CVE Vulnerabilities

CVE-2022-1615

Use of Insufficiently Random Values

Published: Sep 01, 2022 | Modified: Nov 07, 2023
CVSS 3.x
5.5
MEDIUM
Source:
NVD
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
CVSS 2.x
RedHat/V2
RedHat/V3
5.1 LOW
CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N
Ubuntu
LOW

In Samba, GnuTLS gnutls_rnd() can fail and give predictable random values.

Weakness

The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers.

Affected Software

Name Vendor Start Version End Version
Samba Samba 4.1.0 (including) *
Red Hat Enterprise Linux 8 RedHat samba-0:4.17.5-2.el8 *
Red Hat Enterprise Linux 8 RedHat samba-0:4.17.5-2.el8 *
Red Hat Enterprise Linux 8.6 Extended Update Support RedHat samba-0:4.15.5-15.el8_6 *
Red Hat Enterprise Linux 9 RedHat samba-0:4.17.5-102.el9 *
Red Hat Enterprise Linux 9 RedHat samba-0:4.17.5-102.el9 *
Red Hat Virtualization 4 for Red Hat Enterprise Linux 8 RedHat samba-0:4.15.5-15.el8_6 *
Samba Ubuntu bionic *
Samba Ubuntu esm-infra/bionic *
Samba Ubuntu focal *
Samba Ubuntu jammy *
Samba Ubuntu kinetic *
Samba Ubuntu trusty *
Samba Ubuntu upstream *
Samba Ubuntu xenial *

Potential Mitigations

  • Use a well-vetted algorithm that is currently considered to be strong by experts in the field, and select well-tested implementations with adequate length seeds.
  • In general, if a pseudo-random number generator is not advertised as being cryptographically secure, then it is probably a statistical PRNG and should not be used in security-sensitive contexts.
  • Pseudo-random number generators can produce predictable numbers if the generator is known and the seed can be guessed. A 256-bit seed is a good starting point for producing a “random enough” number.

References