PyMongo 4.6.2 BSON Module OOB Read Vulnerability
CVE-2024-5629 Published on June 5, 2024

Out-of-bounds read in bson module of PyMongo
An out-of-bounds read in the 'bson' module of PyMongo 4.6.2 or earlier allows deserialization of malformed BSON provided by a Server to raise an exception which may contain arbitrary application memory.

Github Repository NVD

Vulnerability Analysis

CVE-2024-5629 can be exploited with network access, requires user interaction. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to have a small impact on confidentiality, a small impact on integrity, and a small impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
HIGH
Privileges Required:
NONE
User Interaction:
REQUIRED
Scope:
CHANGED
Confidentiality Impact:
LOW
Integrity Impact:
NONE
Availability Impact:
LOW

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-2024-5629

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Affected Versions

MongoDB Inc PyMongo:

Vulnerable Packages

The following package name and versions may be associated with CVE-2024-5629

Package Manager Vulnerable Package Versions Fixed In
pip taipy <= 3.1.1

Exploit Probability

EPSS
0.09%
Percentile
26.39%

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.