CVE-2026-43824 (GCVE-0-2026-43824)

Vulnerability from cvelistv5 – Published: 2026-05-02 01:20 – Updated: 2026-07-15 00:55
VLAI
Summary
In Argo CD 3.2.0 before 3.2.11 and 3.3.0 before 3.3.9, ServerSideDiff allows reading cleartext Kubernetes Secret data.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-04 13:32 UTC
CWE
  • CWE-212 - Improper Removal of Sensitive Information Before Storage or Transfer
  • CWE-312 - Cleartext Storage of Sensitive Information
Impacted products
Vendor Product Version
argoproj Argo CD Affected: 3.2.0 , < 3.2.11 (semver)
Affected: 3.3.0 , < 3.3.9 (semver)
    cpe:2.3:a:argoproj:argo_cd:*:*:*:*:*:*:*:*
    cpe:2.3:a:argoproj:argo_cd:*:*:*:*:*:*:*:*
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Red Hat Red Hat Openshift Data Foundation 4     cpe:/a:redhat:openshift_data_foundation:4
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Red Hat Red Hat OpenShift GitOps     cpe:/a:redhat:openshift_gitops:1
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Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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