add qhelp to js/biased-cryptographic-random

This commit is contained in:
Erik Krogh Kristensen 2020-06-16 11:07:43 +02:00
Родитель 23223fc5fb
Коммит 696879653a
7 изменённых файлов: 70 добавлений и 13 удалений

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@ -35,7 +35,7 @@
| Incomplete HTML attribute sanitization (`js/incomplete-html-attribute-sanitization`) | security, external/cwe/cwe-20, external/cwe/cwe-079, external/cwe/cwe-116 | Highlights potential XSS vulnerabilities due to incomplete sanitization of HTML meta-characters. Results are shown on LGTM by default. |
| Unsafe expansion of self-closing HTML tag (`js/unsafe-html-expansion`) | security, external/cwe/cwe-079, external/cwe/cwe-116 | Highlights potential XSS vulnerabilities caused by unsafe expansion of self-closing HTML tags. |
| Unsafe shell command constructed from library input (`js/shell-command-constructed-from-input`) | correctness, security, external/cwe/cwe-078, external/cwe/cwe-088 | Highlights potential command injections due to a shell command being constructed from library inputs. Results are shown on LGTM by default. |
| Creating biased random numbers from cryptographically secure source (`js/biased-cryptographic-random`) | security, external/cwe/cwe-327 | Highlights mathematical operations on cryptographically secure numbers that can create biased results. Results are shown on LGTM by default. |
| Creating biased random numbers from a cryptographically secure source (`js/biased-cryptographic-random`) | security, external/cwe/cwe-327 | Highlights mathematical operations on cryptographically secure numbers that can create biased results. Results are shown on LGTM by default. |
## Changes to existing queries

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@ -4,33 +4,57 @@
<qhelp>
<overview>
<p>
Placeholder
Generating secure random numbers can be an important part of creating
a secure software system, and for that purpose there exists secure APIs
for creating cryptographically secure random numbers.
</p>
<p>
However, using some mathematical operations on these cryptographically
secure random numbers can create biased results, where some outcomes
are more likely than others.
Such biased results can make it easier for an attacker to guess the random
numbers, and thereby break the security of the software system.
</p>
</overview>
<recommendation>
<p>
Placeholder.
Be very careful not to introduce bias when performing mathematical operations
on cryptographically secure random numbers.
</p>
<p>
If possible, avoid performing mathematical operations on cryptographically secure
random numbers at all, and use a preexisting library instead.
</p>
</recommendation>
<example>
<p>
Placeholder
The below example uses the modulo operator to create an array of 10 random digits
using random bytes as the source for randomness.
</p>
<sample src="examples/bad-random.js" />
<p>
The random byte is a uniformly random value between 0 and 255, and thus the result
from using the modulo operator is slightly more likely to be between 0 and 5 than
between 6 and 9.
</p>
<p>
The issue has been fixed in the code below, where the random byte is discarded if
the value was greater than or equal to 250.
Thus the modulo operator is used on a uniformly random number between 0 and 249, which
results in a uniformly random digit between 0 and 9.
</p>
<sample src="examples/bad-random-fixed.js" />
</example>
<references>
<li>NIST, FIPS 140 Annex a: <a href="http://csrc.nist.gov/publications/fips/fips140-2/fips1402annexa.pdf"> Approved Security Functions</a>.</li>
<li>NIST, SP 800-131A: <a href="http://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-131Ar1.pdf"> Transitions: Recommendation for Transitioning the Use of Cryptographic Algorithms and Key Lengths</a>.</li>
<li>Stack Overflow: <a href="https://stackoverflow.com/questions/3956478/understanding-randomness">Understanding “randomness”</a>.</li>
<li>OWASP: <a href="https://owasp.org/www-community/vulnerabilities/Insecure_Randomness">Insecure Randomness</a>.</li>
<li>OWASP: <a
href="https://cheatsheetseries.owasp.org/cheatsheets/Cryptographic_Storage_Cheat_Sheet.html#rule---use-strong-approved-authenticated-encryption">Rule
- Use strong approved cryptographic algorithms</a>.
</li>
<li>Stack Overflow: <a href="https://stackoverflow.com/questions/3956478/understanding-randomness">Understanding “randomness”</a>.</li>
</references>
</qhelp>

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@ -1,5 +1,5 @@
/**
* @name Creating biased random numbers from cryptographically secure source.
* @name Creating biased random numbers from a cryptographically secure source.
* @description Some mathematical operations on random numbers can cause bias in
* the results and compromise security.
* @kind problem

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@ -0,0 +1,10 @@
const crypto = require('crypto');
const digits = [];
while (digits.length < 10) {
const byte = crypto.randomBytes(1)[0];
if (byte >= 250) {
continue;
}
digits.push(byte % 10); // OK
}

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@ -0,0 +1,6 @@
const crypto = require('crypto');
const digits = [];
for (let i = 0; i < 10; i++) {
digits.push(crypto.randomBytes(1)[0] % 10); // NOT OK
}

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@ -15,3 +15,4 @@
| bad-random.js:87:16:87:24 | bad + bad | Using addition on a $@ produces biased results. | bad-random.js:84:23:84:38 | secureRandom(10) | cryptographically secure random number |
| bad-random.js:90:29:90:54 | secureR ... / 25.6 | Using division and rounding the result on a $@ produces biased results. | bad-random.js:90:29:90:44 | secureRandom(10) | cryptographically secure random number |
| bad-random.js:96:29:96:58 | crypto. ... ] / 100 | Using division and rounding the result on a $@ produces biased results. | bad-random.js:96:29:96:49 | crypto. ... ytes(1) | cryptographically secure random number |
| bad-random.js:118:17:118:45 | crypto. ... 0] % 10 | Using modulo on a $@ produces biased results. | bad-random.js:118:17:118:37 | crypto. ... ytes(1) | cryptographically secure random number |

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@ -110,4 +110,20 @@ var a = crypto.randomBytes(10);
var good = ((a[i] & 31) * 0x1000000000000) + (a[i + 1] * 0x10000000000) + (a[i + 2] * 0x100000000) + (a[i + 3] * 0x1000000) + (a[i + 4] << 16) + (a[i + 5] << 8) + a[i + 6]; // OK - generating a large number from smaller bytes.
var good = (a[i] * 0x100000000) + a[i + 6]; // OK - generating a large number from smaller bytes.
var good = (a[i + 2] * 0x10000000) + a[i + 6]; // OK - generating a large number from smaller bytes.
var foo = 0xffffffffffff + 0xfffffffffff + 0xffffffffff + 0xfffffffff + 0xffffffff + 0xfffffff + 0xffffff
var foo = 0xffffffffffff + 0xfffffffffff + 0xffffffffff + 0xfffffffff + 0xffffffff + 0xfffffff + 0xffffff
// Bad documentation example:
const digits = [];
for (let i = 0; i < 10; i++) {
digits.push(crypto.randomBytes(1)[0] % 10); // NOT OK
}
// Good documentation example:
const digits = [];
while (digits.length < 10) {
const byte = crypto.randomBytes(1)[0];
if (byte >= 250) {
continue;
}
digits.push(byte % 10); // OK
}