Google Tensorflow up to 2.5.2/2.6.2/2.7.0 assertion
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0. It has been rated as problematic. This issue affects some unknown processing. Performing a manipulation results in assertion. This vulnerability is cataloged as CVE-2022-23583. It is possible to initiate the attack remotely. There is no exploit available. Upgrading the affected component is advised.
Details
A vulnerability classified as problematic has been found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0 (Artificial Intelligence Software). This affects an unknown function. The manipulation with an unknown input leads to a assertion vulnerability. CWE is classifying the issue as 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. This is going to have an impact on availability.
The weakness was shared 02/05/2022 as GHSA-gjqc-q9g6-q2j3. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2022-23583 since 01/19/2022. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 2.5.3, 2.6.3, 2.7.1 or 2.8.0 eliminates this vulnerability. Applying the patch a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 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: a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9
Timeline
01/19/2022 🔍02/05/2022 🔍
02/05/2022 🔍
02/07/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-gjqc-q9g6-q2j3
Status: Confirmed
CVE: CVE-2022-23583 (🔍)
GCVE (CVE): GCVE-0-2022-23583
GCVE (VulDB): GCVE-100-192339
Entry
Created: 02/05/2022 08:21Updated: 02/07/2022 10:17
Changes: 02/05/2022 08:21 (52), 02/07/2022 10:17 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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