Google TensorFlow up to 2.11.0 TFLite Model filter_input_channel comparison
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.8 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Google TensorFlow up to 2.11.0 and classified as problematic. This affects an unknown function of the component TFLite Model Handler. The manipulation of the argument filter_input_channel results in comparison. This vulnerability is identified as CVE-2023-27579. The attack can be executed remotely. There is not any exploit available. It is suggested to upgrade the affected component.
Details
A vulnerability was found in Google TensorFlow up to 2.11.0 (Artificial Intelligence Software). It has been classified as problematic. Affected is an unknown code of the component TFLite Model Handler. The manipulation of the argument filter_input_channel with an unknown input leads to a comparison vulnerability. CWE is classifying the issue as CWE-697. The product compares two entities in a security-relevant context, but the comparison is incorrect, which may lead to resultant weaknesses. This is going to have an impact on availability. CVE summarizes:
TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.
The weakness was released 03/25/2023 as GHSA-5w96-866f-6rm8. The advisory is shared for download at github.com. This vulnerability is traded as CVE-2023-27579 since 03/04/2023. Successful exploitation requires user interaction by the victim. There are known technical details, but no exploit is available.
Upgrading to version 2.11.1 or 2.12 eliminates this vulnerability. Applying the patch 34f8368c535253f5c9cb3a303297743b62442aaa 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.
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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: 5.9VulDB Meta Temp Score: 5.8
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.5
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: ComparisonCWE: CWE-697
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: TensorFlow 2.11.1/2.12
Patch: 34f8368c535253f5c9cb3a303297743b62442aaa
Timeline
03/04/2023 🔍03/25/2023 🔍
03/25/2023 🔍
03/25/2023 🔍
Sources
Vendor: google.comAdvisory: GHSA-5w96-866f-6rm8
Status: Confirmed
CVE: CVE-2023-27579 (🔍)
GCVE (CVE): GCVE-0-2023-27579
GCVE (VulDB): GCVE-100-223836
Entry
Created: 03/25/2023 07:47Changes: 03/25/2023 07:47 (55)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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