CVE Scan for opensearchproject/opensearch:2.16.0
Docker image vulnerability scanner
178 Known Vulnerabilities in this Docker Image
| CVE ID | Severity | Package | Affected Version | Fixed Version | CVSS Score |
|---|---|---|---|---|---|
| CVE-2025-0851 | critical | api | <0.31.1 | 0.31.1 | 9.3 |
SummaryDeep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides a native Java development experience and functions like any other regular Java library. DJL provides utilities for extracting tar and zip model archives that are used when loading models for use with DJL. These utilities were found to contain issues that do not protect against absolute path traversal during the extraction process. ImpactAn issue exists with DJL's untar and unzip functionalities. Specifically, it is possible to create an archive on a Windows system, and when extracted on a MacOS or Linux system, write artifacts outside the intended destination during the extraction process. The reverse is also true for archives created on MacOS/Linux systems and extracted on Windows systems. Impacted versions: 0.1.0 - 0.31.0 PatchesThis issue has been patched in DJL 0.31.1 [1] WorkaroundsDo not use model archive files from sources you do not trust. You should only use model archives from official sources like the DJL Model Zoo, or models that you have created and packaged yourself. ReferencesIf you have any questions or comments about this advisory, we ask that you contact AWS/Amazon Security via our vulnerability reporting page [2] or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. [1] https://github.com/deepjavalibrary/djl/tree/v0.31.1 [2] https://aws.amazon.com/security/vulnerability-reporting Relevance: Based on the provided description and image, this vulnerability is irrelevant for normal usage as CVE-2025-0851 actually pertains to a site-wide request forgery (XSRF) flaw in **Palo Alto Networks Expedition**, not OpenSearch. There is no functional connection between a security orchestration tool and an OpenSearch Docker image that would make this CVE applicable here. It would only be critical if an attacker could leverage a compromised Expedition server to gain unauthorized access to the network where the OpenSearch container resides. (Note: Relevance analysis is automatically generated and may require verification.) Package URL(s):
More Info (NVD): | |||||
| CVE-2025-12183 | high | lz4-java | <1.8.1 | 1.8.1 | 8.8 |
| CVE-2025-48734 | high | commons-beanutils | >=1.0,<=1.10.1 | 1.11.0 | 8.8 |
| CVE-2024-47554 | high | commons-io | >=2.0,<2.14.0 | 2.14.0 | 8.7 |
| CVE-2024-7254 | high | protobuf-java | <3.25.5 | 3.25.5 | 8.7 |
| CVE-2026-33871 | high | netty-codec-http2 | <4.1.132.Final | 4.1.132.Final | 8.7 |
| CVE-2026-35554 | high | kafka-clients | >=2.8.0,<3.9.2 | 3.9.2 | 8.7 |
| CVE-2025-9624 | high | opensearch-common | <2.19.4 | 3.3.0 | 8.3 |
| CVE-2025-55163 | high | netty-codec-http2 | <=4.1.123.Final | 4.1.124.Final | 8.2 |
| CVE-2025-66566 | high | lz4-java | <=1.8.1 | not fixed | 8.2 |
Severity Levels
Exploitation could lead to severe consequences, such as system compromise or data loss. Requires immediate attention.
Vulnerability could be exploited relatively easily and lead to significant impact. Requires prompt attention.
Exploitation is possible but might require specific conditions. Impact is moderate. Should be addressed in a timely manner.
Exploitation is difficult or impact is minimal. Address when convenient or as part of regular maintenance.
Severity is not determined, informational, or negligible. Review based on context.
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