InjectionWeakness · CWE-74

CVE-2026-6603

HIGH · 7.3 CVSS v3.1 Published 2026-04-20
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
82/100
Remediation priority · High
Remotely reachable No privileges Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
A vulnerability was determined in modelscope agentscope up to 1.0.18. Affected by this vulnerability is the function execute_python_code/execute_shell_command of the file src/AgentScope/tool/_coding/_python.py. This manipulation causes code injection. The attack is possible to be carried out remotely. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · moderate confidence

Code injection vulnerability in AgentScope's Python tool allows remote attackers to execute arbitrary code through the execute_python_code/execute_shell_command functions in src/AgentScope/tool/_coding/_python.py. The vulnerability stems from insufficient input sanitization before passing user-controlled data to code execution functions.

MitigationImplement strict input validation and sanitization for all code passed to execute_python_code/execute_shell_command functions. Consider deploying a sandboxed execution environment with restricted permissions and whitelisted allowed operations. Monitor for any patch releases from the vendor.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
Low

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify AgentScope installation and version
    Run 'pip show agentscope' or 'pip list | grep agentscope' to find the installed version. If not installed via pip, search for the agentscope directory in your Python environment.
    Affected if The installed version falls within an unpatched range (any version prior to vendor fix).
  2. Locate the vulnerable module file
    Search for the file 'src/AgentScope/tool/_coding/_python.py' in your installation directory. Use 'find /path/to/site-packages -name _python.py -path "*agentscope*"' or check your AgentScope installation path.
    Affected if The file exists and contains the execute_python_code or execute_shell_command functions, indicating the vulnerable code is present.
  3. Inspect the execute_python_code function
    Open the _python.py file and examine the execute_python_code function. Look for input validation or sanitization on the 'code' parameter before execution.
    Affected if The function directly passes user-controlled input to exec(), eval(), or similar code execution primitives without adequate sanitization.
  4. Verify exposure of code execution functions
    Check if execute_python_code or execute_shell_command are exposed through API endpoints, web interfaces, or can be called with untrusted user input. Review your AgentScope deployment configuration and any exposed service interfaces.
    Affected if These functions are accessible to untrusted users or external systems without proper input validation guards.

You are affected if AgentScope is installed with the vulnerable _python.py module containing unsanitized execute_python_code/execute_shell_command functions that can be invoked with user-controlled input.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Implement strict input validation and sanitization for all code passed to execute_python_code/execute_shell_command functions. Consider deploying a sandboxed execution environment with restricted permissions and whitelisted allowed operations. Monitor for any patch releases from the vendor.

Have this fixed Scoped from the published advisory
  • Consultation4.0 h
  • Implementation12.0 h
  • Testing8.0 h
  • Review / QA4.0 h
28.0 hours of engineering $4,880
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2026-6603 in production — separate from our analysis above.

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
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  • Version or environment caveats, and links to real fixes
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