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https://issues.apache.org/jira/browse/MATH-1182?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14257597#comment-14257597
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Bernd Eckenfels commented on MATH-1182:
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I think this is a false positive. If you need a scanner tool to analyse code,
you also need to understand where the code is used for what. As the text
suggests this is only a problem for security relevant code. Using FastMath for
security relevant (i.e. crypto/nonces) code would be an error (but not one in
FastMath but in your code).
> BUG - Insufficient Entropy in Commons-math3-3.3
> -----------------------------------------------
>
> Key: MATH-1182
> URL: https://issues.apache.org/jira/browse/MATH-1182
> Project: Commons Math
> Issue Type: Bug
> Affects Versions: 3.3
> Reporter: David Camilo Espitia Manrique
> Fix For: 3.3
>
> Original Estimate: 120h
> Remaining Estimate: 120h
>
> We are currently using Commons-math3-3.3 and in the analysis for veracode,
> found this bug in these class:
> 1. FastMath.java (Line 813)
> 2. SynchronizedRandomGenerator.java (Line 78 and Line 85)
> 3. UniformIntegerDistribution.java (Line 164 and Line 172)
> 4. RandomAdaptor.java (Line 143 and 159)
> Type : Insufficient Entropy
> Description:
> Standard random number generators do not provide a sufficient amount of
> entropy when used for security purposes.
> Attackers can brute force the output of pseudorandom number generators such
> as rand().
> Recommendations:
> If this random number is used where security is a concern, such as generating
> a session key or session identifier, use
> a trusted cryptographic random number generator instead. These can be found
> on the Windows platform in the
> CryptoAPI or in an open source library such as OpenSSL.
> Thanks.
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