GHSA-fv43-93gv-vm8f

Suggest an improvement
Source
https://github.com/advisories/GHSA-fv43-93gv-vm8f
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/09/GHSA-fv43-93gv-vm8f/GHSA-fv43-93gv-vm8f.json
JSON Data
https://api.osv.dev/v1/vulns/GHSA-fv43-93gv-vm8f
Aliases
Published
2022-09-16T21:59:08Z
Modified
2023-12-06T01:02:28.570467Z
Severity
  • 5.9 (Medium) CVSS_V3 - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H CVSS Calculator
Summary
TensorFlow vulnerable to null dereference on MLIR on empty function attributes
Details

Impact

When mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it gives a null dereference.

// Import the function attributes with a `tf.` prefix to match the current
// infrastructure expectations.
for (const auto& namedAttr : func.attr()) {
  const std::string& name = "tf." + namedAttr.first;
  const AttrValue& tf_attr = namedAttr.second;
  TF_ASSIGN_OR_RETURN(Attribute attr,
                      ConvertAttributeValue(tf_attr, builder, tfgDialect));
  attrs.append(name, attr);
}

If namedAttr.first is empty, it will crash.

Patches

We have patched the issue in GitHub commit 1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.

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
2.7.2

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
1.15.5

2.*

2.0.0
2.0.1
2.0.2
2.0.3
2.0.4
2.1.0
2.1.1
2.1.2
2.1.3
2.1.4
2.2.0
2.2.1
2.2.2
2.2.3
2.3.0
2.3.1
2.3.2
2.3.3
2.3.4
2.4.0
2.4.1
2.4.2
2.4.3
2.4.4
2.5.0
2.5.1
2.5.2
2.5.3
2.6.0rc0
2.6.0rc1
2.6.0rc2
2.6.0
2.6.1
2.6.2
2.6.3
2.6.4
2.6.5
2.7.0rc0
2.7.0rc1
2.7.0
2.7.1

PyPI / tensorflow

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.8.0
Fixed
2.8.1

Affected versions

2.*

2.8.0

PyPI / tensorflow

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.9.0
Fixed
2.9.1

Affected versions

2.*

2.9.0

PyPI / tensorflow-cpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
2.7.2

Affected versions

1.*

1.15.0

2.*

2.1.0
2.1.1
2.1.2
2.1.3
2.1.4
2.2.0
2.2.1
2.2.2
2.2.3
2.3.0
2.3.1
2.3.2
2.3.3
2.3.4
2.4.0
2.4.1
2.4.2
2.4.3
2.4.4
2.5.0
2.5.1
2.5.2
2.5.3
2.6.0
2.6.1
2.6.2
2.6.3
2.6.4
2.6.5
2.7.0
2.7.1

PyPI / tensorflow-cpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.8.0
Fixed
2.8.1

Affected versions

2.*

2.8.0

PyPI / tensorflow-cpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.9.0
Fixed
2.9.1

Affected versions

2.*

2.9.0

PyPI / tensorflow-gpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
2.7.2

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
1.15.5

2.*

2.0.0
2.0.1
2.0.2
2.0.3
2.0.4
2.1.0
2.1.1
2.1.2
2.1.3
2.1.4
2.2.0
2.2.1
2.2.2
2.2.3
2.3.0
2.3.1
2.3.2
2.3.3
2.3.4
2.4.0
2.4.1
2.4.2
2.4.3
2.4.4
2.5.0
2.5.1
2.5.2
2.5.3
2.6.0
2.6.1
2.6.2
2.6.3
2.6.4
2.6.5
2.7.0rc0
2.7.0rc1
2.7.0
2.7.1

PyPI / tensorflow-gpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.8.0
Fixed
2.8.1

Affected versions

2.*

2.8.0

PyPI / tensorflow-gpu

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
2.9.0
Fixed
2.9.1

Affected versions

2.*

2.9.0