Buffer overflow in Google Tensorflow
CVE-2021-29610
TensorFlow is an end-to-end open source platform for machine learning. The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions. If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. 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.
Vulnerability class: Dirty Pipe (CVE-2022-0847)
Published · last modified .
CVSS v3 metric
CVSS v3 base score 3.6 (Low). Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L.
EPSS exploit prediction
EPSS: 0.002 (8.9th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 9th percentile — 8.9% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.002 · newest: 0.002 · change: 0.000
Affected products
- Google Tensorflow
- Tensorflow — versions < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3
Weakness classification (CWE)
References
- github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3h (Exploit, Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9 (Patch, Third Party Advisory)
Frequently asked questions
- What is CVE-2021-29610?
- CVE-2021-29610 is a low-severity vulnerability in Google Tensorflow, classified under Improper Initialization. CVSS score: 3.6/10. Published 2021-05-14.
- How severe is CVE-2021-29610?
- Low severity. CVSS v3 base score is 3.6 out of 10.