Apache NimBLE Out-of-Bounds Read Vulnerability in HCI Event Parsing
CVE-2024-51569 Published on November 26, 2024
Apache NimBLE: Lack of input sanitization leading to out-of-bound reads in Number of Completed Packets HCI event handler
Out-of-bounds Read vulnerability in Apache NimBLE.
Missing proper validation of HCI Number Of Completed Packets could lead to out-of-bound access when parsing HCI event and invalid read from HCI transport memory.
This issue requires broken or bogus Bluetooth controller and thus severity is considered low.
This issue affects Apache NimBLE: through 1.7.0.
Users are recommended to upgrade to version 1.8.0, which fixes the issue.
Vulnerability Analysis
CVE-2024-51569 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.
Weakness Type
Out-of-bounds Read
The software reads data past the end, or before the beginning, of the intended buffer. Typically, this can allow attackers to read sensitive information from other memory locations or cause a crash. A crash can occur when the code reads a variable amount of data and assumes that a sentinel exists to stop the read operation, such as a NUL in a string. The expected sentinel might not be located in the out-of-bounds memory, causing excessive data to be read, leading to a segmentation fault or a buffer overflow. The software may modify an index or perform pointer arithmetic that references a memory location that is outside of the boundaries of the buffer. A subsequent read operation then produces undefined or unexpected results.
Products Associated with CVE-2024-51569
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Affected Versions
Apache Software Foundation Apache NimBLE:- Before and including 1.7.0 is affected.
- Before and including 1.7.0 is affected.
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.