Google TensorFlow up to 2.8.3/2.9.2/2.10.0 out-of-bounds
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.8 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Google TensorFlow up to 2.8.3/2.9.2/2.10.0 and classified as problematic. Affected is an unknown function. Such manipulation leads to out-of-bounds. This vulnerability is listed as CVE-2022-41883. The attack may be performed from remote. There is no available exploit. It is suggested to upgrade the affected component.
Details
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 code. The manipulation 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. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. 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 presented 11/19/2022 as GHSA-w58w-79xv-6vcj. The advisory is available at github.com. This vulnerability is handled as CVE-2022-41883 since 09/30/2022. Successful exploitation requires user interaction by the victim. The technical details are unknown and an exploit is not available.
Upgrading to version 2.8.4, 2.9.3, 2.10.1 or 2.11 eliminates this vulnerability. Applying the patch f5381e0e10b5a61344109c1b7c174c68110f7629 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.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.google.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.8VulDB Meta Temp Score: 5.8
VulDB Base Score: 3.1
VulDB Temp Score: 3.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CNA Base Score: 6.8
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Out-of-boundsCWE: CWE-125 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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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: f5381e0e10b5a61344109c1b7c174c68110f7629
Timeline
09/30/2022 🔍11/19/2022 🔍
11/19/2022 🔍
12/20/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-w58w-79xv-6vcj
Status: Confirmed
CVE: CVE-2022-41883 (🔍)
GCVE (CVE): GCVE-0-2022-41883
GCVE (VulDB): GCVE-100-213938
Entry
Created: 11/19/2022 08:17Updated: 12/20/2022 12:03
Changes: 11/19/2022 08:17 (53), 12/20/2022 12:03 (12)
Complete: 🔍
Cache ID: 216::103
If you want to get best quality of vulnerability data, you may have to visit VulDB.
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