Google TensorFlow up to 2.6.3/2.7.1/2.8.0 tf.raw_ops.LoadAndRemapMatrix denial of service
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.2 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Google TensorFlow up to 2.6.3/2.7.1/2.8.0. Impacted is the function tf.raw_ops.LoadAndRemapMatrix. This manipulation causes denial of service.
This vulnerability is handled as CVE-2022-29199. The attack can be initiated remotely. There is not any exploit available.
It is suggested to upgrade the affected component.
Details
A vulnerability was found in Google TensorFlow up to 2.6.3/2.7.1/2.8.0 (Artificial Intelligence Software). It has been declared as problematic. Affected by this vulnerability is the function tf.raw_ops.LoadAndRemapMatrix. The manipulation with an unknown input leads to a denial of service vulnerability. The CWE definition for the vulnerability is CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. As an impact it is known to affect availability.
The weakness was released 05/22/2022 as GHSA-p9rc-rmr5-529j. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2022-29199 since 04/13/2022. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
Upgrading to version 2.6.4, 2.7.2, 2.8.1 or 2.9.0 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying the patch 3150642acbbe254e3c3c5d2232143fa591855ac9 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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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: 4.3VulDB Meta Temp Score: 4.2
VulDB Base Score: 3.1
VulDB Temp Score: 3.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 5.5
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Denial of serviceCWE: CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: TensorFlow 2.6.4/2.7.2/2.8.1/2.9.0
Patch: 3150642acbbe254e3c3c5d2232143fa591855ac9
Timeline
04/13/2022 🔍05/22/2022 🔍
05/22/2022 🔍
05/27/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-p9rc-rmr5-529j
Status: Confirmed
CVE: CVE-2022-29199 (🔍)
GCVE (CVE): GCVE-0-2022-29199
GCVE (VulDB): GCVE-100-200491
Entry
Created: 05/22/2022 05:08Updated: 05/27/2022 13:17
Changes: 05/22/2022 05:08 (54), 05/27/2022 13:17 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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