Google Tensorflow up to 2.5.2/2.6.2/2.7.0 StringNGrams pad_witdh resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.0 | $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. Affected by this issue is the function StringNGrams. Performing a manipulation of the argument pad_witdh results in resource consumption.
This vulnerability is identified as CVE-2022-21733. The attack can be initiated remotely. There is not any exploit available.
Upgrading the affected component is advised.
Details
A vulnerability, which was classified as problematic, was found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0 (Artificial Intelligence Software). This affects the function StringNGrams. The manipulation of the argument pad_witdh with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. This is going to have an impact on availability.
The weakness was released 02/03/2022 as GHSA-98j8-c9q4-r38g. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2022-21733 since 11/16/2021. 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 2.5.3, 2.6.3, 2.7.1 or 2.8.0 eliminates this vulnerability. Applying the patch f68fdab93fb7f4ddb4eb438c8fe052753c9413e8 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: 5.0VulDB Meta Temp Score: 5.0
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CNA Base Score: 4.3
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: 🔍
NVD Base Score: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
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: f68fdab93fb7f4ddb4eb438c8fe052753c9413e8
Timeline
11/16/2021 🔍02/03/2022 🔍
02/03/2022 🔍
05/06/2025 🔍
Sources
Vendor: google.comAdvisory: GHSA-98j8-c9q4-r38g
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2022-21733 (🔍)
GCVE (CVE): GCVE-0-2022-21733
GCVE (VulDB): GCVE-100-192171
Entry
Created: 02/03/2022 15:08Updated: 05/06/2025 05:15
Changes: 02/03/2022 15:08 (54), 02/05/2022 08:27 (2), 05/06/2025 05:15 (33)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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