Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| n/a | n/a | affected |
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No data.
No data.
| Vendor | Product | Versions | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Trusted-ai | Adversarial-robustness-toolbox |
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No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.610% probability within 30 days)
| Type | Values Removed | Values Added |
|---|---|---|
| Title | Remote Code Execution via Unsanitized eval in ART Kubeflow Component |
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
cvssV3_1
|
| Type | Values Removed | Values Added |
|---|---|---|
| First Time appeared |
Trusted-ai
Trusted-ai adversarial-robustness-toolbox |
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| Vendors & Products |
Trusted-ai
Trusted-ai adversarial-robustness-toolbox |
| Type | Values Removed | Values Added |
|---|---|---|
| Title | Remote Code Execution via Unsanitized eval in ART Kubeflow Component | |
| Weaknesses | CWE-94 |
| Type | Values Removed | Values Added |
|---|---|---|
| Description | The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a remote code execution vulnerability in its Kubeflow component. The robustness evaluation function for PyTorch models uses the unsafe eval() function to dynamically evaluate user-supplied strings for the LossFn and Optimizer parameters without any sanitization or security restrictions. An attacker can exploit this by providing a specially crafted string that contains arbitrary Python code, which will be executed when eval() is called, leading to complete compromise of the system running the ART evaluation. | |
| References |
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