Unauthenticated code execution via unrestricted eval
Published May 15, 2026 · Updated May 15, 2026
Code injection in 611711Dark MCP Calculate Server before 0.1.1 allows remote attackers to execute arbitrary Python code through MCP requests. The calculate_expression tool passes an externally supplied expression to Python eval() without restricting imports, attributes, or code syntax. No authentication or user interaction is required once the MCP endpoint is reachable, and injected code runs with the server process's privileges.
Summary
What happened
Code injection in 611711Dark MCP Calculate Server before 0.1.1 allows remote attackers to execute arbitrary Python code through MCP requests. The calculate_expression tool passes an externally supplied expression to Python eval() without restricting imports, attributes, or code syntax. No authentication or user interaction is required once the MCP endpoint is reachable, and injected code runs with the server process's privileges.
The record
- CVE
- CVE-2026-44717
- Published
- May 15, 2026
- Updated
- May 15, 2026
- Vendor
- 611711Dark
- Product
- MCP Calculate Server
- Classifications
- CWE-1427, CWE-94, T1059.006
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- May 15, 2026CVE publishedPublication date reported by the CVE source.
- May 15, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=< 0.1.1
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- GHSA proof-of-concept eval expressionsproof of concept · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
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Your stack
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