Google TensorFlow up to 2.7.1/2.8.0/2.9.0 FakeQuantWithMinMaxVarsPerChannel assertion

CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
5.7 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0. It has been classified as problematic. This affects the function FakeQuantWithMinMaxVarsPerChannel
. The manipulation leads to assertion.
This vulnerability is uniquely identified as CVE-2022-36019. It is possible to initiate the attack remotely. There is no exploit available.
It is recommended to upgrade the affected component.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Details
A vulnerability was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 (Artificial Intelligence Software) and classified as problematic. Affected by this issue is the function FakeQuantWithMinMaxVarsPerChannel
. The manipulation with an unknown input leads to a assertion vulnerability. Using CWE to declare the problem leads to 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. Impacted is availability. CVE summarizes:
TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVarsPerChannel` is given `min` or `max` tensors of a rank other than one, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
The weakness was shared 09/17/2022 as GHSA-9j4v-pp28-mxv7. The advisory is shared for download at github.com. This vulnerability is handled as CVE-2022-36019 since 07/15/2022. There are known technical details, but no exploit is available.
Upgrading to version 2.7.2, 2.8.1, 2.9.1 or 2.10.0 eliminates this vulnerability. Applying the patch 785d67a78a1d533759fcd2f5e8d6ef778de849e0 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 best quality of vulnerability data, you may have to visit VulDB.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.7VulDB Meta Temp Score: 5.7
VulDB Base Score: 3.7
VulDB Temp Score: 3.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CNA Base Score: 5.9
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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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: 🔍
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 2.7.2/2.8.1/2.9.1/2.10.0
Patch: 785d67a78a1d533759fcd2f5e8d6ef778de849e0
Timeline
07/15/2022 🔍09/17/2022 🔍
09/17/2022 🔍
10/19/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-9j4v-pp28-mxv7
Status: Confirmed
CVE: CVE-2022-36019 (🔍)
GCVE (CVE): GCVE-0-2022-36019
GCVE (VulDB): GCVE-100-208904
Entry
Created: 09/17/2022 08:22 AMUpdated: 10/19/2022 03:22 PM
Changes: 09/17/2022 08:22 AM (54), 10/19/2022 03:22 PM (11)
Complete: 🔍
Cache ID: 18:34F:40
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