Description (CNA)
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.
Affected (CNA)
| Vendor / product | Versions |
|---|---|
| n/a / n/a | affected n/a |
CWE
No CWE identifiers supplied.
References
- https://github.com/Trusted-AI/adversarial-robustness-toolbox
- https://www.notion.so/CVE-2026-31230-35d1e13931888126b624d12769c0e040
ADP enrichment
No English description supplied.
No references supplied.
A flaw was found in Adversarial Robustness Toolbox (ART). This command-line argument injection vulnerability exists in its Kubeflow component due to the unsafe use of the `eval()` function, which parses string values from `--clip_values` and `--input_shape` arguments. A remote attacker can exploit this by injecting arbitrary Python code into these arguments, leading to arbitrary code execution on the system running the ART evaluation.