CVE-2020-15208
Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor.
Does this matter?
High impact if exploited, but EPSS currently rates exploitation as unlikely (0.91%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.
Description
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
- CVSS 3.1
- 9.8 CRITICALCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
- EPSS
- 0.91% probability · 58th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-125, CWE-787
- Affected
- google/tensorflow · opensuse/leap
- Source
- security-advisories@github.com
References
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlMailing List, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157dPatch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2vExploit, Third Party Advisory
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlMailing List, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157dPatch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2vExploit, Third Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.