CVE-2016-9738
Description
IBM QRadar 7.2 and 7.3 does not require that users should have strong passwords by default, which makes it easier for attackers to compromise user accounts. IBM X-Force ID: 119783.
AI Insight
LLM-synthesized narrative grounded in this CVE's description and references.
IBM QRadar SIEM 7.2 and 7.3 do not enforce strong passwords by default, making user accounts easier to compromise via brute-force or guessing attacks.
Vulnerability
IBM QRadar SIEM versions 7.2.0 through 7.2.8 Patch 6 and 7.3.0 through 7.3.0 Patch 1 do not require users to have strong passwords by default [1]. This means that the product does not enforce password complexity or length policies out of the box, allowing users to set weak passwords that are vulnerable to automated guessing or brute-force attacks [1].
Exploitation
An attacker can exploit this weakness by performing a remote brute-force or password guessing attack against QRadar user accounts [1]. The attack is network-based, requires no authentication or user interaction, but does require high attack complexity due to the need for successful guessing across the network [1]. The attacker can use common password lists or automated tools to attempt to authenticate as legitimate users.
Impact
Successful exploitation allows the attacker to compromise user accounts, leading to a loss of confidentiality [1]. The attacker gains the privileges of the compromised user account, which could include access to sensitive security event data and administrative functions if a privileged account is compromised [1]. The CVSS vector indicates the impact is solely on confidentiality (C:H / I:N / A:N) [1].
Mitigation
According to the advisory, a fix is not provided as a direct patch [1]. Instead, administrators are expected to configure password policies within QRadar to enforce strong passwords manually [1]. The advisory states "Workarounds and Mitigations: None," meaning no official patch or workaround is available from IBM; however, the product does support custom password policies that can be implemented by administrators [1].
AI Insight generated on May 22, 2026. Synthesized from this CVE's description and the cited reference URLs; citations are validated against the source bundle.
Affected products
2- Range: 7.2
Patches
0No patches discovered yet.
Vulnerability mechanics
AI mechanics synthesis has not run for this CVE yet.
References
3- www.ibm.com/support/docview.wssnvdPatchVendor Advisory
- www.securityfocus.com/bid/99266nvdThird Party AdvisoryVDB Entry
- exchange.xforce.ibmcloud.com/vulnerabilities/119783nvdVendor Advisory
News mentions
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