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Improper Control of Generation of Code ('Code Injection') in @asyncapi/modelina

Critical severity GitHub Reviewed Published Sep 21, 2021 in asyncapi/modelina • Updated Jan 26, 2023

Package

npm @asyncapi/modelina (npm)

Affected versions

< 1.0.0

Patched versions

1.0.0

Description

Impact

Anyone who is using the default presets and/or does not handle the functionality themself.

Patches

It is impossible to fully guard against this, because users have access to the original raw information. However, as of version 1, if you only access the constrained models, you will not encounter this issue.

Further similar situations are NOT seen as a security issue, but intended behavior.

Workarounds

Fully custom presets that change the entire rendering process which can then escape the user input.

For more information

Even though that I changed all the presets here, the vulnerability is still present throughout. I am using a JSON Schema here for simplicity.

const jsonSchemaDoc = {
  $id: 'CustomClass',
  type: 'object',
  properties: {
      'property: any; \n constructor(){console.log("injected")} \n private _temp': { type: 'string' },
  }
};
generator = new TypeScriptGenerator(
  { 
    presets: [
      {
        class: {
            property({ propertyName, content }) {
              return `private ${propertyName}: any;`;
            },
            ctor() {
              return '';
            },
            getter() {
              return '';
            },
            setter() {
              return '';
            }
        }
      }
    ]
  }
);
const inputModel = await generator.process(jsonSchemaDoc);

This would render

export class CustomClass {
  private property: any; 
   constructor(){console.log("injected")} 
   private _temp: any;
  private additionalProperties: any;
}

References

@jonaslagoni jonaslagoni published to asyncapi/modelina Sep 21, 2021
Reviewed Sep 21, 2021
Published to the GitHub Advisory Database Sep 21, 2021
Published by the National Vulnerability Database Jan 26, 2023
Last updated Jan 26, 2023

Severity

Critical

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Changed
Confidentiality
High
Integrity
High
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

EPSS score

0.113%
(46th percentile)

Weaknesses

CVE ID

CVE-2023-23619

GHSA ID

GHSA-4jg2-84c2-pj95

Source code

Credits

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