CVE Vulnerabilities

CVE-2018-11045

Use of Insufficiently Random Values

Published: Jul 11, 2018 | Modified: Sep 14, 2018
CVSS 3.x
5.9
MEDIUM
Source:
NVD
CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N
CVSS 2.x
4.3 MEDIUM
AV:N/AC:M/Au:N/C:P/I:N/A:N
RedHat/V2
RedHat/V3
Ubuntu

Pivotal Operations Manager, versions 2.1 prior to 2.1.6 and 2.0 prior to 2.0.15 and 1.12 prior to 1.12.22, contains a static Linux Random Number Generator (LRNG) seed file embedded in the appliance image. An attacker with knowledge of the exact version and IaaS of a running OpsManager could get the contents of the corresponding seed from the published image and therefore infer the initial state of the LRNG.

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
Operations_manager Pivotal_software 1.12 (including) 1.12.22 (excluding)
Operations_manager Pivotal_software 2.0 (excluding) 2.0.15 (excluding)
Operations_manager Pivotal_software 2.1.0 (including) 2.1.6 (excluding)

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