CVE-2021-29603
Last modified
CVE-2021-29603 is a high-severity vulnerability rated 7.8/10 on the CVSS scale. TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of `ArgMin`/`ArgMax`(https://github.com/tensorflow/tensorflow/blob/102b211d892f3abc14f845a72047809b39cc65ab/tensorflow/lite/kernels/arg_min_max.cc#L52-L59). EPSS estimates a 0.20% chance of exploitation in the next 30 days.
Description
TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of `ArgMin`/`ArgMax`(https://github.com/tensorflow/tensorflow/blob/102b211d892f3abc14f845a72047809b39cc65ab/tensorflow/lite/kernels/arg_min_max.cc#L52-L59). If `axis_value` is not a value between 0 and `NumDimensions(input)`, then the condition in the `if` is never true, so code writes past the last valid element of `output_dims->data`. 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.
Metrics
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.1.4 | |
| Tensorflow | >= 2.2.0, < 2.2.3 | |
| Tensorflow | >= 2.3.0, < 2.3.3 | |
| Tensorflow | >= 2.4.0, < 2.4.2 |
References
- https://github.com/tensorflow/tensorflow/commit/c59c37e7b2d563967da813fa50fe20b21f4da683Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-crch-j389-5f84Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/c59c37e7b2d563967da813fa50fe20b21f4da683Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-crch-j389-5f84Exploit, Patch, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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