Google TensorFlow up to 2.6.3/2.7.1/2.8.0/2.8.x tf.raw_ops.QuantizedConv2D null pointer dereference
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.2 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in Google TensorFlow up to 2.6.3/2.7.1/2.8.0/2.8.x. The impacted element is the function tf.raw_ops.QuantizedConv2D. Performing a manipulation results in null pointer dereference.
This vulnerability was named CVE-2022-29201. The attack may be initiated remotely. There is no available exploit.
It is recommended to upgrade the affected component.
Details
A vulnerability classified as problematic has been found in Google TensorFlow up to 2.6.3/2.7.1/2.8.0/2.8.x (Artificial Intelligence Software). This affects the function tf.raw_ops.QuantizedConv2D. The manipulation with an unknown input leads to a null pointer dereference vulnerability. CWE is classifying the issue as CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. This is going to have an impact on availability.
The weakness was presented 05/22/2022 as GHSA-pqhm-4wvf-2jg8. The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2022-29201 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.
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 0f0b080ecde4d3dfec158d6f60da34d5e31693c4 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: Null pointer dereferenceCWE: CWE-476 / 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: 0f0b080ecde4d3dfec158d6f60da34d5e31693c4
Timeline
04/13/2022 🔍05/22/2022 🔍
05/22/2022 🔍
05/27/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-pqhm-4wvf-2jg8
Status: Confirmed
CVE: CVE-2022-29201 (🔍)
GCVE (CVE): GCVE-0-2022-29201
GCVE (VulDB): GCVE-100-200493
Entry
Created: 05/22/2022 05:08Updated: 05/27/2022 13:29
Changes: 05/22/2022 05:08 (54), 05/27/2022 13:29 (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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