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This pull request introduces a new CodeQL query for detecting prompt injection vulnerabilities in Python code targeting AI prompting APIs such as agents and openai. The changes includes a new experimental query, new taint flow and type models, a customizable dataflow configuration, documentation, and comprehensive test coverage.
21 lines
605 B
Plaintext
21 lines
605 B
Plaintext
/**
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* @name Prompt injection
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* @kind path-problem
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* @problem.severity error
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* @security-severity 5.0
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* @precision high
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* @id py/prompt-injection
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* @tags security
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* experimental
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* external/cwe/cwe-1427
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*/
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import python
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import experimental.semmle.python.security.dataflow.PromptInjectionQuery
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import PromptInjectionFlow::PathGraph
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from PromptInjectionFlow::PathNode source, PromptInjectionFlow::PathNode sink
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where PromptInjectionFlow::flowPath(source, sink)
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select sink.getNode(), source, sink, "This prompt construction depends on a $@.", source.getNode(),
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"user-provided value"
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