CVE Vulnerabilities

CVE-2018-11291

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

Published: Sep 20, 2018 | Modified: Oct 03, 2019
CVSS 3.x
7.5
HIGH
Source:
NVD
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N
CVSS 2.x
5 MEDIUM
AV:N/AC:L/Au:N/C:N/I:P/A:N
RedHat/V2
RedHat/V3
Ubuntu

In Snapdragon (Automobile, Mobile, Wear) in version IPQ8074, MDM9206, MDM9607, MDM9640, MDM9650, MSM8996AU, QCA4531, QCA6174A, QCA6564, QCA6574, QCA6574AU, QCA6584, QCA6584AU, QCA9377, QCA9378, QCA9379, SD 425, SD 427, SD 430, SD 435, SD 450, SD 600, SD 625, SD 650/52, SD 810, SD 820, SD 820A, SD 835, SD 845, SD 850, SDM630, SDM632, SDM636, SDM660, SDX20, Snapdragon_High_Med_2016, cryptographic issues due to the random number generator was not a strong one in NAN.

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
Ipq8074_firmware Qualcomm - (including) - (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