Evidence used
- No CISA KEV confirmation is currently recorded.
- Exploitation requires an existing local or physical foothold with privileges.
- EPSS is 0.69% for the current model date.
BlackTreeCVE Intelligencegarden-io · garden
Official source article: GitHub GHSA-HM75-6VC9-8RPR ↗. Check the applicable product and release in the original source.
High technical severity; prioritise exposed affected systems while verifying vendor guidance.
High technical severity; prioritise exposed affected systems while verifying vendor guidance.
Patch availableGarden provides automation for Kubernetes development and testing. Prior tov ersions 0.13.17 and 0.12.65, Garden has a dependency on the cryo library, which is vulnerable to code injection due to an insecure implementation of deserialization. Garden stores serialized objects using cryo in the Kubernetes `ConfigMap` resources prefixed with `test-result` and `run-result` to cache Garden test and run results. These `ConfigMaps` are stored either in the `garden-system` namespace or the configured user namespace. When a user invokes the command `garden test` or `garden run` objects stored in the `ConfigMap` are retrieved and deserialized. This can be used by an attacker with access to the Kubernetes cluster to store malicious objects in the `ConfigMap`, which can trigger a remote code execution on the users machine when cryo deserializes the object. In order to exploit this vulnerability, an attacker must have access to the Kubernetes cluster used to deploy garden remote environments. Further, a user must actively invoke either a `garden test` or `garden run` which has previously cached results. The issue has been patched in Garden versions `0.13.17` (Bonsai) and `0.12.65` (Acorn). Only Garden versions prior to these are vulnerable. No known workarounds are available.
Garden provides automation for Kubernetes development and testing. Prior tov ersions 0.13.17 and 0.12.65, Garden has a dependency on the cryo library, which is vulnerable to code injection due to an insecure implementation of deserialization. Garden stores serialized objects using cryo in the Kubernetes `ConfigMap` resources prefixed with `test-result` and `run-result` to cache Garden test and run results. These `ConfigMaps` are stored either in the `garden-system` namespace or the configured user namespace. When a user invokes the command `garden test` or `garden run` objects stored in the `ConfigMap` are retrieved and deserialized. This can be used by an attacker with access to the Kubernetes cluster to store malicious objects in the `ConfigMap`, which can trigger a remote code execution on the users machine when cryo deserializes the object. In order to exploit this vulnerability, an attacker must have access to the Kubernetes cluster used to deploy garden remote environments. Further, a user must actively invoke either a `garden test` or `garden run` which has previously cached results. The issue has been patched in Garden versions `0.13.17` (Bonsai) and `0.12.65` (Acorn). Only Garden versions prior to these are vulnerable. No known workarounds are available.
Untrusted data can cross into a code-evaluation path and be interpreted as executable instructions.
An attacker operating through local access may attempt exploitation with low privileges. If successful, the issue may execute code or commands in the affected security context.
Garden provides automation for Kubernetes development and testing. Prior tov ersions 0.13.17 and 0.12.65, Garden has a dependency on the cryo library, which is vulnerable to code injection due to an insecure implementation of deserialization. Garden stores serialized objects using cryo in the Kubernetes `ConfigMap` resources prefixed with `test-result` and `run-result` to cache Garden test and run results. These `ConfigMaps` are stored either in the `garden-system` namespace or the configured user namespace. When a user invokes the command `garden test` or `garden run` objects stored in the `ConfigMap` are retrieved and deserialized. This can be used by an attacker with access to the Kubernetes cluster to store malicious objects in the `ConfigMap`, which can trigger a remote code execution on the users machine when cryo deserializes the object. In order to exploit this vulnerability, an attacker must have access to the Kubernetes cluster used to deploy garden remote environments. Further, a user must actively invoke either a `garden test` or `garden run` which has previously cached results. The issue has been patched in Garden versions `0.13.17` (Bonsai) and `0.12.65` (Acorn). Only Garden versions prior to these are vulnerable. No known workarounds are available.
Untrusted data can cross into a code-evaluation path and be interpreted as executable instructions.
An attacker operating through local access may attempt exploitation with low privileges. If successful, the issue may execute code or commands in the affected security context.
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.
CWE-94: Improper Control of Generation of Code ('Code Injection'). The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.
CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:HCommon Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 9 Oct 2023 · Last source change 18 Sept 2024, 20:23 UTC · CWE-94 · Improper Control of Generation of Code ('Code Injection')
Core structured fields are present and their contributing authorities are shown above.
No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.