CVE-2026-48129

June 19, 2026, 9:16 p.m.

6.5
Medium

Description

Kestra is an open-source, event-driven orchestration platform. Prior to versions 1.3.19, 1.2.19, 1.1.19, and 1.0.43, Kestra task `inputFiles` writes rendered file names directly under the task working directory. When a flow forwards untrusted execution or webhook data into an `inputFiles` file name, a caller can use `../` path segments to create or overwrite files outside that task working directory on the worker filesystem. Versions 1.3.19, 1.2.19, 1.1.19, and 1.0.43 patch the issue.

Product(s) Impacted

Vendor Product Versions
Kestra
  • Kestra
  • <1.3.19, <1.2.19, <1.1.19, <1.0.43

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a kestra kestra <1.3.19 / / / / / / /
a kestra kestra <1.2.19 / / / / / / /
a kestra kestra <1.1.19 / / / / / / /
a kestra kestra <1.0.43 / / / / / / /

CVSS Score

6.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: HIGH
  • Availability Impact: LOW
  • CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:L

    View Vector String

Timeline

Published: June 19, 2026, 9:16 p.m.
Last Modified: June 19, 2026, 9:16 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.