| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.1 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in dagster-io dagster. Affected by this vulnerability is an unknown functionality. This manipulation of the argument key causes sql injection. This vulnerability is tracked as CVE-2026-41490. The attack is possible to be carried out remotely. No exploit exists. You should upgrade the affected component.
Details
A vulnerability has been found in dagster-io dagster (affected version not known) and classified as critical. Affected by this vulnerability is some unknown functionality. The manipulation of the argument key with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
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.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-41490 since 04/20/2026. The exploitation appears to be easy. The attack can be launched remotely. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
Upgrading eliminates this vulnerability. The upgrade is hosted for download at github.com.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.3
CNA Vector (GitHub_M): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: github.com
Timeline
04/20/2026 CVE reserved05/07/2026 Advisory disclosed
05/07/2026 VulDB entry created
05/07/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-mjw2-v2hm-wj34
Status: Confirmed
CVE: CVE-2026-41490 (🔒)
GCVE (CVE): GCVE-0-2026-41490
GCVE (VulDB): GCVE-100-361867
Entry
Created: 05/07/2026 16:58Changes: 05/07/2026 16:58 (64)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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