Out-of-Memory Vulnerability in MongoDB libmongocrypt Causes mongod Crash
CVE-2026-13063 Published on July 22, 2026
libmongocrypt Improper Input Validation Leading to Process Termination
An authenticated user with standard read/write privileges can cause the mongod process to terminate due to an out-of-memory condition by sending a crafted aggregation command. MongoDB's libmongocrypt library insufficiently validates payload-supplied values, which can result in an excessively large memory allocation.
Vulnerability Analysis
CVE-2026-13063 can be exploited with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity, and a small impact on availability.
Weakness Type
Integer Overflow or Wraparound
The software 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. An integer overflow or wraparound occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may wrap to become a very small or negative number. While this may be intended behavior in circumstances that rely on wrapping, it can have security consequences if the wrap is unexpected. This is especially the case if the integer overflow can be triggered using user-supplied inputs. This becomes security-critical when the result is used to control looping, make a security decision, or determine the offset or size in behaviors such as memory allocation, copying, concatenation, etc.
Products Associated with CVE-2026-13063
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Affected Versions
MongoDB Server:- Version 8.2.0 and below 8.2.12 is affected.
- Version 8.3.0 and below 8.3.7 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.