Google Tensorflow up to 2.5.2/2.6.2/2.7.0 TFLite Model BiasAndClamp divide by zero
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0 and classified as problematic. This vulnerability affects the function BiasAndClamp of the component TFLite Model Handler. This manipulation causes divide by zero.
The identification of this vulnerability is CVE-2022-23557. It is possible to initiate the attack remotely. There is no exploit available.
The affected component should be upgraded.
Details
A vulnerability classified as problematic was found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0 (Artificial Intelligence Software). Affected by this vulnerability is the function BiasAndClamp of the component TFLite Model Handler. The manipulation with an unknown input leads to a divide by zero vulnerability. The CWE definition for the vulnerability is CWE-369. The product divides a value by zero. As an impact it is known to affect availability.
The weakness was shared 02/05/2022 as GHSA-gf2j-f278-xh4v. The advisory is shared at github.com. This vulnerability is known as CVE-2022-23557 since 01/19/2022. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
Upgrading to version 2.5.3, 2.6.3, 2.7.1 or 2.8.0 eliminates this vulnerability. Applying the patch 8c6f391a2282684a25cbfec7687bd5d35261a209 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 the best quality for vulnerability data then you always have to consider VulDB.
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: 5.4VulDB Meta Temp Score: 5.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Divide by zeroCWE: CWE-369 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
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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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Tensorflow 2.5.3/2.6.3/2.7.1/2.8.0
Patch: 8c6f391a2282684a25cbfec7687bd5d35261a209
Timeline
01/19/2022 🔍02/05/2022 🔍
02/05/2022 🔍
02/07/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-gf2j-f278-xh4v
Status: Confirmed
CVE: CVE-2022-23557 (🔍)
GCVE (CVE): GCVE-0-2022-23557
GCVE (VulDB): GCVE-100-192349
Entry
Created: 02/05/2022 08:29Updated: 02/07/2022 11:23
Changes: 02/05/2022 08:29 (54), 02/07/2022 11:23 (1)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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