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Jackson-databind Vulnerability

Moderate
david-leifker published GHSA-3p2c-f3j7-cxjm Aug 14, 2023

Package

No package listed

Affected versions

<=v0.10.1

Patched versions

>=v0.10.2

Description

Critical and High Vulnerabilities in these DataHub components (v0.9.6.2)

-> datahub-ingestion
->datahub-upgrade
->datahub-frontend
->datahub-kafka-setup

Details
Upstream dependencies for jackson-databind v2.4.0 and v2.10.0

CVE-2022-42004
CVE-2020-10673
CVE-2020-36186
CVE-2019-12086
CVE-2018-12022

Resolution
For datahub-ingestion production of a -slim without pyspark.
Remaining jackson components are upgraded to v2.15.2rc2 as of DataHub v0.10.2

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

CVE ID

No known CVE

Weaknesses

No CWEs

Credits