Google TensorFlow up to 2.6.3/2.7.1/2.8.0 tf.raw_ops.TensorSummaryV2 denial of service
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.2 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Google TensorFlow up to 2.6.3/2.7.1/2.8.0. It has been classified as problematic. Affected is the function tf.raw_ops.TensorSummaryV2. This manipulation causes denial of service.
This vulnerability is registered as CVE-2022-29193. Remote exploitation of the attack is possible. No exploit is available.
Upgrading the affected component is recommended.
Details
A vulnerability classified as problematic was found in Google TensorFlow up to 2.6.3/2.7.1/2.8.0 (Artificial Intelligence Software). Affected by this vulnerability is the function tf.raw_ops.TensorSummaryV2. 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 published 05/22/2022 as GHSA-2p9q-h29j-3f5v. The advisory is shared at github.com. This vulnerability is known as CVE-2022-29193 since 04/13/2022. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
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 290bb05c80c327ed74fae1d089f1001b1e2a4ef7 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 the best quality for vulnerability data then you always have to consider 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: 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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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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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: 🔍
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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: 290bb05c80c327ed74fae1d089f1001b1e2a4ef7
Timeline
04/13/2022 🔍05/22/2022 🔍
05/22/2022 🔍
05/27/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-2p9q-h29j-3f5v
Status: Confirmed
CVE: CVE-2022-29193 (🔍)
GCVE (CVE): GCVE-0-2022-29193
GCVE (VulDB): GCVE-100-200485
Entry
Created: 05/22/2022 05:05Updated: 05/27/2022 12:29
Changes: 05/22/2022 05:05 (54), 05/27/2022 12:29 (1)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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