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The WANDB Weave Directory Traversal vulnerability (CVE-2024-7340) enables low-privileged users to access arbitrary files across the filesystem.
This vulnerability permits attackers to execute arbitrary commands by exploiting how Deep Lake handles external dataset imports.
This can compromise downstream processes as the models are utilized by various teams and CI/CD pipelines.
The attackers can also exfiltrate sensitive data or conduct model poisoning attacks to degrade model performance or manipulate outputs.
JFrogs findings highlight an operational gap in MLOps security.
Many organizations lack robust integration of AI/ML security practices with broader cybersecurity strategies, leaving potential blind spots.
