7.5 High
CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
PARTIAL
Availability Impact
PARTIAL
AV:N/AC:L/Au:N/C:P/I:P/A:P
9.8 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
0.028 Low
EPSS
Percentile
90.7%
Tablib is an MIT Licensed format-agnostic tabular dataset library, written in Python. It allows you to import, export, and manipulate tabular data sets.
A vulnerability was discovered in Tablib’s Databook loading functionality, due to improper input validation.
A remote attacker, by enticing the user to process a specially crafted Databook via YAML, could possibly execute arbitrary python commands with the privilege of the process.
There is no known workaround at this time.
All Tablib users should upgrade to the latest version:
# emerge --sync
# emerge --ask --oneshot --verbose ">=dev-python/tablib-0.12.1"
OS | Version | Architecture | Package | Version | Filename |
---|---|---|---|---|---|
Gentoo | any | all | dev-python/tablib | < 0.12.1 | UNKNOWN |
7.5 High
CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
PARTIAL
Availability Impact
PARTIAL
AV:N/AC:L/Au:N/C:P/I:P/A:P
9.8 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
0.028 Low
EPSS
Percentile
90.7%