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The concept behind a fork bomb — the processes continually replicate themselves, potentially causing a denial of service. In computing, a fork bomb (also called rabbit virus) is a denial-of-service (DoS) attack wherein a process continually replicates itself to deplete available system resources, slowing down or crashing the system due to resource starvation.
Fork and its variants are typically the only way of doing so in Unix-like systems. For a process to start the execution of a different program, it first forks to create a copy of itself. Then, the copy, called the " child process ", calls the exec system call to overlay itself with the other program: it ceases execution of its former program in ...
The Rabbit (or Wabbit) virus, more a fork bomb than a virus, is written. The Rabbit virus makes multiple copies of itself on a single computer (and was named "rabbit" for the speed at which it did so) until it clogs the system, reducing system performance, before finally reaching a threshold and crashing the computer. [10]
ABAP Version was just an infinite loop and not a fork bomb. Given the fixed number of process slots Netweaver has with a roll-in/roll-out mechanism a forkbomb does not quite make sense - it would not bring the system completely to its knees, it would just drastically degrade performance. I guess a semi fork-bomb can be made using CALL FUNCTION ..
Fork bomb: a similar method to exhaust a system's resources through recursion; Zip bomb: a similar attack utilizing zip archives; XML external entity attack: an XML attack to return arbitrary server files; Document type definition: a template for validating XML files
fork() is the name of the system call that the parent process uses to "divide" itself ("fork") into two identical processes. After calling fork(), the created child process is an exact copy of the parent except for the return value of the fork() call. This includes open files, register state, and all memory allocations, which includes the ...
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This makes part of the data structure into a ring, causing naive code to loop forever. While most infinite loops can be found by close inspection of the code, there is no general method to determine whether a given program will ever halt or will run forever; this is the undecidability of the halting problem .