CVE-2026-28407
malcontent is software for discovering supply-chain compromises through context, differential analysis, and YARA.
Published Feb 27, 2026 · updated Jun 17, 2026 · chainguard malcontent
malcontent is software for discovering supply-chain compromises through context, differential analysis, and YARA. Prior to version 1.21.0, malcontent would remove nested archives which failed to extract which could potentially leave malicious content. A better approach is to preserve these archives so that malcontent can attempt a best-effort scan of the archive bytes. Version 1.21.0 fixes the issue.
Code
The project this record applies to. Exploit listings stay in References.
Timeline
Detection, updates, and resolution for this record.
Feb 27, 2026 · NIST NVD
Detected
malcontent is software for discovering supply-chain compromises through context, differential analysis, and YARA. Prior to version 1.21.0, malcontent would remove nested archives which failed to extract which could potentially leave malicious content. A better approach is to preserve these archives so that malcontent can attempt a best-effort scan of the archive bytes. Version 1.21.0 fixes the iss
Jun 17, 2026 · NIST NVD
Updated
malcontent is software for discovering supply-chain compromises through context, differential analysis, and YARA. Prior to version 1.21.0, malcontent would remove nested archives which failed to extract which could potentially leave malicious content. A better approach is to preserve these archives so that malcontent can attempt a best-effort scan of the archive bytes. Version 1.21.0 fixes the iss
Affected
- cpe chainguard/malcontentversion unspecified
Sources
- CVE.orgVulnerability recordCVE-2026-28407
Official CVE identifier
cve.org - NIST NVDVulnerability recordCVE-2026-28407
malcontent is software for discovering supply-chain compromises through context, differential analysis, and YARA. Prior to version 1.21.0, malcontent would remove nested archives which failed to extract which could potentially leave malicious content. A better approach is to pres
nvd.nist.gov