Google TensorFlow up to 2.7.1/2.8.0/2.9.0 AudioSummaryV2 sample_rate assertion
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Google TensorFlow up to 2.7.1/2.8.0/2.9.0. This affects the function AudioSummaryV2. The manipulation of the argument sample_rate leads to assertion.
This vulnerability is documented as CVE-2022-35995. The attack can be initiated remotely. There is not any exploit available.
You should upgrade the affected component.
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. This issue affects the function AudioSummaryV2. The manipulation of the argument sample_rate 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 `AudioSummaryV2` receives an input `sample_rate` with more than one element, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf6b45244992e2ee543c258e519489659c99fb7f. 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-g9h5-vr8m-x2h4. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2022-35995 since 07/15/2022. Technical details of the vulnerability are known, but there is no available exploit.
Upgrading to version 2.7.2, 2.8.1, 2.9.1 or 2.10.0 eliminates this vulnerability. Applying the patch bf6b45244992e2ee543c258e519489659c99fb7f 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.
Statistical analysis made it clear that VulDB provides the best quality for 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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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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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: 🔍
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: bf6b45244992e2ee543c258e519489659c99fb7f
Timeline
07/15/2022 🔍09/17/2022 🔍
09/17/2022 🔍
10/19/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-g9h5-vr8m-x2h4
Status: Confirmed
CVE: CVE-2022-35995 (🔍)
GCVE (CVE): GCVE-0-2022-35995
GCVE (VulDB): GCVE-100-208931
Entry
Created: 09/17/2022 09:00Updated: 10/19/2022 18:28
Changes: 09/17/2022 09:00 (55), 10/19/2022 18:28 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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