CWE-334 Base Brouillon

Small Space of Random Values

This vulnerability occurs when a system uses a random number generator that produces too few possible values. Attackers can easily predict or guess these values through brute force attacks.

Définition

What is CWE-334?

This vulnerability occurs when a system uses a random number generator that produces too few possible values. Attackers can easily predict or guess these values through brute force attacks.
When an application relies on random values for security—like generating session tokens, encryption keys, or password reset codes—using a random source with a small output space is a critical flaw. For example, a random number generator that only produces 65,536 possible values (16 bits) is trivial for an automated script to exhaustively try all combinations. This directly undermines security mechanisms designed to be unpredictable. To prevent this, developers must ensure their random value generators have an output space large enough to resist brute-force attempts for the required lifespan of the secret. This typically means using cryptographically secure pseudo-random number generators (CSPRNGs) that produce values with at least 128 bits of entropy. Always match the randomness strength to the sensitivity of the operation it protects.
Impact réel

Real-world CVEs caused by CWE-334

  • Product uses 5 alphanumeric characters for filenames of expense claim reports, stored under web root.

  • Product uses small number of random numbers for a code to approve an action, and also uses predictable new user IDs, allowing attackers to hijack new accounts.

  • SYN cookies implementation only uses 32-bit keys, making it easier to brute force ISN.

  • Complex predictability / randomness (reduced space).

Comment les attaquants l'exploitent

Parcours de l'attaquant étape par étape

  1. 1

    The following XML example code is a deployment descriptor for a Java web application deployed on a Sun Java Application Server. This deployment descriptor includes a session configuration property for configuring the session ID length.

  2. 2

    This deployment descriptor has set the session ID length for this Java web application to 8 bytes (or 64 bits). The session ID length for Java web applications should be set to 16 bytes (128 bits) to prevent attackers from guessing and/or stealing a session ID and taking over a user's session.

  3. 3

    Note for most application servers including the Sun Java Application Server the session ID length is by default set to 128 bits and should not be changed. And for many application servers the session ID length cannot be changed from this default setting. Check your application server documentation for the session ID length default setting and configuration options to ensure that the session ID length is set to 128 bits.

Exemple de code vulnérable

Vulnerable XML

The following XML example code is a deployment descriptor for a Java web application deployed on a Sun Java Application Server. This deployment descriptor includes a session configuration property for configuring the session ID length.

Vulnérable XML
<sun-web-app>
  		...
  		<session-config>
  				<session-properties>
  					<property name="idLengthBytes" value="8">
  						<description>The number of bytes in this web module's session ID.</description>
  					</property>
  				</session-properties>
  		</session-config>
  		...
  </sun-web-app>
Exemple de code sécurisé

Secure pseudo

Sécurisé pseudo
// Validate, sanitize, or use a safe API before reaching the sink.
function handleRequest(input) {
  const safe = validateAndEscape(input);
  return executeWithGuards(safe);
}
What changed: the unsafe sink is replaced (or the input is validated/escaped) so the same payload no longer triggers the weakness.
Liste de contrôle de prévention

How to prevent CWE-334

  • Architecture and Design / Requirements Use products or modules that conform to FIPS 140-2 [REF-267] to avoid obvious entropy problems. Consult FIPS 140-2 Annex C ("Approved Random Number Generators").
Signaux de détection

How to detect CWE-334

SAST High

Exécuter une analyse statique (SAST) sur le code source à la recherche du motif non sécurisé dans le flux de données.

DAST Moderate

Exécuter des tests de sécurité applicative dynamique (DAST) contre le point de terminaison en ligne.

Runtime Moderate

Surveiller les journaux runtime pour détecter des traces d'exception inhabituelles, des entrées malformées ou des tentatives de contournement d'autorisation.

Code review Moderate

Revue de code : signaler tout nouveau code qui traite les entrées de cette surface sans utiliser les helpers du framework validés.

Correction automatique Plexicus

Plexicus détecte automatiquement CWE-334 et ouvre une PR de correction en moins de 60 secondes.

Codex Remedium analyse chaque commit, identifie cette faiblesse précise et livre une pull request prête à être relue avec le correctif. Pas de tickets. Pas de transferts.

Questions fréquentes

Frequently asked questions

Qu'est-ce que CWE-334 ?

This vulnerability occurs when a system uses a random number generator that produces too few possible values. Attackers can easily predict or guess these values through brute force attacks.

Quelle est la gravité de CWE-334 ?

MITRE n'a pas publié de note de probabilité d'exploitation pour cette faiblesse. Traitez-la comme un impact moyen jusqu'à ce que votre modèle de menace prouve le contraire.

Quels langages ou plateformes sont affectés par CWE-334 ?

MITRE n'a pas spécifié les plateformes affectées pour ce CWE — il peut s'appliquer à la plupart des stacks applicatives.

Comment puis-je prévenir CWE-334 ?

Use products or modules that conform to FIPS 140-2 [REF-267] to avoid obvious entropy problems. Consult FIPS 140-2 Annex C ("Approved Random Number Generators").

Comment Plexicus détecte et corrige CWE-334 ?

Le moteur SAST de Plexicus reconnaît la signature de flux de données de CWE-334 à chaque commit. Lorsqu'une correspondance est trouvée, notre agent Codex Remedium ouvre une PR de correction avec le code corrigé, les tests et un résumé d'une ligne pour le relecteur.

Où puis-je en savoir plus sur CWE-334 ?

MITRE publie la définition canonique à https://cwe.mitre.org/data/definitions/334.html. Vous pouvez également consulter la documentation OWASP et NIST pour des conseils adjacents.

Faiblesses associées

Weaknesses related to CWE-334

CWE-330 Parent

Use of Insufficiently Random Values

This vulnerability occurs when an application uses random values that are not sufficiently unpredictable in security-sensitive operations,…

CWE-1204 Frère

Generation of Weak Initialization Vector (IV)

This vulnerability occurs when software uses a weak or predictable Initialization Vector (IV) for cryptographic operations. Many…

CWE-1241 Frère

Use of Predictable Algorithm in Random Number Generator

This vulnerability occurs when a device or application relies on a predictable algorithm to generate pseudo-random numbers, making the…

CWE-331 Frère

Insufficient Entropy

This vulnerability occurs when a system's random number generator or algorithm lacks sufficient unpredictability, creating patterns or…

CWE-335 Frère

Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG)

This vulnerability occurs when a Pseudo-Random Number Generator (PRNG) is used, but its initial seed value is not handled securely or…

CWE-338 Frère

Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)

This vulnerability occurs when software uses a pseudo-random number generator (PRNG) that is not cryptographically strong for…

CWE-340 Frère

Generation of Predictable Numbers or Identifiers

This vulnerability occurs when a system creates numbers or identifiers that are too easy to guess, undermining security mechanisms that…

CWE-344 Frère

Use of Invariant Value in Dynamically Changing Context

This vulnerability occurs when code uses a fixed, unchanging value (like a hardcoded string, number, or reference) in a situation where…

CWE-6 Enfant

J2EE Misconfiguration: Insufficient Session-ID Length

This vulnerability occurs when a J2EE application uses session identifiers that are too short, making them easier for attackers to predict…

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