Pseudorandom number generators use mathematical algorithms to produce a sequence of numbers with good statistical properties, but the numbers produced are not genuinely random.
The C Standard function rand(
available in stdlib.h
) does not have good random number properties)
function makes no guarantees as to the quality of the random sequence produced. The numbers generated by some implementations of rand()
have a comparatively short cycle , and the numbers may can be predictable. To achieve the best random numbers possible, an implementation-specific function must be used.
...
Applications that have strong pseudorandom number requirements must use a generator that is known to be sufficient for their needs.
Noncompliant Code Example
The following noncompliant code generates an ID with a numeric part produced by calling the rand()
function. The IDs produced are predictable and have limited randomness.
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#include <stdio.h> #include <stdlib.h> enum { len = 12 }; char id[len]; void func(void) { /* * id will hold the ID, starting with the characters "ID" */ * "ID" followed by a random integer. */* followed by a random integer */ char id[len]; int r; int num; /* ... */ r = rand(); /* generateGenerate a random integer */ num = snprintf(id, len, "ID%-d", r); /* generateGenerate the ID */ /* ... */ } |
Non-Compliant Code Example
Compliant Solution (POSIX)
This compliant solution replaces the rand()
function with the POSIX A better pseudorandom number generator is the random()
function.:
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#include <stdio.h> #include <stdlib.h> #include <time.h> enum { len = 12 }; char id[len]; void func(void) { /* * id will hold the ID, starting with the characters "ID" */ * "ID" followed by a random integer. */* followed by a random integer */ char id[len]; int r; int num; /* ... */ srandom(time(0) struct timespec ts; if (timespec_get(&ts, TIME_UTC) == 0) { /* Handle error */ } srandom(ts.tv_nsec ^ ts.tv_sec); /* seedSeed the PRNG with the current time */ /* ... */ r = random(); /* generateGenerate a random integer */ num = snprintf(id, len, "ID%-d", r); /* generateGenerate the ID */ /* ... */ } |
The POSIX However, the instance of the random()
function in this example uses time(0)
as a seed. With a trivial seed like time(0)
, the results from random()
are also predictable.
Compliant Solution (Linux, Solaris, Mac OS X, NetBSD, OpenBSD)
is a better pseudorandom number generator. Although on some platforms the low dozen bits generated by rand()
go through a cyclic pattern, all the bits generated by random()
are usable. The rand48
family of functions provides another alternative for pseudorandom numbers.
Although not specified by POSIX, arc4random()
is another possibility for systems that support it. The arc4random(3)
manual page [OpenBSD] states
... provides higher quality of data than those described in rand(3), random(3), and drand48(3).
To achieve the best random numbers possible, an implementation-specific function must be used. When unpredictability is crucial When unpredictability really matters and speed is not an issue, as in the creation of strong cryptographic keys, use a true entropy source, such as /dev/random
, or a hardware device capable of generating random numbers. The /dev/random
device may can block for a long time if there are not enough events going on to generate sufficient entropy. From the Linux urandom(4)
manual page:
A read from the
/dev/urandom
device will not block waiting for more entropy. As a result, if there is not sufficient entropy in the entropy pool, the returned values are theoretically vulnerable to a cryptographic attack on the algorithms used by the driver. Knowledge of how to do this is not available in the current non-classified literature, but it is theoretically possible that such an attack may exist. If this is a concern in your application, use/dev/random
instead.
In most cases, however, it will be acceptable to simply use a pseudorandom number generator from a cryptographic library (such as the Mersenne Twister) and seed it with data read from /dev/random
.
...
Compliant Solution (Windows)
On Windows platforms, the BCryptGenRandom()
function can be used to generate cryptographically strong random numbers. The Microsoft Developer Network BCryptGenRandom()
reference [MSDN] states:
The default random number provider implements an algorithm for generating random numbers that complies with the NIST SP800-90 standard, specifically the CTR_DRBG portion of that standard.
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#include <Windows.h> #include <bcrypt.h> #include <stdio.h> #pragma comment(lib, "Bcrypt") void func(void long int li; FILE* fd; if(!(fd = fopen("/dev/random", "r")) { /* Handle error condition */ } if(fread(&li, sizeof(li), 1, fd) != sizeof(liBCRYPT_ALG_HANDLE Prov; int Buffer; if (!BCRYPT_SUCCESS( BCryptOpenAlgorithmProvider(&Prov, BCRYPT_RNG_ALGORITHM, NULL, 0))) { /* Handlehandle error condition */ } fclose(fd); printf("Random number: %ld\n", li); |
Another option on systems that support it is arc4random()
. From the arc4random(3)
manual page:
arc4random()
fits into a middle ground not covered by other subsystems such as the strong, slow, and resource expensive random devices described inrandom(4)
versus the fast but poor quality interfaces described inrand(3)
,random(3)
, anddrand48(3)
.
Compliant Solution (Windows)
On Windows platforms, the CryptGenRandom()
function may be used to generate cryptographically strong random numbers. It is important to note, however, that the exact details of the implementation are unknown, and it is undetermined as to what source of entropy the CryptGenRandom()
uses. From the Microsoft Developer Network CryptGenRandom()
reference:
If an application has access to a good random source, it can fill the
pbBuffer
buffer with some random data before callingCryptGenRandom()
. The CSP then uses this data to further randomize its internal seed. It is acceptable to omit the step of initializing thepbBuffer
buffer before callingCryptGenRandom()
.
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#include<Wincrypt.h> HCRYPTPROV hCryptProv; union { BYTE bs[sizeof(long int)]; long int li; } rand_buf; if(!CryptGenRandom(hCryptProv, sizeof(rand_buf), &rand_buf if (!BCRYPT_SUCCESS(BCryptGenRandom(Prov, (PUCHAR) (&Buffer), sizeof(Buffer), 0))) { /* Handlehandle error */ } else {} printf("Random number: %ld%d\n", rand_buf.liBuffer); BCryptCloseAlgorithmProvider(Prov, 0); } |
Risk Assessment
Using The use of the rand()
function leads to possibly can result in predictable random numbers.
Rule | Severity | Likelihood | Remediation Cost | Priority | Level |
---|---|---|---|---|---|
MSC30-C | Medium | Unlikely | Low | P6 | L2 |
Automated Detection
Tool | Version | Checker | Description | ||||||
---|---|---|---|---|---|---|---|---|---|
Astrée |
| stdlib-use-rand | Fully checked | ||||||
Axivion Bauhaus Suite |
| CertC-MSC30 | |||||||
Clang |
| cert-msc30-c | Checked by clang-tidy | ||||||
CodeSonar |
| BADFUNC.RANDOM.RAND | Use of rand | ||||||
Compass/ROSE | |||||||||
Coverity |
| DONTCALL | Implemented - weak support | ||||||
Cppcheck Premium |
| premium-cert-msc30-c | Fully implemented | ||||||
| CC2.MSC30 | Fully implemented | |||||||
Helix QAC |
| C5022 C |
1 (low)
1 (unlikely)
1 (high)
P1
++5029 | |||||||||
Klocwork |
| CERT.MSC.STD_RAND_CALL | |||||||
LDRA tool suite |
| 44 S | Enhanced enforcement | ||||||
Parasoft C/C++test |
| CERT_C-MSC30-a | Do not use the rand() function for generating pseudorandom numbers | ||||||
PC-lint Plus |
| 586 | Fully supported | ||||||
Polyspace Bug Finder |
| CERT C: Rule MSC30-C | Checks for vulnerable pseudo-random number generator (rule fully covered) | ||||||
RuleChecker |
| stdlib-use-rand | Fully checked |
Related Vulnerabilities
Search for vulnerabilities resulting from the violation of this rule on the CERT website.
References
Wiki Markup |
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\[[ISO/IEC 9899-1999|AA. C References#ISO/IEC 9899-1999]\] Section 7.20.2.1, "The rand function" |
Related Guidelines
Key here (explains table format and definitions)
Taxonomy | Taxonomy item | Relationship |
---|---|---|
CERT C | MSC50-CPP. Do not use std::rand() for generating pseudorandom numbers | Prior to 2018-01-12: CERT: Unspecified Relationship |
CERT Oracle Secure Coding Standard for Java | MSC02-J. Generate strong random numbers | Prior to 2018-01-12: CERT: Unspecified Relationship |
CWE 2.11 | CWE-327, Use of a Broken or Risky Cryptographic Algorithm | 2017-05-16: CERT: Rule subset of CWE |
CWE 2.11 | CWE-330, Use of Insufficiently Random Values | 2017-06-28: CERT: Rule subset of CWE |
CWE 2.11 | CWE-338, Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) | 2017-06-28: CERT: Rule subset of CWE |
CWE 2.11 | CWE-676 | 2017-05-18: CERT: Rule subset of CWE |
CERT-CWE Mapping Notes
Key here for mapping notes
CWE-327 and MSC30-C
- CWE-327 forbids “broken or risky cryptographic algorithms” but does not specify what constitutes such an algo.
- Per CERT judgement, rand() qualifies, so:
- CWE-327 = Union( MSC30-C, list) where list =
- Invocation of broken/risky crypto algorithms besides rand()
CWE-338 and MSC30-C
CWE-338 = Union( MSC30-C, list) where list =
- Use of a weak PRNG besides standard C rand().
CWE-330 and MSC30-C
Independent( MSC30-C, MSC32-C, CON33-C)
CWE-330 = Union( MSC30-C, MSC32-C, CON33-C, list) where list = other improper use or creation of random values. (EG the would qualify)
MSC30-C, MSC32-C and CON33-C are independent, they have no intersections. They each specify distinct errors regarding PRNGs.
CWE-676 and MSC30-C
- Independent( ENV33-C, CON33-C, STR31-C, EXP33-C, MSC30-C, ERR34-C)
- MSC30-C implies that rand() is dangerous.
- CWE-676 = Union( MSC30-C, list) where list =
- Invocation of other dangerous functions, besides rand().
Bibliography
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MSC13-A. Detect and remove unused values 14. Miscellaneous (MSC) MSC31-C. Ensure that return values are compared against the proper type