CVE-2026-31230: n/a
The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a command-line argument injection vulnerability in its Kubeflow component (robustness_evaluation_fgsm_pytorch.py). The script uses the unsafe eval() function to parse string values provided via the --clip_values and --input_shape command-line arguments. This allows an attacker to inject arbitrary Python code into these arguments, which will be executed when eval() is called. The vulnerability can be exploited remotely if an attacker can control these arguments (e.g., through pipeline configuration or automated scripts), leading to arbitrary code execution on the system running the ART evaluation.
AI Analysis
Technical Summary
CVE-2026-31230 describes a command-line argument injection vulnerability in the Adversarial Robustness Toolbox (ART) Kubeflow component, specifically in the robustness_evaluation_fgsm_pytorch.py script. The vulnerability is due to the unsafe use of Python's eval() function to parse the --clip_values and --input_shape arguments, allowing arbitrary code execution if an attacker controls these inputs. This can lead to remote code execution on the host running the ART evaluation pipeline. The vulnerability affects ART versions up to 1.20.1. No patch or official remediation guidance has been published yet.
Potential Impact
Successful exploitation allows an attacker with the ability to influence the specified command-line arguments to execute arbitrary Python code on the system running the ART Kubeflow evaluation script. This can lead to full compromise of the affected system. There are no known exploits in the wild and no CVSS score assigned yet.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict access to the ART Kubeflow evaluation environment and ensure that only trusted users can configure or run the affected script. Avoid passing untrusted input to the --clip_values and --input_shape arguments. Monitor vendor channels for updates or patches addressing this vulnerability.
CVE-2026-31230: n/a
Description
The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a command-line argument injection vulnerability in its Kubeflow component (robustness_evaluation_fgsm_pytorch.py). The script uses the unsafe eval() function to parse string values provided via the --clip_values and --input_shape command-line arguments. This allows an attacker to inject arbitrary Python code into these arguments, which will be executed when eval() is called. The vulnerability can be exploited remotely if an attacker can control these arguments (e.g., through pipeline configuration or automated scripts), leading to arbitrary code execution on the system running the ART evaluation.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-31230 describes a command-line argument injection vulnerability in the Adversarial Robustness Toolbox (ART) Kubeflow component, specifically in the robustness_evaluation_fgsm_pytorch.py script. The vulnerability is due to the unsafe use of Python's eval() function to parse the --clip_values and --input_shape arguments, allowing arbitrary code execution if an attacker controls these inputs. This can lead to remote code execution on the host running the ART evaluation pipeline. The vulnerability affects ART versions up to 1.20.1. No patch or official remediation guidance has been published yet.
Potential Impact
Successful exploitation allows an attacker with the ability to influence the specified command-line arguments to execute arbitrary Python code on the system running the ART Kubeflow evaluation script. This can lead to full compromise of the affected system. There are no known exploits in the wild and no CVSS score assigned yet.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict access to the ART Kubeflow evaluation environment and ensure that only trusted users can configure or run the affected script. Avoid passing untrusted input to the --clip_values and --input_shape arguments. Monitor vendor channels for updates or patches addressing this vulnerability.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mitre
- Date Reserved
- 2026-03-09T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a036531cbff5d861008c1a6
Added to database: 5/12/2026, 5:36:49 PM
Last enriched: 5/12/2026, 8:08:34 PM
Last updated: 5/13/2026, 5:00:35 AM
Views: 2
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