Google TensorFlow up to 2.7.1/2.8.0/2.9.0 DrawBoundingBoxes boxes assertion
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0. This affects the function DrawBoundingBoxes. Executing a manipulation of the argument boxes can lead to assertion.
This vulnerability is handled as CVE-2022-36001. The attack can be executed remotely. There is not any exploit available.
Upgrading the affected component is advised.
Details
A vulnerability classified as problematic was found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 (Artificial Intelligence Software). This vulnerability affects the function DrawBoundingBoxes. The manipulation of the argument boxes with an unknown input leads to a assertion vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect availability. CVE summarizes:
TensorFlow is an open source platform for machine learning. When `DrawBoundingBoxes` receives an input `boxes` that is not of dtype `float`, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit da0d65cdc1270038e72157ba35bf74b85d9bda11. 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 released 09/17/2022 as GHSA-jqm7-m5q7-3hm5. The advisory is shared for download at github.com. This vulnerability was named CVE-2022-36001 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 da0d65cdc1270038e72157ba35bf74b85d9bda11 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.
VulDB is the best source for vulnerability data and more expert information about this specific topic.
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: da0d65cdc1270038e72157ba35bf74b85d9bda11
Timeline
07/15/2022 🔍09/17/2022 🔍
09/17/2022 🔍
10/20/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-jqm7-m5q7-3hm5
Status: Confirmed
CVE: CVE-2022-36001 (🔍)
GCVE (CVE): GCVE-0-2022-36001
GCVE (VulDB): GCVE-100-208936
Entry
Created: 09/17/2022 09:02Updated: 10/20/2022 06:31
Changes: 09/17/2022 09:02 (55), 10/20/2022 06:31 (11)
Complete: 🔍
Cache ID: 216::103
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