CVE-2020-15211

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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
2020-09-25T19:15:16Z
Modified
2025-10-15T13:42:52.272908Z
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 -1 value as index for these tensors. This results in special casing during validation at model loading time. Unfortunately, this means that the -1 index 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 custom Verifier to the model loading code to ensure that only operators which accept optional inputs use the -1 special 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

Affected packages

Git / github.com/tensorflow/tensorflow

Affected ranges

Type
GIT
Repo
https://github.com/tensorflow/tensorflow
Events
Introduced
0 Unknown introduced commit / All previous commits are affected
Fixed
00302787b788c5ff04cb6f62aed5a74d936e86c0
Fixed
1970c2158b1ffa416d159d03c3370b9a462aee35
Fixed
46d5b0852528ddfd614ded79bccc75589f801bd9
Fixed
cd31fd0ce0449a9e0f83dcad08d6ed7f1d6bef3f
Fixed
e11f55585f614645b360563072ffeb5c3eeff162
Fixed
fcc4b966f1265f466e82617020af93670141b009
Fixed
fff2c8326280c07733828f990548979bdc893859

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

Database specific 

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