Denial of Service in Tensorflow
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- None
- Attack complexity
- High
- Impact type
- —
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Fixed
Attack profile from CVSS 3.1 · CNA. Fix status from CNA and GitHub.
Summary
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Why it matters now
SSVC decision points
Not available: CISA has not published SSVC decision points for this record.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| tensorflow | before 1.15.4; 2.0.0 to before 2.0.3; 2.1.0 to before 2.1.2; 2.2.0 to before 2.2.1; 2.3.0 to before 2.3.1 | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 | Patch available | CNA | |
| — | tensorflow (PyPI) | before 1.15.4 | 1.15.4 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow (PyPI) | 2.0.0 to before 2.0.3 | 2.0.3 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow (PyPI) | 2.1.0 to before 2.1.2 | 2.1.2 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow-cpu (PyPI) | before 1.15.4 | 1.15.4 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow-cpu (PyPI) | 2.0.0 to before 2.0.3 | 2.0.3 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow-cpu (PyPI) | 2.1.0 to before 2.1.2 | 2.1.2 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow-cpu (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow-cpu (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow-gpu (PyPI) | before 1.15.4 | 1.15.4 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow-gpu (PyPI) | 2.0.0 to before 2.0.3 | 2.0.3 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow-gpu (PyPI) | 2.1.0 to before 2.1.2 | 2.1.2 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow-gpu (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-w5gh-2wr2-pm6g |
| — | tensorflow-gpu (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-w5gh-2wr2-pm6g |
- tensorflow VendorGoogle Affected before 1.15.4; 2.0.0 to before 2.0.3; 2.1.0 to before 2.1.2; 2.2.0 to before 2.2.1; 2.3.0 to before 2.3.1 Fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 Patch available CNA
- tensorflow (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow-cpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow-cpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow-cpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow-cpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow-gpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow-gpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow-gpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow-gpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-w5gh-2wr2-pm6g
- tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-w5gh-2wr2-pm6g
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow (PyPI) Fixed in 1.15.4 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow (PyPI) Fixed in 2.0.3 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow (PyPI) Fixed in 2.1.2 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow (PyPI) Fixed in 2.3.1 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow-cpu (PyPI) Fixed in 1.15.4 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow-cpu (PyPI) Fixed in 2.0.3 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow-cpu (PyPI) Fixed in 2.1.2 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow-cpu (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow-cpu (PyPI) Fixed in 2.3.1 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow-gpu (PyPI) Fixed in 1.15.4 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow-gpu (PyPI) Fixed in 2.0.3 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow-gpu (PyPI) Fixed in 2.1.2 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow-gpu (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-w5gh-2wr2-pm6g tensorflow-gpu (PyPI) Fixed in 2.3.1 Advisory →
Fixed in the same release
Records fixed by the same vendor advisory or release, as the CNA lists them.
- Advisory ·
tensorflow — openSUSE-SU-2020:1766
16 records Highest priority Priority MEDIUM 6 MEDIUM, 10 LOW
Other records, highest priority first
- TI-2020-11980 Data corruption in tensorflow-litePriority MEDIUM 44
- TI-2020-11977 Data leak in TensorflowPriority MEDIUM 44
- TI-2020-11979 Segfault and data corruption in tensorflow-litePriority MEDIUM 41
Timeline
- 2026-10-02 Threatist record created from CVE-2020-15206
- 2026-10-03 Alias added: GHSA-w5gh-2wr2-pm6g
References
Advisory 3
Other 6
- https://github.com/tensorflow/tensorflow/commit/f760f88b4267d981e13f4b302c437ae800445968
- https://github.com/tensorflow/tensorflow/commit/fcfef195637c6e365577829c4d67681695956e7d
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-286.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-321.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-129.yaml
- https://github.com/tensorflow/tensorflow
More Google Tensorflow vulnerabilities
- TI-2022-20241 FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow CVSS 3.1CRITICAL 9.8
- TI-2022-07640 Integer overflow in Tensorflow CVSS 3.1CRITICAL 9.8
- TI-2022-07627 Out of bounds read and write in Tensorflow CVSS 3.1HIGH 8.8
- TI-2022-07619 Out of bounds write in Tensorflow CVSS 3.1HIGH 8.8
- TI-2022-07613 Read and Write outside of bounds in TFLite CVSS 3.1HIGH 8.8
- TI-2022-07612 Integer overflow in TFLite CVSS 3.1HIGH 8.8
Sources
- CVE-2020-15206 · CVE Program
- CVE-2020-15206 · NVD
- FIRST EPSS
- GHSA-w5gh-2wr2-pm6g · GitHub Advisory Database · CC BY 4.0
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