CVE-2022-21733
Summary
| CVE | CVE-2022-21733 |
|---|---|
| State | PUBLIC |
| Assigner | [email protected] |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2022-02-03 12:15:00 UTC |
| Updated | 2022-02-09 03:11:00 UTC |
| Description | Tensorflow is an Open Source Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Risk And Classification
Problem Types: CWE-190
NVD Known Affected Configurations (CPE 2.3)
| Type | Vendor | Product | Version | Update | Edition | Language |
|---|---|---|---|---|---|---|
| Application | Tensorflow | 2.7.0 | All | All | All | |
| Application | Tensorflow | All | All | All | All | |
| Application | Tensorflow | All | All | All | All |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| OOM due to integer overflow in `StringNGrams` · Advisory · tensorflow/tensorflow · GitHub | CONFIRM | github.com | |
| Add a check for pad width to be a positive value. · tensorflow/tensorflow@f68fdab · GitHub | MISC | github.com | |
| tensorflow/string_ngrams_op.cc at 5100e359aef5c8021f2e71c7b986420b85ce7b3d · tensorflow/tensorflow · GitHub | MISC | github.com | |
| CVE Program record | CVE.ORG | www.cve.org | canonical |
| NVD vulnerability detail | NVD | nvd.nist.gov | canonical, analysis |
No vendor comments have been submitted for this CVE.
There are currently no legacy QID mappings associated with this CVE.