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VulnerabilityPublished

CVE-2026-41490: dagster · SQL Injection

Affects dagsterSource CVE Database V5

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Not known to be exploited · CVSS 8.3 High : upgrade to 1.13.1 soon.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.1 base score
8.3High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 18% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.13.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 7 May 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: evidence found.

    Public exploit code: GitHub proofs of concept

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), GitHub proofs of concept, the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Upgrade dagster to 1.13.1.

Affected software

ProductAffectedFixed in
dagster-iodagsterAffected
  • dagster < 1.13.1 – dagster-snowflake-polars < 0.29.1
6 affected builds
Fixed in–
PyPIdagsterpkg:pypi/dagsterOther threatsAffected
  • <1.13.1
Fixed in
  • 1.13.1

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

A fix is available in Dagster Core version 1.13.1 and Dagster libraries version 0.29.1. Users should upgrade to these or later versions to remediate the vulnerability. Since this is a cloud-hosted service, the vendor manages remediation for the cloud environment; users should verify with the vendor advisory for their deployment. No additional mitigation steps are indicated by the vendor advisory.

Description

Dagster is an orchestration platform for the development, production, and observation of data assets. Prior to Dagster Core version 1.13.1 and prior to Dagster libraries version 0.29.1, the DuckDB, Snowflake, BigQuery, and DeltaLake I/O managers constructed SQL WHERE clauses by interpolating dynamic partition key values into queries without escaping. A user with the Add Dynamic Partitions permission could create a partition key that injects arbitrary SQL, which would execute against the target database backend under the I/O manager's credentials. Only deployments that use dynamic partitions are affected. Pipelines using static or time-window partitions are not impacted. This issue has been patched in Dagster Core version 1.13.1 and Dagster libraries version 0.29.1.

References

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