CVE Vulnerabilities

CVE-2022-36045

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

Published: Aug 31, 2022 | Modified: Sep 06, 2022
CVSS 3.x
9.8
CRITICAL
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CVSS 2.x
RedHat/V2
RedHat/V3
Ubuntu

NodeBB Forum Software is powered by Node.js and supports either Redis, MongoDB, or a PostgreSQL database. It utilizes web sockets for instant interactions and real-time notifications. utils.generateUUID, a helper function available in essentially all versions of NodeBB (as far back as v1.0.1 and potentially earlier) used a cryptographically insecure Pseudo-random number generator (Math.random()), which meant that a specially crafted script combined with multiple invocations of the password reset functionality could enable an attacker to correctly calculate the reset code for an account they do not have access to. This vulnerability impacts all installations of NodeBB. The vulnerability allows for an attacker to take over any account without the involvement of the victim, and as such, the remediation should be applied immediately (either via NodeBB upgrade or cherry-pick of the specific changeset. The vulnerability has been patched in version 2.x and 1.19.x. There is no known workaround, but the patch sets listed above will fully patch the vulnerability.

Weakness

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

Affected Software

Name Vendor Start Version End Version
Nodebb Nodebb * 1.19.8 (excluding)
Nodebb Nodebb 2.0.0 (including) 2.0.0 (including)

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