CVE-2022-42439
Published: 06 February 2023
Summary
CVE-2022-42439 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Ibm App Connect Enterprise Certified Container. Its CVSS base score is 6.8 (Medium).
Operationally, ranked at the 48.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-45512
Vulnerability details
IBM App Connect Enterprise 11.0.0.17 through 11.0.0.19 and 12.0.4.0 and 12.0.5.0 contains an unspecified vulnerability in the Discovery Connector nodes which may cause a 3rd party system’s credentials to be exposed to a privileged attacker. IBM X-Force ID: 238211.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
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.
Monitoring directly detects unauthorized disclosure of sensitive information, enabling response to exposures.
Coordinating audit logging across organizational boundaries reduces the risk of sensitive audit data being exposed to unauthorized actors during transmission.
A data action map identifies locations where sensitive information may be exposed to unauthorized actors during processing or transfer.
The control's identification, isolation, alerting, and eradication steps directly limit the impact and exploitation window of unauthorized sensitive information exposure.
Requiring organization-defined processing conditions on specific PII categories directly reduces the chance that personal data will be exposed to unauthorized actors.
The assessment process surfaces design decisions that could expose sensitive (including PII) data to unauthorized actors, prompting controls that reduce such exposure.
Directly prevents exposure of critical organizational information by applying OPSEC processes across the SDLC.
Filtering output to only permitted content stops unintended disclosure of sensitive information to unauthorized actors.