CVE Vulnerabilities

CVE-2025-59390

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

Published: Nov 26, 2025 | Modified: Nov 26, 2025
CVSS 3.x
N/A
Source:
NVD
CVSS 2.x
RedHat/V2
RedHat/V3
Ubuntu

Apache Druid’s Kerberos authenticator uses a weak fallback secret when the druid.auth.authenticator.kerberos.cookieSignatureSecret configuration is not explicitly set. In this case, the secret is generated using ThreadLocalRandom, which is not a crypto-graphically secure random number generator. This may allow an attacker to predict or brute force the secret used to sign authentication cookies, potentially enabling token forgery or authentication bypass. Additionally, each process generates its own fallback secret, resulting in inconsistent secrets across nodes. This causes authentication failures in distributed or multi-broker deployments, effectively leading to a incorrectly configured clusters. Users are advised to configure a strong druid.auth.authenticator.kerberos.cookieSignatureSecret

This issue affects Apache Druid: through 34.0.0.

Users are recommended to upgrade to version 35.0.0, which fixes the issue making it mandatory to set druid.auth.authenticator.kerberos.cookieSignatureSecret when using the Kerberos authenticator. Services will fail to come up if the secret is not set.

Weakness

The product uses a Pseudo-Random Number Generator (PRNG) in a security context, but the PRNG’s algorithm is not cryptographically strong.

Extended Description

When a non-cryptographic PRNG is used in a cryptographic context, it can expose the cryptography to certain types of attacks. Often a pseudo-random number generator (PRNG) is not designed for cryptography. Sometimes a mediocre source of randomness is sufficient or preferable for algorithms that use random numbers. Weak generators generally take less processing power and/or do not use the precious, finite, entropy sources on a system. While such PRNGs might have very useful features, these same features could be used to break the cryptography.

Potential Mitigations

References