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vulnerability / NVI-00015113 / Revision 2

MCP-for-Stata: Stata Command Injection via Unsanitized `package` in `ado_package_install`

GitHub lists this reviewed advisory for stata-mcp. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.

source listedactiveGHSA-49m4-vp58-wgc9CVE-2026-55071

This report has not inspected your inventory, configuration, deployed build, reachability or evidence. A catalog listing and a severity score do not establish exposure or compromise.

01 / Meaning

Why it matters

Published affected context helps an owner decide what evidence to gather. This report has not examined your application.

CVSS

8.4 high

GitHub source severity; exploitability and local consequence require separate evidence.

As of · GitHub Advisory Database

EPSS

0.252%

FIRST EPSS model v2026.06.15; exploitation probability over 30 days, percentile 0.16777. Missing scores are unknown.

As of · FIRST EPSS

02 / Applicability

The affected context

Affected versions, configuration prerequisites and known exclusions are public. Confirm each one against the deployed service.

stata-mcp

source listed
  • < 1.19.0

## Stata Command Injection via Unsanitized `package` in `ado_package_install` ### Summary The `ado_package_install` MCP tool in `stata-mcp` concatenates user-controlled input directly into a Stata command string without any validation or sanitization. An attacker who can invoke the MCP tool or the equivalent Python API can embed newline characters in the `package` argument to inject arbitrary Stata commands. Because Stata supports a `shell` escape command, this leads to full OS-level arbitrary command execution (RCE) under the account running the Stata-MCP server. The tool is registered in the default `all` profile, so no non-default configuration is required. Base CVSS score is **8.4 (High)**. ### Details The vulnerability originates in `SSC_Install.install()`: ```python # src/stata_mcp/stata/builtin_tools/ado_install/ssc_install.py:14-16 def install(self, package: str) -> str: install_command = f"ssc install {package}{self.REPLACE_MESSAGE}" runner_result = self.controller.run(install_command) ``` The `package` parameter is interpolated into an f-string with no allowlist check, newline rejection, or quoting. The resulting command string is forwarded to the Stata inte

GitHub Advisory Database

03 / Response

What to do next

  1. investigate

    Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.

    Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system. FIRST EPSS

A fixed release is not deployment evidence.

Check current vendor support and compatibility. After making a change, verify the deployed build and relevant runtime conditions. Keep the evidence, owner and time. An updated lockfile alone does not prove what is running.

04 / Limits

What this report cannot establish

  • Customer inventory, deployment, reachability and exploitation have not been inspected.
Read the collection and interpretation limits ↗

05 / Provenance

Sources you can inspect

Each assertion retains its source. Mirrored records may repeat one underlying publisher; additional links are not independent corroboration.

  1. GHSA-49m4-vp58-wgc9 ↗

    GitHub Advisory Database · vendor advisory

    Observed . GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.

  2. CVE-2026-55071 ↗

    FIRST EPSS · official catalog

    Observed . FIRST EPSS; probability of exploitation in the next 30 days, not local compromise. Dataset date/model retained; FIRST services terms apply.

Public revision history

Only published revisions appear here. Routine fetches do not create a material-change event.

  1. Revision 2 ·

    Dated EPSS estimate updated; this is not a new disclosure or proof of exploitation.

  2. Revision 1 ·

    First indexed by Null; source disclosure date is shown separately.

Read the public revision data ↗

The next step is private

Bring the question into your environment.

The connected workflow is a development preview for inventory, contextual matching, owner decisions and evidence-based verification. No system-specific result is generated by this page.

See the synthetic workflow preview ↗