Google TensorFlow up to 2.7.1/2.8.0/2.9.0 QuantizeAndDequantizeV3 assertion
CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
5.7 | $0-$5k | 0.00 |
A vulnerability classified as problematic has been found in Google TensorFlow up to 2.7.1/2.8.0/2.9.0 (Artificial Intelligence Software). Affected is the function QuantizeAndDequantizeV3
. The manipulation with an unknown input leads to a assertion vulnerability. CWE is classifying the issue as 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. This is going to have an impact on availability. CVE summarizes:
TensorFlow is an open source platform for machine learning. If `QuantizeAndDequantizeV3` is given a nonscalar `num_bits` input tensor, 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 f3f9cb38ecfe5a8a703f2c4a8fead434ef291713. 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-9cr2-8pwr-fhfq. The advisory is shared for download at github.com. This vulnerability is traded as CVE-2022-36026 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 f3f9cb38ecfe5a8a703f2c4a8fead434ef291713 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.
The entries VDB-223853, VDB-223854, VDB-223855 and VDB-223856 are related to this item.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB CVSS-B Score: 🔍VulDB CVSS-BT Score: 🔍
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
AV | AC | Au | C | I | A |
---|---|---|---|---|---|
💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
---|---|---|---|---|---|
unlock | unlock | unlock | unlock | unlock | unlock |
unlock | unlock | unlock | unlock | unlock | unlock |
unlock | unlock | unlock | unlock | unlock | unlock |
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 |
---|---|---|---|---|
Today | unlock | unlock | unlock | unlock |
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: f3f9cb38ecfe5a8a703f2c4a8fead434ef291713
Timeline
07/15/2022 🔍09/17/2022 🔍
09/17/2022 🔍
10/20/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-9cr2-8pwr-fhfq
Status: Confirmed
CVE: CVE-2022-36026 (🔍)
See also: 🔍
Entry
Created: 09/17/2022 09:07Updated: 10/20/2022 07:28
Changes: 09/17/2022 09:07 (54), 10/20/2022 07:28 (11)
Complete: 🔍
Cache ID: 18:5AC:103
No comments yet. Languages: en.
Please log in to comment.