Headline
GHSA-4fgp-7vvm-m4jf: Refuel Autolab Eval Injection vulnerability
An arbitrary code execution vulnerability exists in versions 0.0.8 and newer of the Refuel Autolabel library because of the way its multilabel classification tasks handle provided CSV files. If a user creates a multilabel classification task using a maliciously crafted CSV file containing Python code, the code will be passed to an eval function which executes it.
Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.