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CWE-1250: Improper Preservation of Consistency Between Independent Representations of Shared State
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Edit Custom FilterMore information is available — Please edit the custom filter or select a different filter. The product has or supports multiple distributed components or sub-systems that are each required to keep their own local copy of shared data - such as state or cache - but the product does not ensure that all local copies remain consistent with each other.
In highly distributed environments, or on systems with distinct physical components that operate independently, there is often a need for each component to store and update its own local copy of key data such as state or cache, so that all components have the same "view" of the overall system and operate in a coordinated fashion. For example, users of a social media service or a massively multiplayer online game might be using their own personal computers while also interacting with different physical hosts in a globally distributed service, but all participants must be able to have the same "view" of the world. Alternately, a processor's Memory Management Unit (MMU) might have "shadow" MMUs to distribute its workload, and all shadow MMUs are expected to have the same accessible ranges of memory. In such environments, it becomes critical for the product to ensure that this "shared state" is consistently modified across all distributed systems. If state is not consistently maintained across all systems, then critical transactions might take place out of order, or some users might not get the same data as other users. When this inconsistency affects correctness of operations, it can introduce vulnerabilities in mechanisms that depend on consistent state. This table specifies different individual consequences
associated with the weakness. The Scope identifies the application security area that is
violated, while the Impact describes the negative technical impact that arises if an
adversary succeeds in exploiting this weakness. The Likelihood provides information about
how likely the specific consequence is expected to be seen relative to the other
consequences in the list. For example, there may be high likelihood that a weakness will be
exploited to achieve a certain impact, but a low likelihood that it will be exploited to
achieve a different impact.
This table shows the weaknesses and high level categories that are related to this
weakness. These relationships are defined as ChildOf, ParentOf, MemberOf and give insight to
similar items that may exist at higher and lower levels of abstraction. In addition,
relationships such as PeerOf, Overlaps, and CanAlsoBe are defined to show similar weaknesses that the user
may want to explore.
The different Modes of Introduction provide information
about how and when this
weakness may be introduced. The Phase identifies a point in the life cycle at which
introduction
may occur, while the Note provides a typical scenario related to introduction during the
given
phase.
This listing shows possible areas for which the given
weakness could appear. These
may be for specific named Languages, Operating Systems, Architectures, Paradigms,
Technologies,
or a class of such platforms. The platform is listed along with how frequently the given
weakness appears for that instance.
Example 1 Suppose a processor's Memory Management Unit (MMU) has 5 other shadow MMUs to distribute its workload for its various cores. Each MMU has the start address and end address of "accessible" memory. Any time this accessible range changes (as per the processor's boot status), the main MMU sends an update message to all the shadow MMUs. Suppose the interconnect fabric does not prioritize such "update" packets over other general traffic packets. This introduces a race condition. If an attacker can flood the target with enough messages so that some of those attack packets reach the target before the new access ranges gets updated, then the attacker can leverage this scenario.
This MemberOf Relationships table shows additional CWE Categories and Views that
reference this weakness as a member. This information is often useful in understanding where a
weakness fits within the context of external information sources.
Research Gap
Issues related to state and cache - creation,
preservation, and update - are a significant gap in
CWE that is expected to be addressed in future
versions. It likely has relationships to concurrency
and synchronization, incorrect behavior order, and
other areas that already have some coverage in CWE,
although the focus has typically been on independent
processes on the same operating system - not on
independent systems that are all a part of a larger
system-of-systems.
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