An URG-ACK-SYN-FIN flood is a DDoS attack designed to disrupt network activity by saturating bandwidth and resources on stateful devices in its path.
By continuously sending URG-ACK-SYN-FIN packets towards a target, stateful defenses can go down (In some cases into a fail open mode). This flood could also be used as a smoke screen for more advanced attacks. This is true for other out of state floods too.
URG-ACK-SYN-FIN Packets are considered an illegal packet by the Original TCP RFC. While it left room for customized behavior it is virtually unused today. Thus different systems can react differently to these packets and may cause unexpected issues and behavior.
Below an analysis of an URG-ACK-SYN-FIN flood is shown. The following images depict a high rate of URG-ACK-SYN-FIN packets being sent from a single source IP towards a single destination IP.
In Image 1 below, you can see the flood of URG-ACK-SYN-FIN packets coming from a single source. Notice the rate at which the packets are sent.
Sometimes, depending on the target’s implementation of the TCP stack, a RST packet may be returned as can be seen below.
“Image 1 – example of single URG-ACK-SYN-FIN packet being sent to port 80”
As seen in Image 2. The capture analyzed is 9 seconds long and the average number of packets per second are at 116.5, with a rate of around 50Kbps. Attack rates could be much higher.
“Image 2 – URG-ACK-SYN-FIN Flood stats”
A typical URG-ACK-SYN-FIN flood running against an unsuspecting host will look similar to the above analysis. Generally what is seen is a high rate of URG-ACK-SYN-FIN packets (not preceded by a TCP handshake) and a slightly lesser rate of RST packets coming from the targeted server.
Analysis of an URG-ACK-SYN-FIN flood in Wireshark – Filters
Filter URG-ACK-SYN-FIN packets – “(tcp.flags.urg == 1) && (tcp.flags.ack == 1) && (tcp.flags.syn == 1) && (tcp.flags.fin == 1)”.
Goto Statistics -> Summary on the menu bar to understand the rate you are looking at.
Download Example PCAP of URG-ACK-SYN-FIN Flood
*Note: IP’s have been randomized to ensure privacy.