Heap out of bounds read in `RequantizationRange`
Priority LOW 31CWE-125Published · Updated
Key facts
- Attack vector
- Local
- Privileges required
- Low
- User interaction
- None
- Attack complexity
- Low
- Impact type
- —
- Confidentiality · integrity · availability
- High · None · High
- Fix status
- Fixed
Attack profile from CVSS 3.1 · NVD. Fix status from CNA and GitHub.
Summary
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ac328eaa3870491ababc147822cd04e91a790643/tensorflow/core/kernels/requantization_range_op.cc#L49-L50) assumes that the `input_min` and `input_max` tensors have at least one element, as it accesses the first element in two arrays. If the tensors are empty, `.flat<T>()` is an empty object, backed by an empty array. Hence, accesing even the 0th element is a read outside the bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Why it matters now
EPSS 0.00198 9th percentileScored 2026-11-07
Public exploit Yes 1 exploit referenceTagged by NVD
Fix Fixed tensorflow (tensorflow): 2.1.4, 2.2.3, 2.3.3 +1tensorflow (PyPI): 2.1.4, 2.2.3, 2.3.3 +1+2 more products
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 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2 | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | Patch available | CNA | |
| — | tensorflow (PyPI) | before 2.1.4 | 2.1.4 | Patch available | GHSA-3h8m-483j-7xxm |
| — | tensorflow (PyPI) | 2.2.0 to before 2.2.3 | 2.2.3 | Patch available | GHSA-3h8m-483j-7xxm |
| — | tensorflow (PyPI) | 2.3.0 to before 2.3.3 | 2.3.3 | Patch available | GHSA-3h8m-483j-7xxm |
| — | tensorflow (PyPI) | 2.4.0 to before 2.4.2 | 2.4.2 | Patch available | GHSA-3h8m-483j-7xxm |
| — | tensorflow-cpu (PyPI) | before 2.1.4 | 2.1.4 | Patch available | GHSA-3h8m-483j-7xxm |
| — | tensorflow-cpu (PyPI) | 2.2.0 to before 2.2.3 | 2.2.3 | Patch available | GHSA-3h8m-483j-7xxm |
| — | tensorflow-cpu (PyPI) | 2.3.0 to before 2.3.3 | 2.3.3 | Patch available | GHSA-3h8m-483j-7xxm |
| — | tensorflow-cpu (PyPI) | 2.4.0 to before 2.4.2 | 2.4.2 | Patch available | GHSA-3h8m-483j-7xxm |
| — | tensorflow-gpu (PyPI) | before 2.1.4 | 2.1.4 | Patch available | GHSA-3h8m-483j-7xxm |
| — | tensorflow-gpu (PyPI) | 2.2.0 to before 2.2.3 | 2.2.3 | Patch available | GHSA-3h8m-483j-7xxm |
| — | tensorflow-gpu (PyPI) | 2.3.0 to before 2.3.3 | 2.3.3 | Patch available | GHSA-3h8m-483j-7xxm |
| — | tensorflow-gpu (PyPI) | 2.4.0 to before 2.4.2 | 2.4.2 | Patch available | GHSA-3h8m-483j-7xxm |
- tensorflow VendorGoogle Affected before 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2 Fixed in 2.1.4, 2.2.3, 2.3.3, 2.4.2 Patch available CNA
- tensorflow (PyPI) Vendor— Affected before 2.1.4 Fixed in 2.1.4 Patch available GHSA-3h8m-483j-7xxm
- tensorflow (PyPI) Vendor— Affected 2.2.0 to before 2.2.3 Fixed in 2.2.3 Patch available GHSA-3h8m-483j-7xxm
- tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-3h8m-483j-7xxm
- tensorflow (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-3h8m-483j-7xxm
- tensorflow-cpu (PyPI) Vendor— Affected before 2.1.4 Fixed in 2.1.4 Patch available GHSA-3h8m-483j-7xxm
- tensorflow-cpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.3 Fixed in 2.2.3 Patch available GHSA-3h8m-483j-7xxm
- tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-3h8m-483j-7xxm
- tensorflow-cpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-3h8m-483j-7xxm
- tensorflow-gpu (PyPI) Vendor— Affected before 2.1.4 Fixed in 2.1.4 Patch available GHSA-3h8m-483j-7xxm
- tensorflow-gpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.3 Fixed in 2.2.3 Patch available GHSA-3h8m-483j-7xxm
- tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-3h8m-483j-7xxm
- tensorflow-gpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-3h8m-483j-7xxm
CPE configurations NVD · 1
| CPE | Versions | Role | Vendor |
|---|---|---|---|
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | before 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2 | Vulnerable |
- cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* Versions before 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2 Vulnerable ·Google
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 2.1.4, 2.2.3, 2.3.3, 2.4.2
- Fix · GHSA-3h8m-483j-7xxm tensorflow (PyPI) Fixed in 2.1.4 Advisory →
- Fix · GHSA-3h8m-483j-7xxm tensorflow (PyPI) Fixed in 2.2.3 Advisory →
- Fix · GHSA-3h8m-483j-7xxm tensorflow (PyPI) Fixed in 2.3.3 Advisory →
- Fix · GHSA-3h8m-483j-7xxm tensorflow (PyPI) Fixed in 2.4.2 Advisory →
- Fix · GHSA-3h8m-483j-7xxm tensorflow-cpu (PyPI) Fixed in 2.1.4 Advisory →
- Fix · GHSA-3h8m-483j-7xxm tensorflow-cpu (PyPI) Fixed in 2.2.3 Advisory →
- Fix · GHSA-3h8m-483j-7xxm tensorflow-cpu (PyPI) Fixed in 2.3.3 Advisory →
- Fix · GHSA-3h8m-483j-7xxm tensorflow-cpu (PyPI) Fixed in 2.4.2 Advisory →
- Fix · GHSA-3h8m-483j-7xxm tensorflow-gpu (PyPI) Fixed in 2.1.4 Advisory →
- Fix · GHSA-3h8m-483j-7xxm tensorflow-gpu (PyPI) Fixed in 2.2.3 Advisory →
- Fix · GHSA-3h8m-483j-7xxm tensorflow-gpu (PyPI) Fixed in 2.3.3 Advisory →
- Fix · GHSA-3h8m-483j-7xxm tensorflow-gpu (PyPI) Fixed in 2.4.2 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2021-29569
- 2026-10-03 Alias added: GHSA-3h8m-483j-7xxm
References
Other 4
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-497.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-695.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-206.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-2021-29569 · CVE Program
- CVE-2021-29569 · NVD
- FIRST EPSS
- GHSA-3h8m-483j-7xxm · GitHub Advisory Database · CC BY 4.0
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