Vulnerability Database

289,599

Total vulnerabilities in the database

CVE-2020-15209

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a nullptr buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one. The runtime assumes that these buffers are written to before a possible read, hence they are initialized with nullptr. However, by changing the buffer index for a tensor and implicitly converting that tensor to be a read-write one, as there is nothing in the model that writes to it, we get a null pointer dereference. The issue is patched in commit 0b5662bc, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

CVSS v3:

  • Severity: Medium
  • Score: 5.9
  • AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

CVSS v2:

  • Severity: Low
  • Score: 4.3
  • AV:N/AC:M/Au:N/C:N/I:N/A:P

CWEs:

Software From Fixed in
google / tensorflow - 1.15.4
google / tensorflow 2.0.0 2.0.3
google / tensorflow 2.1.0 2.1.2
google / tensorflow 2.2.0 2.2.1
google / tensorflow 2.3.0 2.3.1
opensuse / leap 15.2 15.2.x
tensorflow - 1.15.4
tensorflow 2.0.0 2.0.3
tensorflow 2.1.0 2.1.2
tensorflow 2.2.0 2.2.0.x
tensorflow 2.2.0 2.2.1
tensorflow 2.3.0 2.3.0.x
tensorflow 2.3.0 2.3.1
tensorflow-cpu - 1.15.4
tensorflow-cpu 2.0.0 2.0.3
tensorflow-cpu 2.1.0 2.1.2
tensorflow-cpu 2.2.0 2.2.0.x
tensorflow-cpu 2.2.0 2.2.1
tensorflow-cpu 2.3.0 2.3.0.x
tensorflow-cpu 2.3.0 2.3.1
tensorflow-gpu - 1.15.4
tensorflow-gpu 2.0.0 2.0.3
tensorflow-gpu 2.1.0 2.1.2
tensorflow-gpu 2.2.0 2.2.0.x
tensorflow-gpu 2.2.0 2.2.1
tensorflow-gpu 2.3.0 2.3.0.x
tensorflow-gpu 2.3.0 2.3.1