Data leak in Tensorflow
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- None
- Attack complexity
- Low
- Impact type
- Code execution
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Fixed
Attack profile from CVSS 3.1 · NVD. Fix status from CNA and GitHub. Impact type from CWE-119 and the CVSS impact.
Summary
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after `ee ff` are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. The issue is patched in commit 0462de5b544ed4731aa2fb23946ac22c01856b80, 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-g7p5-5759-qv46 |
| — | tensorflow (PyPI) | 2.0.0 to before 2.0.3 | 2.0.3 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow (PyPI) | 2.1.0 to before 2.1.2 | 2.1.2 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow-cpu (PyPI) | before 1.15.4 | 1.15.4 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow-cpu (PyPI) | 2.0.0 to before 2.0.3 | 2.0.3 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow-cpu (PyPI) | 2.1.0 to before 2.1.2 | 2.1.2 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow-cpu (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow-cpu (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow-gpu (PyPI) | before 1.15.4 | 1.15.4 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow-gpu (PyPI) | 2.0.0 to before 2.0.3 | 2.0.3 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow-gpu (PyPI) | 2.1.0 to before 2.1.2 | 2.1.2 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow-gpu (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-g7p5-5759-qv46 |
| — | tensorflow-gpu (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-g7p5-5759-qv46 |
- 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-g7p5-5759-qv46
- tensorflow (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-g7p5-5759-qv46
- tensorflow (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-g7p5-5759-qv46
- tensorflow (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-g7p5-5759-qv46
- tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-g7p5-5759-qv46
- tensorflow-cpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-g7p5-5759-qv46
- tensorflow-cpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-g7p5-5759-qv46
- tensorflow-cpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-g7p5-5759-qv46
- tensorflow-cpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-g7p5-5759-qv46
- tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-g7p5-5759-qv46
- tensorflow-gpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-g7p5-5759-qv46
- tensorflow-gpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-g7p5-5759-qv46
- tensorflow-gpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-g7p5-5759-qv46
- tensorflow-gpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-g7p5-5759-qv46
- tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-g7p5-5759-qv46
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
- Fix · GHSA-g7p5-5759-qv46 tensorflow (PyPI) Fixed in 1.15.4 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow (PyPI) Fixed in 2.0.3 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow (PyPI) Fixed in 2.1.2 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow (PyPI) Fixed in 2.3.1 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow-cpu (PyPI) Fixed in 1.15.4 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow-cpu (PyPI) Fixed in 2.0.3 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow-cpu (PyPI) Fixed in 2.1.2 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow-cpu (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow-cpu (PyPI) Fixed in 2.3.1 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow-gpu (PyPI) Fixed in 1.15.4 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow-gpu (PyPI) Fixed in 2.0.3 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow-gpu (PyPI) Fixed in 2.1.2 Advisory →
- Fix · GHSA-g7p5-5759-qv46 tensorflow-gpu (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-g7p5-5759-qv46 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-2020-11979 Segfault and data corruption in tensorflow-litePriority MEDIUM 41
- TI-2020-11978 Denial of Service in TensorflowPriority MEDIUM 41
Timeline
- 2026-10-02 Threatist record created from CVE-2020-15205
- 2026-10-03 Alias added: GHSA-g7p5-5759-qv46
References
Advisory 3
Other 4
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-285.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-320.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-128.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-2020-15205 · CVE Program
- CVE-2020-15205 · NVD
- FIRST EPSS
- GHSA-g7p5-5759-qv46 · GitHub Advisory Database · CC BY 4.0
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