Apache Ivy 2.0.02.5.0 Path Traversal via Artifact Pattern
CVE-2022-37866 Published on November 7, 2022
Apache Ivy allows path traversal in the presence of a malicious repository
When Apache Ivy downloads artifacts from a repository it stores them in the local file system based on a user-supplied "pattern" that may include placeholders for artifacts coordinates like the organisation, module or version. If said coordinates contain "../" sequences - which are valid characters for Ivy coordinates in general - it is possible the artifacts are stored outside of Ivy's local cache or repository or can overwrite different artifacts inside of the local cache. In order to exploit this vulnerability an attacker needs collaboration by the remote repository as Ivy will issue http requests containing ".." sequences and a "normal" repository will not interpret them as part of the artifact coordinates. Users of Apache Ivy 2.0.0 to 2.5.1 should upgrade to Ivy 2.5.1.
Vulnerability Analysis
CVE-2022-37866 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality, a high impact on integrity, and no impact on availability.
Weakness Type
What is a Directory traversal Vulnerability?
The software uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the software does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.
CVE-2022-37866 has been classified to as a Directory traversal vulnerability or weakness.
Products Associated with CVE-2022-37866
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Affected Versions
Apache Software Foundation Apache Ivy:- Version 2.0.0 and below unspecified is affected.
- Version unspecified, <= 2.5.0 is affected.
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.