8.8
CVE-2022-23559
- EPSS 1.17%
- Veröffentlicht 04.02.2022 23:15:13
- Zuletzt bearbeitet 21.11.2024 06:48:48
- Quelle security-advisories@github.com
- CVE-Watchlists
- Unerledigt
Integer overflow in TFLite
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Google ≫ Tensorflow Version <= 2.5.2
Google ≫ Tensorflow Version >= 2.6.0 <= 2.6.2
Google ≫ Tensorflow Version2.7.0
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 1.17% | 0.636 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| nvd@nist.gov | 8.8 | 2.8 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
|
| nvd@nist.gov | 6.5 | 8 | 6.4 |
AV:N/AC:L/Au:S/C:P/I:P/A:P
|
| security-advisories@github.com | 8.8 | 2.8 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
|
CWE-190 Integer Overflow or Wraparound
The product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. This occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number.
https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/kernels/embedding_lookup_sparse.cc#L179-L189
https://github.com/tensorflow/tensorflow/commit/1de49725a5fc4e48f1a3b902ec3599ee99283043
https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637b65baf64be4
https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e84f061a75e01
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98p5-x8x4-c9m5