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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 ...
I do not think the Java Applet example is a fork bomb: 1) It does not spawn processes. 2) Even if you are liberal and define a "new thread" to count as a "new process", this example's new threads do not spawn new threads themselves, which is the signature "forking" element of the fork bomb.
Modern scheduling algorithms normally contain code to guarantee that all processes will receive a minimum amount of each important resource (most often CPU time) in order to prevent any process from being subjected to starvation. In computer networks, especially wireless networks, scheduling algorithms may suffer from scheduling starvation.
Memory errors were first considered in the context of resource management (computing) and time-sharing systems, in an effort to avoid problems such as fork bombs. [4] Developments were mostly theoretical until the Morris worm , which exploited a buffer overflow in fingerd . [ 5 ]
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
A logic bomb is a piece of code intentionally inserted into a software system that will set off a malicious function when specified conditions are met. For example, a programmer may hide a piece of code that starts deleting files (such as a salary database trigger ), should they ever be terminated from the company.
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. [8]