CVE Vulnerabilities

CVE-2015-9019

Use of Insufficiently Random Values

Published: Apr 05, 2017 | Modified: Apr 11, 2017
CVSS 3.x
5.3
MEDIUM
Source:
NVD
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
CVSS 2.x
5 MEDIUM
AV:N/AC:L/Au:N/C:P/I:N/A:N
RedHat/V2
RedHat/V3
4 LOW
CVSS:3.0/AV:L/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
Ubuntu
LOW

In libxslt 1.1.29 and earlier, the EXSLT math.random function was not initialized with a random seed during startup, which could cause usage of this function to produce predictable outputs.

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
Libxslt Xmlsoft * 1.1.29 (including)
Libxslt Ubuntu artful *
Libxslt Ubuntu bionic *
Libxslt Ubuntu cosmic *
Libxslt Ubuntu devel *
Libxslt Ubuntu disco *
Libxslt Ubuntu eoan *
Libxslt Ubuntu esm-infra/bionic *
Libxslt Ubuntu esm-infra/xenial *
Libxslt Ubuntu focal *
Libxslt Ubuntu groovy *
Libxslt Ubuntu hirsute *
Libxslt Ubuntu impish *
Libxslt Ubuntu jammy *
Libxslt Ubuntu kinetic *
Libxslt Ubuntu precise *
Libxslt Ubuntu precise/esm *
Libxslt Ubuntu trusty *
Libxslt Ubuntu trusty/esm *
Libxslt Ubuntu upstream *
Libxslt Ubuntu xenial *
Libxslt Ubuntu yakkety *
Libxslt Ubuntu zesty *

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