GHSA-m648-33qf-v3gp

Suggest an improvement
Source
https://github.com/advisories/GHSA-m648-33qf-v3gp
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/12/GHSA-m648-33qf-v3gp/GHSA-m648-33qf-v3gp.json
JSON Data
https://api.osv.dev/v1/vulns/GHSA-m648-33qf-v3gp
Aliases
Published
2020-12-10T19:07:31Z
Modified
2023-12-06T00:45:26.884790Z
Severity
  • 4.4 (Medium) CVSS_V3 - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L CVSS Calculator
Summary
CHECK-fail in LSTM with zero-length input in TensorFlow
Details

Impact

Running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend.

This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer.

Patches

We have patched the issue in GitHub commit 14755416e364f17fb1870882fa778c7fec7f16e3 and will release TensorFlow 2.4.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

Since this issue also impacts TF versions before 2.4, we will patch all releases between 1.15 and 2.3 inclusive.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

References

Affected packages

PyPI / tensorflow

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
1.15.5

Affected versions

0.*

0.12.0
0.12.1

1.*

1.0.0
1.0.1
1.1.0
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
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
1.15.4

PyPI / tensorflow

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.0.0
Fixed
2.0.4

Affected versions

2.*

2.0.0
2.0.1
2.0.2
2.0.3

PyPI / tensorflow

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.1.0
Fixed
2.1.3

Affected versions

2.*

2.1.0
2.1.1
2.1.2

PyPI / tensorflow

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.2.0
Fixed
2.2.2

Affected versions

2.*

2.2.0
2.2.1

PyPI / tensorflow

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.3.0
Fixed
2.3.2

Affected versions

2.*

2.3.0
2.3.1

PyPI / tensorflow-cpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
1.15.5

Affected versions

1.*

1.15.0

PyPI / tensorflow-cpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.0.0
Fixed
2.0.4

PyPI / tensorflow-cpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.1.0
Fixed
2.1.3

Affected versions

2.*

2.1.0
2.1.1
2.1.2

PyPI / tensorflow-cpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.2.0
Fixed
2.2.2

Affected versions

2.*

2.2.0
2.2.1

PyPI / tensorflow-cpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.3.0
Fixed
2.3.2

Affected versions

2.*

2.3.0
2.3.1

PyPI / tensorflow-gpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
1.15.5

Affected versions

0.*

0.12.0
0.12.1

1.*

1.0.0
1.0.1
1.1.0
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
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
1.15.4

PyPI / tensorflow-gpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.0.0
Fixed
2.0.4

Affected versions

2.*

2.0.0
2.0.1
2.0.2
2.0.3

PyPI / tensorflow-gpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.1.0
Fixed
2.1.3

Affected versions

2.*

2.1.0
2.1.1
2.1.2

PyPI / tensorflow-gpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.2.0
Fixed
2.2.2

Affected versions

2.*

2.2.0
2.2.1

PyPI / tensorflow-gpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.3.0
Fixed
2.3.2

Affected versions

2.*

2.3.0
2.3.1