NULL Pointer Dereference Affecting tensorflow-gpu package, versions [,2.7.2) [2.8.0,2.8.1) [2.9.0,2.9.1)
Snyk CVSS
Attack Complexity
Low
Privileges Required
High
Availability
High
Threat Intelligence
Exploit Maturity
Proof of concept
EPSS
0.08% (35th
percentile)
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Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOWGPU-3026961
- published 18 Sep 2022
- disclosed 16 Sep 2022
- credit Unknown
Introduced: 16 Sep 2022
CVE-2022-36011 Open this link in a new tabHow to fix?
Upgrade tensorflow-gpu to version 2.7.2, 2.8.1, 2.9.1 or higher.
Overview
tensorflow-gpu is a machine learning framework.
Affected versions of this package are vulnerable to NULL Pointer Dereference when mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes.
PoC
// Import the function attributes with a `tf.` prefix to match the current
// infrastructure expectations.
for (const auto& namedAttr : func.attr()) {
const std::string& name = "tf." + namedAttr.first;
const AttrValue& tf_attr = namedAttr.second;
TF_ASSIGN_OR_RETURN(Attribute attr,
ConvertAttributeValue(tf_attr, builder, tfgDialect));
attrs.append(name, attr);
}