Google TensorFlow prior 2.4.4/2.5.2/2.6.1/2.7.0 tf.math.segment_* integer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.8 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in Google TensorFlow. This issue affects the function tf.math.segment_*. This manipulation causes integer overflow.
This vulnerability is tracked as CVE-2021-41195. The attack is possible to be carried out remotely. No exploit exists.
It is recommended to upgrade the affected component.
Details
A vulnerability classified as problematic was found in Google TensorFlow (Artificial Intelligence Software). Affected by this vulnerability is the function tf.math.segment_*. The manipulation with an unknown input leads to a integer overflow vulnerability. The CWE definition for the vulnerability is CWE-190. The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. As an impact it is known to affect availability.
The weakness was disclosed 11/06/2021 as GHSA-cq76-mxrc-vchh. The advisory is shared at github.com. This vulnerability is known as CVE-2021-41195 since 09/15/2021. Technical details are known, but no exploit is available.
Upgrading to version 2.4.4, 2.5.2, 2.6.1 or 2.7.0 eliminates this vulnerability. Applying the patch e9c81c1e1a9cd8dd31f4e83676cab61b60658429 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
License
Website
- Vendor: https://www.google.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.9VulDB Meta Temp Score: 4.8
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 5.5
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: Integer overflowCWE: CWE-190 / CWE-189
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
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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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: TensorFlow 2.4.4/2.5.2/2.6.1/2.7.0
Patch: e9c81c1e1a9cd8dd31f4e83676cab61b60658429
Timeline
09/15/2021 🔍11/06/2021 🔍
11/06/2021 🔍
11/10/2021 🔍
Sources
Vendor: google.comAdvisory: GHSA-cq76-mxrc-vchh
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2021-41195 (🔍)
GCVE (CVE): GCVE-0-2021-41195
GCVE (VulDB): GCVE-100-186157
Entry
Created: 11/06/2021 08:42Updated: 11/10/2021 09:21
Changes: 11/06/2021 08:42 (52), 11/10/2021 09:21 (2)
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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