Vulnerability Database

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Total vulnerabilities in the database

Kiota: Code Generation Literal Injection — kiota

Improper Control of Generation of Code ('Code Injection')

Code Generation Literal Injection in Kiota

Summary

Kiota versions prior to 1.31.1 are affected by a code-generation literal injection vulnerability in multiple writer sinks (for example: serialization/deserialization keys, path/query parameter mappings, URL template metadata, enum/property metadata, and default value emission).

When malicious values from an OpenAPI description are emitted into generated source without context-appropriate escaping, an attacker can break out of string literals and inject additional code into generated clients.

Impact and Preconditions

This issue is only practically exploitable when:

  1. the OpenAPI description used for generation is from an untrusted source, or
  2. a normally trusted OpenAPI description has been compromised/tampered with.

If you only generate from trusted, integrity-protected API descriptions, risk is significantly reduced.

Affected Versions

  • Affected: all versions < 1.31.1
  • Fixed: 1.31.1 and later

Illustrative Exploit Example

Example OpenAPI fragment (malicious default value)

openapi: 3.0.1 info: title: Exploit Demo version: 1.0.0 components: schemas: User: type: object properties: displayName: type: string default: &quot;\&quot;; throw new System.Exception(\&quot;injected\&quot;); //&quot;

Example generated C# snippet before fix (illustrative)

public User() { DisplayName = &quot;&quot;; throw new System.Exception(&quot;injected&quot;); //&quot;; }

The injected payload escapes the intended string context and introduces attacker-controlled statements in generated code.

> Note: this exploit is not limited to default values, but may also impact properties names (serialization), path or query parameters, enum representations and other locations.

Remediation

  1. Upgrade Kiota to 1.31.1 or later.
  2. Regenerate/refresh existing generated clients as a precaution:
kiota update

Refreshing generated clients ensures previously generated vulnerable code is replaced with hardened output.

Acknowledgement

We would like to thank the researcher Thanatos Tian (Polyu) for finding this issue and for his contribution to this open source project.

  • Published: Apr 14, 2026
  • Updated: Apr 15, 2026
  • GHSA: GHSA-2hx3-vp6r-mg3f
  • Severity: High
  • Exploit:
  • CISA KEV:

No technical information available.

CWEs:

Frequently Asked Questions

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CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. In practice, risk increases sharply when exploitation becomes reliable or widespread.

Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.

Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

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