Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 edit_distance_op.cc tf.raw_ops.EditDistance null pointer dereference
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1. The affected element is the function tf.raw_ops.EditDistance of the file core/kernels/edit_distance_op.cc. The manipulation leads to null pointer dereference.
This vulnerability is documented as CVE-2021-29564. The attack can be initiated remotely. There is not any exploit available.
It is recommended to upgrade the affected component.
Details
A vulnerability was found in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 (Artificial Intelligence Software) and classified as problematic. This issue affects the function tf.raw_ops.EditDistance of the file core/kernels/edit_distance_op.cc. The manipulation with an unknown input leads to a null pointer dereference vulnerability. Using CWE to declare the problem leads to 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. Impacted is availability.
The weakness was released 05/15/2021. The advisory is shared at github.com. The identification of this vulnerability is CVE-2021-29564. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.
Upgrading to version 2.1.4, 2.2.3, 2.3.3, 2.4.2 or 2.5.0 eliminates this vulnerability. Applying a patch 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: 4.1
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
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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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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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: 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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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: TensorFlow 2.1.4/2.2.3/2.3.3/2.4.2/2.5.0
Patch: github.com
Timeline
03/30/2021 🔍05/15/2021 🔍
05/15/2021 🔍
05/19/2021 🔍
Sources
Vendor: google.comAdvisory: github.com
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2021-29564 (🔍)
GCVE (CVE): GCVE-0-2021-29564
GCVE (VulDB): GCVE-100-175181
Entry
Created: 05/15/2021 11:30Updated: 05/19/2021 14:32
Changes: 05/15/2021 11:30 (41), 05/19/2021 14:29 (6), 05/19/2021 14:32 (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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