CVE-2017-1000411

OpenFlow Plugin and OpenDayLight Controller versions Nitrogen, Carbon, Boron, Robert Varga, Anil Vishnoi contain a flaw when multiple 'expired' flows take up the memory resource of CONFIG DATASTORE which leads to CONTROLLER shutdown. If multiple different flows with 'idle-timeout' and 'hard-timeout' are sent to the Openflow Plugin REST API, the expired flows will eventually crash the controller once its resource allocations set with the JVM size are exceeded. Although the installed flows (with timeout set) are removed from network (and thus also from controller's operations DS), the expired entries are still present in CONFIG DS. The attack can originate both from NORTH or SOUTH. The above description is for a north bound attack. A south bound attack can originate when an attacker attempts a flow flooding attack and since flows come with timeouts, the attack is not successful. However, the attacker will now be successful in CONTROLLER overflow attack (resource consumption). Although, the network (actual flow tables) and operational DS are only (~)1% occupied, the controller requests for resource consumption. This happens because the installed flows get removed from the network upon timeout.

• CVE ID
• CVE-2017-1000411

• Assigner
• cve@mitre.org

• Vulnerability Status
• Analyzed

• Published Version
• 2018-01-31T14:29:00

• Last Modified Date
• 2019-10-03T00:03:26

• Version
• 2.0

• Vector String
• AV:N/AC:L/Au:N/C:N/I:N/A:P

• Access Vector
• NETWORK

• Access Compatibility
• LOW

• Authentication
• NONE

• Confidentiality Impact
• NONE

• Integrity Impact
• NONE

• Availability Impact
• PARTIAL

• Base Score
• 5

• Severity
• MEDIUM

• Exploitability Score
• 10

• Impact Score
• 2.9

• Version
• 3.0

• Vector String
• CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

• Attack Vector
• NETWORK

• Attack Compatibility
• LOW

• Privileges Required
• NONE

• User Interaction
• NONE

• Scope
• UNCHANGED

• Confidentiality Impact
• NONE

• Availability Impact
• HIGH

• Base Score
• 7.5

• Base Severity
• HIGH

• Exploitability Score
• 3.9

• Impact Score
• 3.6