A vulnerability in the implementation of the Datagram TLS (DTLS) protocol in Cisco Adaptive Security Appliance (ASA) Software and Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to cause high CPU utilization, resulting in a denial of service (DoS) condition. This vulnerability is due to suboptimal processing that occurs when establishing a DTLS tunnel as part of an AnyConnect SSL VPN connection. An attacker could exploit this vulnerability by sending a steady stream of crafted DTLS traffic to an affected device. A successful exploit could allow the attacker to exhaust resources on the affected VPN headend device. This could cause existing DTLS tunnels to stop passing traffic and prevent new DTLS tunnels from establishing, resulting in a DoS condition. Note: When the attack traffic stops, the device recovers gracefully.
References
Link | Resource |
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https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-vpndtls-dos-TunzLEV | Vendor Advisory |
Configurations
Configuration 1 (hide)
AND |
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Configuration 2 (hide)
AND |
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History
16 Aug 2023, 16:17
Type | Values Removed | Values Added |
---|---|---|
CPE | cpe:2.3:o:cisco:adaptive_security_appliance_software:*:*:*:*:*:*:*:* | |
First Time |
Cisco adaptive Security Appliance Software
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Information
Published : 2022-04-21 19:15
Updated : 2024-02-28 19:09
NVD link : CVE-2022-20795
Mitre link : CVE-2022-20795
CVE.ORG link : CVE-2022-20795
JSON object : View
Products Affected
cisco
- firepower_1140
- firepower_2120
- firepower_4110
- asa_for_nexus_1000v
- asa_5555-x
- asa_5525-x
- firepower_4120
- firepower_2140
- firepower_4125
- firepower_1120
- firepower_2130
- firepower_4145
- asa_5505
- adaptive_security_appliance_software
- asa_5512-x
- adaptive_security_appliance
- firepower_1010
- firepower_threat_defense
- asa_5580
- firepower_9300
- firepower_4112
- firepower_2110
- firepower_1150
- asa_5545-x
- asa_5585-x
- firepower_4115
- asa_5515-x
- firepower_4150
- firepower_4140
CWE
CWE-345
Insufficient Verification of Data Authenticity