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GHSA-pqrv-8r2f-7278
No affected components available
Impact
A GraphDef from a TensorFlow SavedModel can be maliciously altered to cause a TensorFlow process to crash due to encountering a StatusOr value that is an error and forcibly extracting the value from it:
if (op_reg_data->type_ctor != nullptr) {
VLOG(3) << "AddNode: found type constructor for " << node_def.name();
const auto ctor_type =
full_type::SpecializeType(AttrSlice(node_def), op_reg_data->op_def);
const FullTypeDef ctor_typedef = ctor_type.ValueOrDie();
if (ctor_typedef.type_id() != TFT_UNSET) {
*(node_def.mutable_experimental_type()) = ctor_typedef;
}
}
If ctor_type is an error status, ValueOrDie results in a crash.
Patches
We have patched the issue in GitHub commit 955059813cc325dc1db5e2daa6221271406d4439.
We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
The vulnerability can be exploited over the network without needing physical access. It is difficult for an attacker to exploit this vulnerability and may require special conditions. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the availability of the system.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
Probability that this vulnerability will be exploited in the wild within the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
- CVE-2022-23590Alias
- EUVD-2022-0338Alias
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