CVE-2022-23593 Segfault in `simplifyBroadcast` in Tensorflow

2022-02-0422:32:08

CWE-754

GitHub_M

www.cve.org

cve-2022-23593; tensorflow; segfault; simplifybroadcast; denial of service; mlir-tfrt; vulnerability; scalar shapes; fix; version 2.8.0

CVSS3

5.9

Attack Vector

NETWORK

Attack Complexity

HIGH

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS

0.002

Percentile

57.4%

JSON

Tensorflow is an Open Source Machine Learning Framework. The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector. The fix will be included in TensorFlow 2.8.0. This is the only affected version.

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": ">= 2.7.0, < 2.8.0"
      }
    ]
  }
]

References

github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205

github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a

github.com/tensorflow/tensorflow/security/advisories/GHSA-gwcx-jrx4-92w2