4.6
CVSSv2

CVE-2021-41208

Published: 05/11/2021 Updated: 09/11/2021
CVSS v2 Base Score: 4.6 | Impact Score: 6.4 | Exploitability Score: 3.9
CVSS v3 Base Score: 7.8 | Impact Score: 5.9 | Exploitability Score: 1.8
VMScore: 409
Vector: AV:L/AC:L/Au:N/C:P/I:P/A:P

Vulnerability Summary

TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service (via dereferencing `nullptr`s or via `CHECK`-failures) as well as abuse undefined behavior (binding references to `nullptr`s). An attacker can also read and write from heap buffers, depending on the API that gets used and the arguments that are passed to the call. Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no longer use these APIs. We will deprecate TensorFlow's boosted trees APIs in subsequent releases. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Vulnerability Trend

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google tensorflow

google tensorflow 2.7.0

Vendor Advisories

In TensorFlow before version 261, the code for boosted trees in TensorFlow is still missing validation As a result, attackers can trigger denial of service (via dereferencing nullptrs or via CHECK-failures) as well as abuse undefined behavior (binding references to nullptrs) An attacker can also read and write from heap buffers, depending on th ...