CVE-2021-22786
Published: 01 February 2023
Summary
CVE-2021-22786 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Schneider-Electric Modicon M340 Bmxp341000 Firmware. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 44.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2021-9921
Vulnerability details
A CWE-200: Information Exposure vulnerability exists that could cause the exposure of sensitive information stored on the memory of the controller when communicating over the Modbus TCP protocol. Affected Products: Modicon M340 CPU (part numbers BMXP34*) (Versions prior to V3.30),…
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Modicon M580 CPU (part numbers BMEP* and BMEH*) (Versions prior to SV3.20), Modicon MC80 (BMKC80) (Versions prior to V1.6), Modicon M580 CPU Safety (part numbers BMEP58*S and BMEH58*S) (All Versions), Modicon Momentum MDI (171CBU*) (Versions prior to V2.3), Legacy Modicon Quantum (All Versions)
- 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.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.