Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
                
            References
                    | Link | Resource | 
|---|---|
| https://github.com/tensorflow/tensorflow/commit/448a16182065bd08a202d9057dd8ca541e67996c | Patch Third Party Advisory | 
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-247x-2f9f-5wp7 | Patch Third Party Advisory | 
Configurations
                    Configuration 1 (hide)
                                
                                
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Information
                Published : 2022-02-04 15:15
Updated : 2022-02-09 17:55
NVD link : CVE-2022-23591
Mitre link : CVE-2022-23591
JSON object : View
CWE
                
                    
                        
                        CWE-400
                        
            Uncontrolled Resource Consumption
Products Affected
                - tensorflow
 


