Cyber Resilience

CVE-2021-20393

High

Published: 14 May 2021

Published
14 May 2021
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.0027 50.8th percentile
Risk Priority 15 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2021-20393 is a high-severity Generation of Error Message Containing Sensitive Information (CWE-209) vulnerability in Ibm Qradar User Behavior Analytics. Its CVSS base score is 7.5 (High).

Operationally, ranked in the top 49.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

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…

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X-Force ID: 196001.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

ibm
qradar user behavior analytics
1.0.0 — 4.1.1

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-209

Detects error messages that leak sensitive information as evidence of disclosure.

addresses: CWE-209

The control directly mitigates generation of error messages containing sensitive authentication details by requiring obscured feedback instead of verbose responses.

addresses: CWE-209

Misdirection allows generation of misleading error messages that withhold or falsify sensitive details.

addresses: CWE-209

Explicitly requires error messages to avoid including sensitive or exploitable details while still supporting corrective action.

addresses: CWE-209

Validation ensures error messages contain only expected, non-sensitive content and blocks leakage via verbose errors.

addresses: CWE-209

Fail-safe procedures can be defined to suppress or sanitize error output, reducing generation of messages that contain sensitive information.

References