CVE-2020-26266
critical
CVSS v3
—
CVSS v2
—
VIR risk
9.5
Description
In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Predictions
Exploit likelihood
20%
Patch ETA
—
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
Vendor advisory: debian — https://security-tracker.debian.org/tracker/CVE-2020-26266
Vendor advisory: arch — https://security.archlinux.org/ASA-202012-22
OS impact
| OS | Version | Status | Fixed in |
|---|---|---|---|
| arch | fixed | 2.4.0-1 | |
| debian | forky | fixed | 0 |
| debian | sid | fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | tensorflow | <1.15.5 | 1.15.5 |
| PyPI | tensorflow | >=2.0.0,<2.0.4 | 2.0.4 |
| PyPI | tensorflow | >=2.1.0,<2.1.3 | 2.1.3 |
| PyPI | tensorflow | >=2.2.0,<2.2.2 | 2.2.2 |
| PyPI | tensorflow | >=2.3.0,<2.3.2 | 2.3.2 |
| PyPI | tensorflow-cpu | <1.15.5 | 1.15.5 |
| PyPI | tensorflow-cpu | >=2.0.0,<2.0.4 | 2.0.4 |
| PyPI | tensorflow-cpu | >=2.1.0,<2.1.3 | 2.1.3 |
| PyPI | tensorflow-cpu | >=2.2.0,<2.2.2 | 2.2.2 |
| PyPI | tensorflow-cpu | >=2.3.0,<2.3.2 | 2.3.2 |
| PyPI | tensorflow-gpu | <1.15.5 | 1.15.5 |
| PyPI | tensorflow-gpu | >=2.0.0,<2.0.4 | 2.0.4 |
| PyPI | tensorflow-gpu | >=2.1.0,<2.1.3 | 2.1.3 |
| PyPI | tensorflow-gpu | >=2.2.0,<2.2.2 | 2.2.2 |
| PyPI | tensorflow-gpu | >=2.3.0,<2.3.2 | 2.3.2 |
| PyPI | tensorflow | <ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2||>=2.3.0,<2.3.2 | ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 |
| PyPI | tensorflow-cpu | <ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2||>=2.3.0,<2.3.2 | ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 |
| PyPI | tensorflow-gpu | <ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2||>=2.3.0,<2.3.2 | ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 |
References
- https://security.archlinux.org/ASA-202012-22
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2
- https://nvd.nist.gov/vuln/detail/CVE-2020-26266
- https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-297.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-332.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-254.yaml
- https://github.com/tensorflow/tensorflow
- https://security-tracker.debian.org/tracker/CVE-2020-26266
Verify integrity in audit chain (admin only). AS-IS.