizations Truly Need to Stay Safe?

Security teams whose organizations are outside the Fortune 500 are faced with a dilemma. Most teams will have to choose between deploying either a network traffic analysis NTA or network detection and response NDR tool or an endpoint detection and response EDR tool to supplement their existing...

IBM QRadar User Behavior Analytics Information Disclosure Vulnerability

IBM QRadar SIEM is an IBM USA solution that utilizes security intelligence to protect assets and information from advanced threats. The solution provides oversight of the entire scope of the IT architecture, generates detailed reports on data access and user activity, and more. An information...

CVE-2021-20429

IBM QRadar User Behavior Analytics 1.0.0 through 4.1.0 could disclose sensitive information due an overly permissive cross-domain policy. IBM X-Force ID: 196334...

CVE-2021-20391

IBM QRadar User Behavior Analytics 1.0.0 through 4.1.0 allows web pages to be stored locally which can be read by another user on the system. IBM X-Force ID: 195999...

CVE-2021-20429

IBM QRadar User Behavior Analytics 1.0.0 through 4.1.0 could disclose sensitive information due an overly permissive cross-domain policy. IBM X-Force ID: 196334...

CVE-2021-20391

IBM QRadar User Behavior Analytics 1.0.0 through 4.1.0 allows web pages to be stored locally which can be read by another user on the system. IBM X-Force ID: 195999...

CVE-2021-20392

IBM QRadar User Behavior Analytics 1.0.0 through 4.0.1 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...

CVE-2021-20393

IBM QRadar User Behavior Analytics 1.0.0 through 4.1.0 could allow a remote attacker to obtain sensitive information when a detailed technical error message is returned in the browser. This information could be used in further attacks against the system. IBM X-Force ID: 196001...

CVE-2021-20392

IBM QRadar User Behavior Analytics 1.0.0 through 4.0.1 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...