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Not in CISA KEV
HIGH severity

CVE-2025-30370 — jupyterlab-git

HIGHFix: jupyterlab/jupyterlab-git@b464829

CVE-2025-30370 is a high-severity (CVSS 7.4) OS Command Injection vulnerability in jupyterlab-git. A fix is available for jupyterlab-git — see the affected versions and patch details below.

jupyterlab-git has a command injection vulnerability in "Open Git Repository in Terminal"

Also known asGHSA-cj5w-8mjf-r5f8PYSEC-2026-1483
Published
Apr 3, 2025
Updated
Aug 12, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 23, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.

Exploitation and automatability from CISA’s SSVC triage for CVE-2025-30370.

EPSS Exploitation Probability

via FIRST.org ↗
0.6%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs47th percentile — riskier than 47% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

CVE-2025-30370 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 378,567 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

1 pkg affected
🐍jupyterlab-git

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Overview

On many platforms, a third party can create a Git repository under a name that includes a shell command substitution 1 string in the syntax $(<command>). These directory names are allowed in macOS and a majority of Linux distributions 2. If a user starts jupyter-lab in a parent directory of this inappropriately-named Git repository, opens it, and clicks "Git > Open Git Repository in Terminal" from the menu bar, then the injected command <command> is run in the user's shell without the user's permission.

This issue is occurring because when that menu entry is clicked, jupyterlab-git opens the terminal and runs cd <git-repo-path> through the shell to set the current directory 3. Doing so runs any command substitution strings present in the directory name, which leads to the command injection issue described here. A previous patch provided an incomplete fix 4.

Scope of Impact

This issue allows for arbitrary code execution via command injection. A wide range of actions are permitted by this issue, including but not limited to: modifying files, exfiltrating data, halting services, or compromising the server's security rules.

We have scanned the source code of jupyterlab-git for other command injection risks, and have not found any at the time of writing.

This issue was reproduced on the latest release of jupyterlab-git, v0.51.0. The steps taken to reproduce this issue are described in the "Proof-of-concept" section below.

Proof-of-concept

  1. Create a new directory via mkdir test/ && cd test/.

  2. Create a new Git repository under test/ with a command substitution string in the directory name by running these commands:

mkdir '$(touch pwned.txt)'
cd '$(touch pwned.txt)/'
git init
cd ..
  1. Start JupyterLab from test/ by running jupyter lab.
  2. With JupyterLab open in the browser, double click on $(touch pwned.txt) in the file browser.
  3. From the top menu bar, click "Git > Open Git Repository in Terminal".
  4. Verify that pwned.txt is created under test/. This demonstrates the command injection issue described here.

Proof-of-concept mitigation

The issue can be mitigated by the patch shown below.

<details><summary>Patch (click to expand)</summary>
diff --git a/src/commandsAndMenu.tsx b/src/commandsAndMenu.tsx
index 3779a6c..71ddcea 100644
--- a/src/commandsAndMenu.tsx
+++ b/src/commandsAndMenu.tsx
@@ -164,31 +164,13 @@ export function addCommands(
     label: trans.__('Open Git Repository in Terminal'),
     caption: trans.__('Open a New Terminal to the Git Repository'),
     execute: async args => {
-      const main = (await commands.execute(
-        'terminal:create-new',
-        args
-      )) as MainAreaWidget<ITerminal.ITerminal>;
+      const cwd = gitModel.pathRepository;
+      const main = (await commands.execute('terminal:create-new', {
+        ...args,
+        cwd
+      })) as MainAreaWidget<ITerminal.ITerminal>;
 
-      try {
-        if (gitModel.pathRepository !== null) {
-          const terminal = main.content;
-          terminal.session.send({
-            type: 'stdin',
-            content: [
-              `cd "${gitModel.pathRepository
-                .split('"')
-                .join('\\"')
-                .split('`')
-                .join('\\`')}"\n`
-            ]
-          });
-        }
-
-        return main;
-      } catch (e) {
-        console.error(e);
-        main.dispose();
-      }
+      return main;
</details>

This patch removes the cd <git-repo-path> shell command that causes the issue. To preserve the existing behavior, the cwd argument is set to <git-repo-path> when a terminal session is created via the terminal:create-new JupyterLab command. This preserves the existing application behavior while mitigating the command injection issue.

We have verified that this patch works when applied to a local installation of jupyterlab-git. We have also verified that the cwd argument is available in all versions of JupyterLab 4, so this patch should be fully backwards-compatible.

Workarounds

We recommend that users upgrade to the patched versions listed on this GHSA. However, if a user is unable to upgrade, there are 3 different ways to mitigate this vulnerability without upgrading to a patch.

  1. Disable terminals on jupyter-server level:

    c.ServerApp.terminals_enabled =  False
    
  2. Disable the terminals server extension:

    jupyter server extension disable jupyter_server_terminals
    
  3. Disable the lab extension:

    jupyter labextension disable @jupyterlab/terminal-extension
    

Footnotes

  1. https://www.gnu.org/software/bash/manual/html_node/Command-Substitution.html ↩

  2. https://www.gnu.org/software/libc/manual/html_node/File-Name-Portability.html ↩

  3. https://github.com/jupyterlab/jupyterlab-git/blob/7eb3b06f0092223bd5494688ec264527bbeb2195/src/commandsAndMenu.tsx#L175-L184 ↩

  4. https://github.com/jupyterlab/jupyterlab-git/pull/1196 ↩

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIjupyterlab-gitall versions0.51.1pip install --upgrade 'jupyterlab-git==0.51.1'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for jupyterlab-git, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update jupyterlab-git to 0.51.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2025-30370 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2025-30370 can be triaged on real exposure rather than presence alone.

Tailored to CVE-2025-30370. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

## Overview On many platforms, a third party can create a Git repository under a name that includes a shell command substitution [^1] string in the syntax `$(<command>)`. These directory names are allowed in macOS and a majority of Linux distributions [^2]. If a user starts `jupyter-lab` in a parent directory of this inappropriately-named Git repository, opens it, and clicks "Git > Open Git Repository in Terminal" from the menu bar, then the injected command `<command>` is run in the user's shell without the user's permission. This issue is occurring because when that menu entry is clicked,
O3 Security · Impact-Aware SCA

Is CVE-2025-30370 in your dependencies?

O3 Security finds CVE-2025-30370 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

CVE-2025-30370: jupyterlab-git RCE (High 7.4) | O3 Security