What is the CVSS score of CVE-2025-63603?

CVE-2025-63603 has a CVSS 3.1 base score of 6.5 (Medium). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N. EPSS exploitation probability: 2.7%.

Which versions of Python are affected by CVE-2025-63603?

CVE-2025-63603 presents notable security risk, a command injection vulnerability rated CVSS 6.5. Exploitation could allow attackers to execute code or inject malicious input.

Is there a public PoC exploit available for CVE-2025-63603?

Yes, a public proof-of-concept exploit is available for CVE-2025-63603. Prioritise patching immediately. EPSS: 2.7%.

How to fix or mitigate CVE-2025-63603?

Within 7 days: Identify affected systems and apply vendor patches promptly. Validate input sanitization for user-controlled parameters.

Python CVE-2025-63603

MEDIUM

Command Injection (CWE-77)

2025-11-18 cve@mitre.org

Python Command Injection Mcp Server For Data Exploration

6.5

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

6.5 MEDIUM

AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

Low

Integrity

Low

Availability

None

Lifecycle Timeline

Analysis Generated

Mar 28, 2026 - 19:22 vuln.today

PoC Detected

Jan 02, 2026 - 20:38 vuln.today

Public exploit code

CVE Published

Nov 18, 2025 - 16:15 nvd

MEDIUM 6.5

DescriptionCVE.org

A command injection vulnerability exists in the MCP Data Science Server's (reading-plus-ai/mcp-server-data-exploration) 0.1.6 in the safe_eval() function (src/mcp_server_ds/server.py:108). The function uses Python's exec() to execute user-supplied scripts but fails to restrict the __builtins__ dictionary in the globals parameter. When __builtins__ is not explicitly defined, Python automatically provides access to all built-in functions including __import__, exec, eval, and open. This allows an attacker to execute arbitrary Python code with full system privileges, leading to complete system compromise. The vulnerability can be exploited by submitting a malicious script to the run_script tool, requiring no authentication or special privileges.

AnalysisAI

A command injection vulnerability exists in the MCP Data Science Server's (reading-plus-ai/mcp-server-data-exploration) 0.1.6 in the safe_eval() function (src/mcp_server_ds/server.py:108). Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified as Command Injection (CWE-77), which allows attackers to inject arbitrary commands into system command execution. A command injection vulnerability exists in the MCP Data Science Server's (reading-plus-ai/mcp-server-data-exploration) 0.1.6 in the safe_eval() function (src/mcp_server_ds/server.py:108). The function uses Python's exec() to execute user-supplied scripts but fails to restrict the __builtins__ dictionary in the globals parameter. When __builtins__ is not explicitly defined, Python automatically provides access to all built-in functions including __import__, exec, eval, and open. This allows an attacker to execute arbitrary Python code with full system privileges, leading to complete system compromise. The vulnerability can be exploited by submitting a malicious script to the run_script tool, requiring no authentication or special privileges. Affected products include: Mcp Server For Data Exploration Project Mcp Server For Data Exploration.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Use parameterized APIs, avoid shell execution, validate input with strict allowlists.