CVE-2022-0281
Published: 20 January 2022
Summary
CVE-2022-0281 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Microweber Microweber. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 4.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
CVE-2022-0281 is an exposure of sensitive information vulnerability (CWE-200) affecting the microweber/microweber package on Packagist in versions prior to 1.2.11. It carries a CVSS 3.1 base score of 7.5 with a network attack vector, low complexity, and no required privileges or user interaction, resulting in a high confidentiality impact while leaving integrity and availability unaffected.
An unauthenticated remote attacker can exploit the flaw over the network to obtain sensitive information that should otherwise remain restricted. The issue stems from insufficient access controls that allow direct retrieval of protected data without authentication.
Public references point to a corrective commit (e680e134a4215c979bfd2eaf58336be34c8fc6e6) that resolves the exposure; the recommended mitigation is therefore to upgrade microweber to version 1.2.11 or later.
The associated EPSS score rose from lower values to a peak of 0.3418 on 2025-12-11 before receding to the current 0.1862, indicating a clear post-disclosure increase in exploitation interest that warrants renewed attention.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-0511
Vulnerability details
Exposure of Sensitive Information to an Unauthorized Actor in Packagist microweber/microweber prior to 1.2.11.
- 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.