Exploit for CVE-2026-111058

CVE-2026-111058+CVE-2026-111057-mercury-rce Mercury unauth RC...

Mercury: Unauthenticated Remote Code Execution via /api/kernels

Mercury runs a JupyterLab server with anonymous access by default mercuryapp/main.py sets --IdentityProvider.token='' when no --token/MERCURYTOKEN is given; when tokenless it also sets --ServerApp.disablecheckxsrf=True. It relies on a blocklist mercuryapp/blockhandler.py BLOCKEDPATTERNS: /lab,...

GHSA-RV4M-XM3F-3CCQ Mercury: Unauthenticated Remote Code Execution via /api/kernels

Mercury runs a JupyterLab server with anonymous access by default mercuryapp/main.py sets --IdentityProvider.token='' when no --token/MERCURYTOKEN is given; when tokenless it also sets --ServerApp.disablecheckxsrf=True. It relies on a blocklist mercuryapp/blockhandler.py BLOCKEDPATTERNS: /lab,...

CVE-2026-111058

Mercury is a Python framework for sharing Jupyter notebooks as web applications and dashboards. Prior to 3.2.6, default tokenless deployments allow anonymous clients to create Jupyter kernels and send executerequest messages containing arbitrary Python. The endpoint blocklist does not cover...

EUVD-2026-104420

Mercury is a Python framework for sharing Jupyter notebooks as web applications and dashboards. Prior to 3.2.6, default tokenless deployments allow anonymous clients to create Jupyter kernels and send executerequest messages containing arbitrary Python. The endpoint blocklist does not cover...

CVE-2026-111058 Mercury: Unauthenticated Remote Code Execution via /api/kernels

Mercury is a Python framework for sharing Jupyter notebooks as web applications and dashboards. Prior to 3.2.6, default tokenless deployments allow anonymous clients to create Jupyter kernels and send executerequest messages containing arbitrary Python. The endpoint blocklist does not cover...

CVE-2026-111058 Mercury: Unauthenticated Remote Code Execution via /api/kernels

Mercury is a Python framework for sharing Jupyter notebooks as web applications and dashboards. Prior to 3.2.6, default tokenless deployments allow anonymous clients to create Jupyter kernels and send executerequest messages containing arbitrary Python. The endpoint blocklist does not cover...

CVE-2026-111058

The Mercury Python framework (prior to version 3.2.6 ) contains a vulnerability where default tokenless deployments allow anonymous clients to create Jupyter kernels. Attackers can send execute_request messages containing arbitrary Python code because the endpoint blocklist fails to cover /api/ke...

CVE-2026-111058 Mercury: Unauthenticated Remote Code Execution via /api/kernels

Mercury is a Python framework for sharing Jupyter notebooks as web applications and dashboards. Prior to 3.2.6, default tokenless deployments allow anonymous clients to create Jupyter kernels and send executerequest messages containing arbitrary Python. The endpoint blocklist does not cover...

CVE-2026-111058: Missing Authorization

Mercury is a Python framework for sharing Jupyter notebooks as web applications and dashboards. Prior to 3.2.6, default tokenless deployments allow anonymous clients to create Jupyter kernels and send executerequest messages containing arbitrary Python. The endpoint blocklist does not cover...

PT-2026-118003

Mercury runs a JupyterLab server with anonymous access by default mercury app/ main .py sets --IdentityProvider.token='' when no --token/MERCURY TOKEN is given; when tokenless it also sets --ServerApp.disable check xsrf=True. It relies on a blocklist mercury app/block handler.py BLOCKED PATTERNS:...

MLJAR Mercury authorization issue vulnerability

The MLJAR mercury version prior to 3.2.6 has an authorization issue vulnerability. This vulnerability stems from the default lack of token deployment, allowing anonymous clients to create Jupyter kernels and send executerequest messages containing arbitrary Python code. Additionally, the endpoint...

PT-2026-117481

Name of the Vulnerable Software and Affected Versions Mercury versions prior to 3.2.6 Description Default tokenless deployments allow anonymous clients to achieve remote code execution by creating Jupyter kernels and sending execute request messages containing arbitrary Python code. The issue...