Home > CAPEC List > CAPEC-324: TCP (ISN) Sequence Predictability Probe (Version 3.0)  

CAPEC-324: TCP (ISN) Sequence Predictability Probe

Attack Pattern ID: 324
Abstraction: Detailed
Status: Stable
Presentation Filter:
+ Description
This type of operating system probe attempts to determine an estimate for how predictable the sequence number generation algorithm is for a remote host. Statistical techniques, such as standard deviation, can be used to determine how predictable the sequence number generation is for a system. This result can then be compared to a database of operating system behaviors to determine a likely match for operating system and version.
+ Likelihood Of Attack

Medium

+ Typical Severity

Low

+ Relationships

The table(s) below shows the other attack patterns and high level categories that are related to this attack pattern. 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 CanFollow, PeerOf, and CanAlsoBe are defined to show similar attack patterns that the user may want to explore.

+ Relevant to the view "Mechanisms of Attack" (CAPEC-1000)
NatureTypeIDName
ChildOfStandard Attack PatternStandard Attack Pattern - A standard level attack pattern in CAPEC is focused on a specific methodology or technique used in an attack. It is often seen as a singular piece of a fully executed attack. A standard attack pattern is meant to provide sufficient details to understand the specific technique and how it attempts to accomplish a desired goal. A standard level attack pattern is a specific type of a more abstract meta level attack pattern.312Active OS Fingerprinting
+ Prerequisites
The ability to monitor and interact with network communications.Access to at least one host, and the privileges to interface with the network interface card.
+ Resources Required
A tool capable of sending and receiving packets from a remote system.
+ Consequences

The table below specifies different individual consequences associated with the attack pattern. The Scope identifies the security property that is violated, while the Impact describes the negative technical impact that arises if an adversary succeeds in their attack. 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 pattern will be used to achieve a certain impact, but a low likelihood that it will be exploited to achieve a different impact.

ScopeImpactLikelihood
Confidentiality
Read Data
Confidentiality
Access Control
Authorization
Bypass Protection Mechanism
Hide Activities
+ References
[REF-33] Stuart McClure, Joel Scambray and George Kurtz. "Hacking Exposed: Network Security Secrets & Solutions". Chapter 2: Scanning, pg. 56. 6th Edition. McGraw Hill. 2009.
[REF-128] Defense Advanced Research Projects Agency Information Processing Techniques Office and Information Sciences Institute University of Southern California. "RFC793 - Transmission Control Protocol". Defense Advanced Research Projects Agency (DARPA). 1981-09. <http://www.faqs.org/rfcs/rfc793.html>.
[REF-212] Gordon "Fyodor" Lyon. "Nmap Network Scanning: The Official Nmap Project Guide to Network Discovery and Security Scanning". Chapter 8. Remote OS Detection. 3rd "Zero Day" Edition,. Insecure.com LLC. 2008.
[REF-130] Gordon "Fyodor" Lyon. "The Art of Port Scanning". Volume: 7, Issue. 51. Phrack Magazine. 1997. <http://phrack.org/issues/51/11.html>.
+ Content History
Submissions
Submission DateSubmitterOrganization
2014-06-23CAPEC Content TeamThe MITRE Corporation
Modifications
Modification DateModifierOrganization
2017-05-01CAPEC Content TeamThe MITRE Corporation
Updated Attack_Motivation-Consequences, Attack_Prerequisites, Related_Attack_Patterns, Resources_Required, Typical_Likelihood_of_Exploit
2018-07-31CAPEC Content TeamThe MITRE Corporation
Updated References, Related_Weaknesses

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Page Last Updated or Reviewed: July 31, 2018