CVE-2017-16028: Cryptographically Weak PRNG in randomatic
Summary
CVE-2017-16028: Cryptographically Weak PRNG in randomatic. Affects randomatic versions < 3.0.0. Fixed in 3.0.0. How to fix ↓
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Background
The randomatic package is an npm package that generates random values. It is commonly used in applications that require random string generation, such as password generators or unique identifier creation. The package utilizes a pseudo-random number generator (PRNG) to generate these random values. However, certain versions of randomatic have been found to use a cryptographically weak PRNG, which can result in predictable values instead of truly random ones.
Vulnerability Detail
The vulnerability in randomatic arises from the use of a weak PRNG. This means that the generated random values are not truly random and can be predicted or guessed by an attacker. This can have serious security implications, especially in applications where random values are used for cryptographic purposes or to ensure uniqueness. An attacker who can predict the random values generated by randomatic may be able to bypass security measures or launch targeted attacks.
How To Fix
Minimum fixed version
3.0.0
This is the first release that contains the fix.
npm install randomatic@3.0.0Tip — Not sure which version your app runs? Vulert can match this fix to it. Scan free →
Workaround
There is no specific workaround mentioned for this vulnerability. The best course of action is to update to the latest version of the randomatic package.
Conclusion
The randomatic package has a vulnerability that stems from the use of a weak pseudo-random number generator. This can result in predictable random values, which can have serious security implications. To mitigate this vulnerability, it is crucial to update to version 3.0.0 or later of the package. For further support on vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for randomatic →
FAQ
randomatic is an npm package used for generating random values, such as random strings or unique identifiers.
A pseudo-random number generator is an algorithm that generates a sequence of numbers that appear to be random but are actually determined by a starting value called a seed. In the case of randomatic, the weak PRNG used means that the generated values are not truly random and can be predicted.
The use of a weak PRNG in randomatic can have serious security implications. Attackers may be able to predict the random values generated by the package, which can lead to bypassing security measures or launching targeted attacks.
To fix this vulnerability, update to version 3.0.0 or later of the randomatic package.
There is no specific workaround mentioned for this vulnerability. It is recommended to update to the latest version of the randomatic package.
