gluster glusterfs CVE-2018-10911 vulnerability in Gluster and Other Products
Published on September 4, 2018

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A flaw was found in the way dic_unserialize function of glusterfs does not handle negative key length values. An attacker could use this flaw to read memory from other locations into the stored dict value.

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Weakness Types

What is a Marshaling, Unmarshaling Vulnerability?

The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid.

CVE-2018-10911 has been classified to as a Marshaling, Unmarshaling vulnerability or weakness.

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.

What is an Information Disclosure Vulnerability?

The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.

CVE-2018-10911 has been classified to as an Information Disclosure vulnerability or weakness.


Products Associated with CVE-2018-10911

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Affected Versions

Red Hat glusterfs: Version n/a is affected by CVE-2018-10911

Exploit Probability

EPSS
4.55%
Percentile
88.99%

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.