Data Risk Manager
CVE-2020-4621
HIGH
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V8 - Authorization Authorization logic validation
MITRE ATT&CK
1 technique across 1 tactic: Privilege Escalation The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Impact | CVSS score of 8.8 (HIGH). Attack characteristics: network attack vector, low complexity, low privileges required, no user interaction not required. |
| Exploit ScenarioDerived | A remote attacker could bypass authorization checks to access restricted resources by sending crafted requests to the affected application. |
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Alert meAnalysisAI
IBM Data Risk Manager (iDNA) 2.0.6 could allow an authenticated user to escalate their privileges to administrator due to insufficient authorization checks. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity. This Incorrect Authorization vulnerability could allow attackers to bypass authorization checks to access restricted resources.
RemediationAI
A vendor patch is available. Apply the latest security update as soon as possible. Review and test authorization logic, implement consistent access control checks, use centralized authorization framework.
Affects your stack
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Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
This vulnerability is classified as Incorrect Authorization (CWE-863), which allows attackers to bypass authorization checks to access restricted resources. IBM Data Risk Manager (iDNA) 2.0.6 could allow an authenticated user to escalate their privileges to administrator due to insufficient authorization checks. IBM X-Force ID: 184981. Affected products include: Ibm Data Risk Manager.
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Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
DescriptionNVD
IBM Data Risk Manager (iDNA) 2.0.6 could allow an authenticated user to escalate their privileges to administrator due to insufficient authorization checks. IBM X-Force ID: 184981.
Threat Intelligence Overview
NVD
CVE.org
EPSS
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Authentication bypass attacks exploit flaws in the verification mechanisms that control access to systems and applications.
Affected Products (CPE)NVD
More in Data Risk Manager
View allIBM Data Risk Manager 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.0.5, and 2.0.6 contains a default password for an IDRM administrativ
IBM Data Risk Manager 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.0.5, and 2.0.6 could allow a remote attacker to bypass security rest
IBM Data Risk Manager 2.0.1, 2.0.2, 2.0.3, and 2.0.4 could allow a remote authenticated attacker to execute arbitrary co
IBM Data Risk Manager (iDNA) 2.0.6 could allow a remote authenticated attacker to upload arbitrary files, caused by the
IBM Data Risk Manager (iDNA) 2.0.6 could allow an authenticated user to bypass security and execute actions reserved for
IBM Data Risk Manager (iDNA) 2.0.6 is vulnerable to cross-site request forgery which could allow an attacker to execute
IBM Data Risk Manager (iDNA) 2.0.6 uses weaker than expected cryptographic algorithms that could allow an attacker to de
IBM Data Risk Manager (iDNA) 2.0.6 contains hard-coded credentials, such as a password or cryptographic key, which it us
IBM Data Risk Manager (iDNA) 2.0.6 uses weaker than expected cryptographic algorithms that could allow an attacker to de
IBM Data Risk Manager (iDNA) 2.0.6 uses weaker than expected cryptographic algorithms that could allow an attacker to de
IBM Data Risk Manager 2.0.6 stores user credentials in plain clear text which can be read by an authenticated user. Rate
IBM Data Risk Manager (iDNA) 2.0.6 stores user credentials in plain in clear text which can be read by an authenticated
GitHub PoC
Exploit-DB