CVE-2020-15208
CVE-2020-15208 · Data corruption in tensorflow-lite
This page contains facts from public vulnerability sources. Check the original advisory before updating.
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 7.4 · High · EPSS 0.9% · Fix available
- Published
- Updated
Stack: python
Affected products and versions
tensorflow
- Versions
- < 1.15.4: Affected
- >= 2.0.0, < 2.0.3: Affected
- >= 2.1.0, < 2.1.2: Affected
- >= 2.2.0, < 2.2.1: Affected
- >= 2.3.0, < 2.3.1: Affected
No fix published
tensorflow PyPI
- Versions
- 0.12.0
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0
- 1.10.0
- 1.10.1
- 1.11.0
- 1.12.0
- 1.12.2
- 1.12.3
- 1.13.1
- 1.13.2
- 1.14.0
- 1.15.0
- 1.15.2
- 1.15.3
- 1.2.0
- 1.2.1
- 1.3.0
- 1.4.0
- 1.4.1
- 1.5.0
- 1.5.1
- 1.6.0
- 1.7.0
- 1.7.1
- 1.8.0
- 1.9.0
- Affected ranges
- ECOSYSTEM: < 1.15.4
Update to 1.15.4
tensorflow PyPI
- Versions
- 2.0.0
- 2.0.1
- 2.0.2
- Affected ranges
- ECOSYSTEM: ≥ 2.0.0, < 2.0.3
Update to 2.0.3
tensorflow PyPI
- Versions
- 2.1.0
- 2.1.1
- Affected ranges
- ECOSYSTEM: ≥ 2.1.0, < 2.1.2
Update to 2.1.2
tensorflow PyPI
- Versions
- 2.2.0
- Affected ranges
- ECOSYSTEM: ≥ 2.2.0, < 2.2.1
Update to 2.2.1
tensorflow PyPI
- Versions
- 2.3.0
- Affected ranges
- ECOSYSTEM: ≥ 2.3.0, < 2.3.1
Update to 2.3.1
tensorflow-cpu PyPI
- Versions
- 1.15.0
- Affected ranges
- ECOSYSTEM: < 1.15.4
Update to 1.15.4
tensorflow-cpu PyPI
- Affected ranges
- ECOSYSTEM: ≥ 2.0.0, < 2.0.3
Update to 2.0.3
tensorflow-cpu PyPI
- Versions
- 2.1.0
- 2.1.1
- Affected ranges
- ECOSYSTEM: ≥ 2.1.0, < 2.1.2
Update to 2.1.2
tensorflow-cpu PyPI
- Versions
- 2.2.0
- Affected ranges
- ECOSYSTEM: ≥ 2.2.0, < 2.2.1
Update to 2.2.1
tensorflow-cpu PyPI
- Versions
- 2.3.0
- Affected ranges
- ECOSYSTEM: ≥ 2.3.0, < 2.3.1
Update to 2.3.1
tensorflow-gpu PyPI
- Versions
- 0.12.0
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0
- 1.10.0
- 1.10.1
- 1.11.0
- 1.12.0
- 1.12.2
- 1.12.3
- 1.13.1
- 1.13.2
- 1.14.0
- 1.15.0
- 1.15.2
- 1.15.3
- 1.2.0
- 1.2.1
- 1.3.0
- 1.4.0
- 1.4.1
- 1.5.0
- 1.5.1
- 1.6.0
- 1.7.0
- 1.7.1
- 1.8.0
- 1.9.0
- Affected ranges
- ECOSYSTEM: < 1.15.4
Update to 1.15.4
tensorflow-gpu PyPI
- Versions
- 2.0.0
- 2.0.1
- 2.0.2
- Affected ranges
- ECOSYSTEM: ≥ 2.0.0, < 2.0.3
Update to 2.0.3
tensorflow-gpu PyPI
- Versions
- 2.1.0
- 2.1.1
- Affected ranges
- ECOSYSTEM: ≥ 2.1.0, < 2.1.2
Update to 2.1.2
tensorflow-gpu PyPI
- Versions
- 2.2.0
- Affected ranges
- ECOSYSTEM: ≥ 2.2.0, < 2.2.1
Update to 2.2.1
tensorflow-gpu PyPI
- Versions
- 2.3.0
- Affected ranges
- ECOSYSTEM: ≥ 2.3.0, < 2.3.1
Update to 2.3.1
tensorflow PyPI
- Versions
- 0.12.0rc0
- 0.12.0rc1
- 0.12.0
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0rc0
- 1.1.0rc1
- 1.1.0rc2
- 1.1.0
- 1.2.0rc0
- 1.2.0rc1
- 1.2.0rc2
- 1.2.0
- 1.2.1
- 1.3.0rc0
- 1.3.0rc1
- 1.3.0rc2
- 1.3.0
- 1.4.0rc0
- 1.4.0rc1
- 1.4.0
- 1.4.1
- 1.5.0rc0
- 1.5.0rc1
- 1.5.0
- 1.5.1
- 1.6.0rc0
- 1.6.0rc1
- 1.6.0
- 1.7.0rc0
- 1.7.0rc1
- 1.7.0
- 1.7.1
- 1.8.0rc0
- 1.8.0rc1
- 1.8.0
- 1.9.0rc0
- 1.9.0rc1
- 1.9.0rc2
- 1.9.0
- 1.10.0rc0
- 1.10.0rc1
- 1.10.0
- 1.10.1
- 1.11.0rc0
- 1.11.0rc1
- 1.11.0rc2
- 1.11.0
- 1.12.0rc0
- 1.12.0rc1
- 1.12.0rc2
- 1.12.0
- 1.12.2
- 1.12.3
- 1.13.0rc0
- 1.13.0rc1
- 1.13.0rc2
- 1.13.1
- 1.13.2
- 1.14.0rc0
- 1.14.0rc1
- 1.14.0
- 1.15.0rc0
- 1.15.0rc1
- 1.15.0rc2
- 1.15.0rc3
- 1.15.0
- 1.15.2
- 1.15.3
- 2.0.0
- 2.0.1
- 2.0.2
- 2.1.0
- 2.1.1
- 2.2.0
- 2.3.0
- Affected ranges
- GIT: < 8ee24e7949a203d234489f9da2c5bf45a7d5157d
- ECOSYSTEM: < 1.15.4 ∪ ≥ 2.0.0, < 2.0.3 ∪ ≥ 2.1.0, < 2.1.2 ∪ ≥ 2.2.0, < 2.2.1 ∪ ≥ 2.3.0, < 2.3.1
Update to 1.15.4; Update to 2.0.3; Update to 2.1.2; Update to 2.2.1; Update to 2.3.1
tensorflow-cpu PyPI
- Versions
- 1.15.0
- 2.1.0
- 2.1.1
- 2.2.0
- 2.3.0
- Affected ranges
- GIT: < 8ee24e7949a203d234489f9da2c5bf45a7d5157d
- ECOSYSTEM: < 1.15.4 ∪ ≥ 2.0.0, < 2.0.3 ∪ ≥ 2.1.0, < 2.1.2 ∪ ≥ 2.2.0, < 2.2.1 ∪ ≥ 2.3.0, < 2.3.1
Update to 1.15.4; Update to 2.0.3; Update to 2.1.2; Update to 2.2.1; Update to 2.3.1
tensorflow-gpu PyPI
- Versions
- 0.12.0
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0
- 1.10.0
- 1.10.1
- 1.11.0
- 1.12.0
- 1.12.2
- 1.12.3
- 1.13.1
- 1.13.2
- 1.14.0
- 1.15.0
- 1.15.2
- 1.15.3
- 1.2.0
- 1.2.1
- 1.3.0
- 1.4.0
- 1.4.1
- 1.5.0
- 1.5.1
- 1.6.0
- 1.7.0
- 1.7.1
- 1.8.0
- 1.9.0
- 2.0.0
- 2.0.1
- 2.0.2
- 2.1.0
- 2.1.1
- 2.2.0
- 2.3.0
- Affected ranges
- GIT: < 8ee24e7949a203d234489f9da2c5bf45a7d5157d
- ECOSYSTEM: < 1.15.4 ∪ ≥ 2.0.0, < 2.0.3 ∪ ≥ 2.1.0, < 2.1.2 ∪ ≥ 2.2.0, < 2.2.1 ∪ ≥ 2.3.0, < 2.3.1
Update to 1.15.4; Update to 2.0.3; Update to 2.1.2; Update to 2.2.1; Update to 2.3.1
Original sources
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v
- https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
- https://nvd.nist.gov/vuln/detail/CVE-2020-15208