Google Tensorflow up to 2.5.2/2.6.2/2.7.0 controlled assertion
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Google Tensorflow up to 2.5.2/2.6.2/2.7.0. This impacts an unknown function. This manipulation of the argument controlled causes assertion. This vulnerability is registered as CVE-2022-23564. Remote exploitation of the attack is possible. No exploit is available. You should upgrade the affected component.
Details
A vulnerability was found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0 (Artificial Intelligence Software). It has been declared as problematic. Affected by this vulnerability is some unknown functionality. The manipulation of the argument controlled with an unknown input leads to a assertion vulnerability. The CWE definition for the vulnerability is CWE-617. The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary. As an impact it is known to affect availability.
The weakness was published 02/05/2022 as GHSA-8rcj-c8pj-v3m3. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2022-23564 since 01/19/2022. Technical details of the vulnerability are known, but there is no available exploit.
Upgrading to version 2.5.3, 2.6.3, 2.7.1 or 2.8.0 eliminates this vulnerability. Applying the patch 14fea662350e7c26eb5fe1be2ac31704e5682ee6 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: 5.4VulDB Meta Temp Score: 5.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 6.5
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: AssertionCWE: CWE-617
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
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 2.5.3/2.6.3/2.7.1/2.8.0
Patch: 14fea662350e7c26eb5fe1be2ac31704e5682ee6
Timeline
01/19/2022 🔍02/05/2022 🔍
02/05/2022 🔍
02/07/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-8rcj-c8pj-v3m3
Status: Confirmed
CVE: CVE-2022-23564 (🔍)
GCVE (CVE): GCVE-0-2022-23564
GCVE (VulDB): GCVE-100-192355
Entry
Created: 02/05/2022 08:41Updated: 02/07/2022 12:09
Changes: 02/05/2022 08:41 (53), 02/07/2022 12:09 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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