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DICOM Viewer #13
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DICOM Viewer #13
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| // Create DICOM header with proper tags | ||
| createDicomHeader(imageData, metadata = {}) { | ||
| const now = moment(); | ||
| const studyUID = this.generateUID(); | 
Check failure
Code scanning / CodeQL
Insecure randomness High
Math.random()
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| createDicomHeader(imageData, metadata = {}) { | ||
| const now = moment(); | ||
| const studyUID = this.generateUID(); | ||
| const seriesUID = this.generateUID(); | 
Check failure
Code scanning / CodeQL
Insecure randomness High
Math.random()
          
            
              
                
              
            
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AI 4 months ago
To fix the issue, we need to replace the use of Math.random() with a cryptographically secure random number generator. In Node.js, the crypto module provides a secure method for generating random bytes. We can use crypto.randomBytes to generate a secure random number and ensure that the UIDs are unpredictable.
The generateUID method will be updated to use crypto.randomBytes to generate a random component. The random bytes will be converted to a hexadecimal string to ensure compatibility with the UID format.
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| @@ -2,2 +2,3 @@ | ||
| import { get } from 'lodash'; | ||
| import crypto from 'crypto'; | ||
| import moment from 'moment'; | ||
| @@ -14,3 +15,3 @@ | ||
| const timestamp = Date.now(); | ||
| const random = Math.floor(Math.random() * 1000000); | ||
| const random = crypto.randomBytes(6).toString('hex'); // Generate 6 random bytes and convert to hex | ||
| return `${prefix}${timestamp}.${random}`; | 
| const now = moment(); | ||
| const studyUID = this.generateUID(); | ||
| const seriesUID = this.generateUID(); | ||
| const instanceUID = this.generateUID(); | 
Check failure
Code scanning / CodeQL
Insecure randomness High
Math.random()
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|  | ||
| return { | ||
| // Study level | ||
| studyInstanceUID: generateUID(), | 
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Code scanning / CodeQL
Insecure randomness High
Math.random()
          
            
              
                
              
            
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AI 4 months ago
To fix the issue, we will replace the use of Math.random() in the generateUID() function with a cryptographically secure random number generator. In Node.js, the crypto module provides a secure way to generate random values. Specifically, we will use crypto.randomBytes() to generate a random number. This ensures that the generated UIDs are unpredictable and secure.
The changes will involve:
- Importing the cryptomodule at the top of the file.
- Modifying the generateUID()function to usecrypto.randomBytes()instead ofMath.random().
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| @@ -3,2 +3,3 @@ | ||
| import { Studies, Series, Instances } from '../lib/collections'; | ||
| import crypto from 'crypto'; | ||
|  | ||
| @@ -265,3 +266,3 @@ | ||
| const timestamp = Date.now(); | ||
| const random = Math.floor(Math.random() * 100000); | ||
| const random = parseInt(crypto.randomBytes(4).toString('hex'), 16); | ||
| return `${prefix}.${timestamp}.${random}`; | 
| studyDescription: 'Test Study', | ||
|  | ||
| // Series level | ||
| seriesInstanceUID: generateUID(), | 
Check failure
Code scanning / CodeQL
Insecure randomness High
Math.random()
          
            
              
                
              
            
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      Copilot Autofix
AI 4 months ago
To fix the issue, replace the use of Math.random() with a cryptographically secure random number generator. In Node.js, the crypto module provides a secure method for generating random bytes. Specifically, crypto.randomBytes can be used to generate random values securely. The fix involves modifying the generateUID() function to use crypto.randomBytes for generating the random component of the UID.
Steps to implement the fix:
- Import the cryptomodule at the top of the file.
- Replace the Math.random()logic ingenerateUID()withcrypto.randomBytesto generate a secure random number.
- Ensure the generated random number is formatted appropriately for inclusion in the UID.
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    Copy modified lines R267-R268 
| @@ -1,2 +1,3 @@ | ||
| import { Meteor } from 'meteor/meteor'; | ||
| import crypto from 'crypto'; | ||
| import { get } from 'lodash'; | ||
| @@ -265,3 +266,4 @@ | ||
| const timestamp = Date.now(); | ||
| const random = Math.floor(Math.random() * 100000); | ||
| const randomBytes = crypto.randomBytes(4); // Generate 4 random bytes | ||
| const random = parseInt(randomBytes.toString('hex'), 16); // Convert to a large integer | ||
| return `${prefix}.${timestamp}.${random}`; | 
| seriesDescription: 'Test Series', | ||
|  | ||
| // Instance level | ||
| sopInstanceUID: generateUID(), | 
Check failure
Code scanning / CodeQL
Insecure randomness High
Math.random()
          
            
              
                
              
            
            Show autofix suggestion
            Hide autofix suggestion
          
      Copilot Autofix
AI 4 months ago
To fix the issue, replace the use of Math.random() with a cryptographically secure random number generator. In Node.js, the crypto module provides a secure method for generating random values. Specifically, crypto.randomBytes can be used to generate random bytes, which can then be converted into a number or string as needed.
The generateUID() function should be updated to use crypto.randomBytes to generate the random component of the UID. This ensures that the generated UIDs are unpredictable and secure. The changes will involve importing the crypto module and modifying the generateUID() function.
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    Copy modified line R2 
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    Copy modified lines R267-R268 
| @@ -1,2 +1,3 @@ | ||
| import { Meteor } from 'meteor/meteor'; | ||
| import crypto from 'crypto'; | ||
| import { get } from 'lodash'; | ||
| @@ -265,3 +266,4 @@ | ||
| const timestamp = Date.now(); | ||
| const random = Math.floor(Math.random() * 100000); | ||
| const randomBytes = crypto.randomBytes(6); // Generate 6 random bytes | ||
| const random = parseInt(randomBytes.toString('hex'), 16); // Convert to a large random number | ||
| return `${prefix}.${timestamp}.${random}`; | 
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