CVE-2020-15211
- Source
- https://nvd.nist.gov/vuln/detail/CVE-2020-15211
- Import Source
- https://storage.googleapis.com/osv-test-cve-osv-conversion/osv-output/CVE-2020-15211.json
- JSON Data
- https://api.test.osv.dev/v1/vulns/CVE-2020-15211
- Aliases
- Downstream
- Related
- Published
- 2020-09-25T19:15:16.400Z
- Modified
- 2025-11-14T14:53:49.926046Z
- Severity
-
- 4.8 (Medium) CVSS_V3 - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N CVSS Calculator
- Summary
- [none]
- Details
-
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices for the tensors, indexing into an array of tensors that is owned by the subgraph. This results in a pattern of double array indexing when trying to get the data of each tensor. However, some operators can have some tensors be optional. To handle this scenario, the flatbuffer model uses a negative
-1value as index for these tensors. This results in special casing during validation at model loading time. Unfortunately, this means that the-1index is a valid tensor index for any operator, including those that don't expect optional inputs and including for output tensors. Thus, this allows writing and reading from outside the bounds of heap allocated arrays, although only at a specific offset from the start of these arrays. This results in both read and write gadgets, albeit very limited in scope. The issue is patched in several commits (46d5b0852, 00302787b7, e11f5558, cd31fd0ce, 1970c21, and fff2c83), and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. A potential workaround would be to add a customVerifierto the model loading code to ensure that only operators which accept optional inputs use the-1special value and only for the tensors that they expect to be optional. Since this allow-list type approach is erro-prone, we advise upgrading to the patched code. - References
-
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
- https://github.com/tensorflow/tensorflow/commit/00302787b788c5ff04cb6f62aed5a74d936e86c0
- https://github.com/tensorflow/tensorflow/commit/1970c2158b1ffa416d159d03c3370b9a462aee35
- https://github.com/tensorflow/tensorflow/commit/46d5b0852528ddfd614ded79bccc75589f801bd9
- https://github.com/tensorflow/tensorflow/commit/cd31fd0ce0449a9e0f83dcad08d6ed7f1d6bef3f
- https://github.com/tensorflow/tensorflow/commit/e11f55585f614645b360563072ffeb5c3eeff162
- https://github.com/tensorflow/tensorflow/commit/fff2c8326280c07733828f990548979bdc893859
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cvpc-8phh-8f45
Affected packages
Git / github.com/tensorflow/tensorflow
Affected ranges
- Type
- GIT
- Repo
- https://github.com/tensorflow/tensorflow
- Events
-
Introduced0 Unknown introduced commit / All previous commits are affectedFixedFixedFixedFixedFixedFixedFixed
Affected versions
0.*
0.12.0-rc0
0.12.0-rc1
0.12.1
0.5.0
0.6.0
v0.*
v0.10.0
v0.10.0rc0
v0.11.0
v0.11.0rc0
v0.11.0rc1
v0.11.0rc2
v0.12.0
v0.7.0
v0.7.1
v0.8.0rc0
v0.9.0
v0.9.0rc0
v1.*
v1.0.0
v1.0.0-alpha
v1.0.0-rc0
v1.0.0-rc1
v1.0.0-rc2
v1.1.0
v1.1.0-rc0
v1.1.0-rc1
v1.1.0-rc2
v1.12.0
v1.12.0-rc0
v1.12.0-rc1
v1.12.0-rc2
v1.12.1
v1.2.0
v1.2.0-rc0
v1.2.0-rc1
v1.2.0-rc2
v1.3.0-rc0
v1.3.0-rc1
v1.5.0
v1.5.0-rc0
v1.5.0-rc1
v1.6.0
v1.6.0-rc0
v1.6.0-rc1
v1.7.0
v1.7.0-rc0
v1.7.0-rc1
v1.8.0
v1.8.0-rc0
v1.8.0-rc1
v1.9.0
v1.9.0-rc0
v1.9.0-rc1
v1.9.0-rc2
v2.*
v2.3.0
v2.3.0-rc0
v2.3.0-rc1
v2.3.0-rc2
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