CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
NONE
Availability Impact
NONE
AV:N/AC:L/Au:N/C:P/I:N/A:N
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
NONE
Availability Impact
NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
AI Score
Confidence
Low
The GNU Compiler Collection includes front ends for C, C++, Objective-C, Fortran, Ada, Go, D and Modula-2 as well as libraries for these languages (libstdc++,…).
A vulnerability has been discovered in GCC. Please review the CVE identifier referenced below for details.
The POWER9 backend in GNU Compiler Collection (GCC) could optimize multiple calls of the __builtin_darn intrinsic into a single call, thus reducing the entropy of the random number generator. This occurred because a volatile operation was not specified. For example, within a single execution of a program, the output of every __builtin_darn() call may be the same.
There is no known workaround at this time.
All GCC users should upgrade to the latest version:
# emerge --sync
# emerge --ask --oneshot --verbose ">=sys-devel/gcc-10.0"
And then select it with gcc-config:
# gcc-config latest
In this case, users should also rebuild all affected packages with emerge -e, e.g.:
# emerge --usepkg=n --emptytree @world
OS | Version | Architecture | Package | Version | Filename |
---|---|---|---|---|---|
Gentoo | any | ppc | sys-devel/gcc | < 10.0 | UNKNOWN |
Gentoo | any | sys-devel/gcc | < 10.0 | UNKNOWN | |
Gentoo | any | ppc64 | sys-devel/gcc | < 10.0 | UNKNOWN |
CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
NONE
Availability Impact
NONE
AV:N/AC:L/Au:N/C:P/I:N/A:N
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
NONE
Availability Impact
NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
AI Score
Confidence
Low