Unsanitized Enum Descriptions Enable Code Injection in Kiota

Kiota is an OpenAPI based HTTP Client code generator. Prior to 1.32.0, Kiota's Python generator let attacker-controlled enum value descriptions from x-ms-enum.values[].description flow through KiotaBuilder.SetEnumOptions into Documentation.DescriptionTemplate and PythonConventionService.RemoveInvalidDescriptionCharacters without newline sanitization, allowing generated inline comments to split and execute attacker-controlled Python code at module scope when generated modules were imported. This issue is fixed in version 1.32.0.

Casky was already ahead

This CVE exploits attack patterns that Casky's 322matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

Kiota is an OpenAPI-based HTTP client code generator widely used by developers to create API client libraries. This vulnerability allows attackers to inject malicious Python code through specially crafted enum value descriptions in OpenAPI specifications. When Kiota processes these attacker-controlled descriptions without proper sanitization, the injected code executes at module scope during import—before any application logic runs. This affects any developer using Kiota versions prior to 1.32.0 who processes untrusted or compromised OpenAPI schemas, particularly in CI/CD pipelines or when integrating third-party API specifications.

Casky's 322 matching skills leverage Claude's extended reasoning to correlate this attack across MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Resource Development). Practitioners would observe detection patterns including: suspicious metacharacters in OpenAPI enum descriptions that break comment syntax, code generation artifacts containing inline Python statements outside normal method definitions, and module initialization containing unexpected imports or system calls. Claude's reasoning engine connects the dots between source artifact tampering (Resource Development), code generation anomalies, and execution flow hijacking—alerting practitioners to the injection point before malicious generated code reaches production systems.

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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322 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-59862.

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mobile security · low

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MITRE ATT&CK Techniques

TA0001 TA0043

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