Google Android param_util.c append_to_params out-of-bounds write
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.4 | $5k-$25k | 0.00 |
Summary
A vulnerability was found in Google Android. It has been rated as critical. The impacted element is the function append_to_params of the file param_util.c. Performing a manipulation results in out-of-bounds write.
This vulnerability was named CVE-2023-21041. The attack needs to be approached locally. There is no available exploit.
To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability, which was classified as critical, was found in Google Android (Smartphone Operating System) (version unknown). This affects the function append_to_params of the file param_util.c. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. CWE is classifying the issue as CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
In append_to_params of param_util.c, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-250123688References: N/A
The weakness was presented 03/25/2023 as A-250123688. It is possible to read the advisory at source.android.com. This vulnerability is uniquely identified as CVE-2023-21041 since 11/03/2022. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 09/08/2025). It is expected to see the exploit prices for this product increasing in the near future.
Applying a patch is able to eliminate this problem.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2023-25209). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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: 6.5VulDB Meta Temp Score: 6.4
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
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: Out-of-bounds writeCWE: CWE-787 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: No
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: PatchStatus: 🔍
0-Day Time: 🔍
Timeline
11/03/2022 🔍03/25/2023 🔍
03/25/2023 🔍
09/08/2025 🔍
Sources
Vendor: google.comAdvisory: A-250123688
Status: Confirmed
CVE: CVE-2023-21041 (🔍)
GCVE (CVE): GCVE-0-2023-21041
GCVE (VulDB): GCVE-100-223923
EUVD: 🔍
scip Labs: https://www.scip.ch/en/?labs.20150917
Entry
Created: 03/25/2023 08:29Updated: 09/08/2025 13:25
Changes: 03/25/2023 08:29 (42), 04/14/2023 15:52 (11), 09/08/2025 13:25 (16)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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