Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
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| 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% (0.600% probability within 30 days)
| Type | Values Removed | Values Added |
|---|---|---|
| Title | Insecure Deserialization in ART Kubeflow Component Enables Remote Code Execution |
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
cvssV3_1
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| 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 | Insecure Deserialization in ART Kubeflow Component Enables Remote Code Execution | |
| Weaknesses | CWE-502 |
| Type | Values Removed | Values Added |
|---|---|---|
| Description | The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains an insecure deserialization vulnerability (CWE-502) in its Kubeflow component's model loading functionality. When loading model weights from a file (e.g., model.pt) during robustness evaluation, the code uses torch.load() without the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the Pickle module. An attacker can exploit this by uploading a maliciously crafted model file to an object storage location referenced by the pipeline, or by controlling the model_id parameter to point to such a file. When the pipeline loads the model, the malicious payload is executed, leading to remote code execution. | |
| References |
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