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inference@0.9.22 vulnerabilities

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

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Direct Vulnerabilities

Known vulnerabilities in the inference package. This does not include vulnerabilities belonging to this package’s dependencies.

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Vulnerability Vulnerable Version
  • C
Deserialization of Untrusted Data

inference is a With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

Affected versions of this package are vulnerable to Deserialization of Untrusted Data due to the use of pickle in handling numpy objects.

How to fix Deserialization of Untrusted Data?

Upgrade inference to version 0.14.0 or higher.

[,0.14.0)
  • H
Server-side Request Forgery (SSRF)

inference is a With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

Affected versions of this package are vulnerable to Server-side Request Forgery (SSRF) when processing a malicious numpy filename not specified by an FQDN.

How to fix Server-side Request Forgery (SSRF)?

Upgrade inference to version 0.14.0 or higher.

[,0.14.0)
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