Google TensorFlow up to 2.8.3/2.9.2/2.10.0 MirrorPadGrad out-of-bounds
CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
5.1 | $0-$5k | 0.00 |
A vulnerability was found in Google TensorFlow up to 2.8.3/2.9.2/2.10.0 (Artificial Intelligence Software). It has been rated as problematic. Affected by this issue is an unknown functionality. The manipulation of the argument MirrorPadGrad
with an unknown input leads to a out-of-bounds vulnerability. Using CWE to declare the problem leads to CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. Impacted is availability. CVE summarizes:
TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
The weakness was released 11/19/2022 as GHSA-gq2j-cr96-gvqx. The advisory is shared for download at github.com. This vulnerability is handled as CVE-2022-41895 since 09/30/2022. Successful exploitation requires user interaction by the victim. There are known technical details, but no exploit is available.
Upgrading to version 2.8.4, 2.9.3, 2.10.1 or 2.11 eliminates this vulnerability. Applying the patch 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB CVSS-B Score: 🔍VulDB CVSS-BT Score: 🔍
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.1VulDB Meta Temp Score: 5.1
VulDB Base Score: 3.1
VulDB Temp Score: 3.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CNA Base Score: 4.8
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
AV | AC | Au | C | I | A |
---|---|---|---|---|---|
💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
---|---|---|---|---|---|
unlock | unlock | unlock | unlock | unlock | unlock |
unlock | unlock | unlock | unlock | unlock | unlock |
unlock | unlock | unlock | unlock | unlock | unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Out-of-boundsCWE: CWE-125 / CWE-119
ATT&CK: Unknown
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
0-Day | unlock | unlock | unlock | unlock |
---|---|---|---|---|
Today | unlock | unlock | unlock | unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: TensorFlow 2.8.4/2.9.3/2.10.1/2.11
Patch: 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92
Timeline
09/30/2022 🔍11/19/2022 🔍
11/19/2022 🔍
12/20/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-gq2j-cr96-gvqx
Status: Confirmed
CVE: CVE-2022-41895 (🔍)
Entry
Created: 11/19/2022 08:38Updated: 12/20/2022 13:59
Changes: 11/19/2022 08:38 (54), 12/20/2022 13:59 (12)
Complete: 🔍
No comments yet. Languages: en.
Please log in to comment.