CVE-2020-26271
Heap out of bounds access in MakeEdge in TensorFlow
Description
In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality. However, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays. In most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
How to fix CVE-2020-26271
To remediate CVE-2020-26271, upgrade the affected package to a fixed version below.
- —upgrade to 1.15.5 or later
- —upgrade to 1.15.5 or later
- —upgrade to 0cc38aaa4064fd9e79101994ce9872c6d91f816b or later
- —upgrade to 0cc38aaa4064fd9e79101994ce9872c6d91f816b or later
- —upgrade to 1.15.5 or later
- —upgrade to 0cc38aaa4064fd9e79101994ce9872c6d91f816b or later
- —upgrade to 1.15.5 or later
Is CVE-2020-26271 being exploited?
Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.
Affected packages (7)
- from 0, < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2
- from 0, < 1.15.5
- from 0, < 0cc38aaa4064fd9e79101994ce9872c6d91f816b | from 0, < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2
- from 0, < 0cc38aaa4064fd9e79101994ce9872c6d91f816b | from 0, < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2
- from 0, < 1.15.5
- from 0, < 0cc38aaa4064fd9e79101994ce9872c6d91f816b | from 0, < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2
- from 0, < 1.15.5
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 4.0 | — | CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N |
| osv | CVSS 3.1 | MEDIUM4.4 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L |
References (6)
- ADVISORYnvd.nist.gov/vuln/detail/CVE-2020-26271
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-302.yaml
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-337.yaml
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-257.yaml