...
Not all random number generators can be seeded. True random number generators that rely on hardware to produce completely unpredictable results do not need to be and cannot be seeded. Some high-quality PRNGs, such as the /dev/random
device on some UNIX systems, also cannot be seeded. This rule applies only to algorithmic pseudorandom number generators that can be seeded.
Noncompliant Code Example
This noncompliant code example generates a sequence of 10 pseudorandom numbers using the Mersenne Twister engine. No matter how many times this code is executed, it always produces the same sequence because the default seed is used for the engine:
Code Block | ||||
---|---|---|---|---|
| ||||
#include <random> #include <iostream> void f() { std::mt19937 engine; for (int i = 0; i < 10; ++i) { std::cout << engine() << ", "; } } output: 1st run: 3499211612, 581869302, 3890346734, 3586334585, 545404204, 4161255391, 3922919429, 949333985, 2715962298, 1323567403, 2nd run: 3499211612, 581869302, 3890346734, 3586334585, 545404204, 4161255391, 3922919429, 949333985, 2715962298, 1323567403, ... nth run: 3499211612, 581869302, 3890346734, 3586334585, 545404204, 4161255391, 3922919429, 949333985, 2715962298, 1323567403, |
Compliant Solution
This compliant solution uses std::random_device
to generate a random seed value to see the Mersenne Twister engine object. The values generated by std::random_device
are nondeterministic random numbers when possible, relying on random number generation devices, like /dev/random
. When such a device is not available, std::random_device
may employ a random number engine; however, the initial value generated should have sufficient randomness to serve as a seed value.
Code Block | ||||
---|---|---|---|---|
| ||||
#include <random> #include <iostream> void f() { std::random_device dev; std::mt19937 engine(dev()); for (int i = 0; i < 10; ++i) { std::cout << engine() << ", "; } } output: 1st run: 3921124303, 1253168518, 1183339582, 197772533, 83186419, 2599073270, 3238222340, 101548389, 296330365, 3335314032, 2nd run: 2392369099, 2509898672, 2135685437, 3733236524, 883966369, 2529945396, 764222328, 138530885, 4209173263, 1693483251, 3rd run: 914243768, 2191798381, 2961426773, 3791073717, 2222867426, 1092675429, 2202201605, 850375565, 3622398137, 422940882, ... |
Risk Assessment
Rule | Severity | Likelihood | Remediation Cost | Priority | Level |
---|---|---|---|---|---|
MSC32-CPP | Medium | Likely | Low | P18 | L1 |
Automated Detection
Tool | Version | Checker | Description |
---|---|---|---|
Related Vulnerabilities
Search for vulnerabilities resulting from the violation of this rule on the CERT website.
Related Guidelines
CERT C Coding Standard | MSC32-C. Properly seed pseudorandom number generators |
MITRE CWE | CWE-327, Use of a Broken or Risky Cryptographic Algorithm CWE-330, Use of Insufficiently Random Values |
Bibliography
[ISO/IEC 14882-2014] | 26.5, "Random Number Generation" |
[ISO/IEC 9899:2011] | 7.22.2, "Pseudo-random Sequence Generation Functions" |
...