Arbitrary Code Injection Affecting dbgpt package, versions [0,]
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learning- Snyk IDSNYK-PYTHON-DBGPT-15426547
- published5 Mar 2026
- disclosed2 Mar 2026
- creditUnknown
Introduced: 2 Mar 2026
CVE-2026-3409 (opens in a new tab)How to fix?
There is no fixed version for dbgpt.
Overview
dbgpt is a DB-GPT is an experimental open-source project that uses localized GPT large models to interact with your data and environment. With this solution, you can beassured that there is no risk of data leakage, and your data is 100% private and secure.
Affected versions of this package are vulnerable to Arbitrary Code Injection via the exec_module() function in the Flow Import Endpoint. An attacker can execute arbitrary code by sending specially crafted files to the affected endpoint.