Google TensorFlow up to 2.7.1/2.8.0/2.9.0 Unbatch assertion
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0. This vulnerability affects the function Unbatch. The manipulation leads to assertion.
This vulnerability is uniquely identified as CVE-2022-36002. The attack is possible to be carried out remotely. No exploit exists.
It is advisable to upgrade the affected component.
Details
A vulnerability, which was classified as problematic, has been found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 (Artificial Intelligence Software). This issue affects the function Unbatch. 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. The summary by CVE is:
TensorFlow is an open source platform for machine learning. When `Unbatch` receives a nonscalar input `id`, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 4419d10d576adefa36b0e0a9425d2569f7c0189f. 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 disclosed 09/17/2022 as GHSA-mh3m-62v7-68xg. The advisory is shared at github.com. The identification of this vulnerability is CVE-2022-36002 since 07/15/2022. Technical details are known, 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 4419d10d576adefa36b0e0a9425d2569f7c0189f 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.
Several companies clearly confirm that VulDB is the primary source for best 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: 5.7VulDB 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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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: AssertionCWE: CWE-617
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 2.7.2/2.8.1/2.9.1/2.10.0
Patch: 4419d10d576adefa36b0e0a9425d2569f7c0189f
Timeline
07/15/2022 🔍09/17/2022 🔍
09/17/2022 🔍
10/20/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-mh3m-62v7-68xg
Status: Confirmed
CVE: CVE-2022-36002 (🔍)
GCVE (CVE): GCVE-0-2022-36002
GCVE (VulDB): GCVE-100-208937
Entry
Created: 09/17/2022 09:03Updated: 10/20/2022 06:41
Changes: 09/17/2022 09:03 (54), 10/20/2022 06:41 (11)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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