CVE-2024-47697
Nov. 8, 2024, 4:15 p.m.
7.8
High
Description
In the Linux kernel, the following vulnerability has been resolved:
drivers: media: dvb-frontends/rtl2830: fix an out-of-bounds write error
Ensure index in rtl2830_pid_filter does not exceed 31 to prevent
out-of-bounds access.
dev->filters is a 32-bit value, so set_bit and clear_bit functions should
only operate on indices from 0 to 31. If index is 32, it will attempt to
access a non-existent 33rd bit, leading to out-of-bounds access.
Change the boundary check from index > 32 to index >= 32 to resolve this
issue.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Linux |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-787
Out-of-bounds Write
The product writes data past the end, or before the beginning, of the intended buffer.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| o | linux | linux_kernel | / | / | / | / | / | / | / | / |
| o | linux | linux_kernel | / | / | / | / | / | / | / | / |
| o | linux | linux_kernel | / | / | / | / | / | / | / | / |
| o | linux | linux_kernel | / | / | / | / | / | / | / | / |
| o | linux | linux_kernel | / | / | / | / | / | / | / | / |
| o | linux | linux_kernel | / | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: LOCAL
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: Oct. 21, 2024, 12:15 p.m.
Last Modified: Nov. 8, 2024, 4:15 p.m.
Last Modified: Nov. 8, 2024, 4:15 p.m.
Status : Modified
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
416baaa9-dc9f-4396-8d5f-8c081fb06d67
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.