CVE-2023-25667
TensorFlow vulnerable to segfault when opening multiframe gif
Impact
### Impact Integer overflow occurs when 2^31 <= num_frames * height * width * channels < 2^32, for example Full HD screencast of at least 346 frames. ```python import urllib.request dat = urllib.request.urlopen('https://raw.githubusercontent.com/tensorflow/tensorflow/1c38ad9b78ffe06076745a1ee00cec42f39ff726/tensorflow/core/lib/gif/testdata/3g_multiframe.gif').read() import tensorflow as tf tf.io.decode_gif(dat) ``` ### Patches We have patched the issue in GitHub commit [8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d](https://github.com/tensorflow/tensorflow/commit/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d). The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1 ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Andrei
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | tensorflow | < 2.11.1 | 2.11.1 |
| pip | tensorflow-cpu | < 2.11.1 | 2.11.1 |
| pip | tensorflow-gpu | < 2.11.1 | 2.11.1 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Tensorflow | before 2.12.0 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/tensorflow/tensorflow/commit/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqm2-gh8w-gr68
- https://github.com/advisories/GHSA-fqm2-gh8w-gr68
- https://nvd.nist.gov/vuln/detail/CVE-2023-25667