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Full Discussion: C Brain Teaser
Top Forums Programming C Brain Teaser Post 302221139 by redoubtable on Sunday 3rd of August 2008 02:17:22 PM
Old 08-03-2008
There's a more complex way of doing it.

We could open (argv[0], O_RDONLY), then unlink(argv[0]), and then re-open open(argv[0], O_RDWR).

Like that, you could read the content of your program before it was unlinked ('cause the kernel still holds the reference upon unlink() if the file is open by any process) and write a new content after it was unlinked.

Now, from here you could go to very funny stuff like changing the ELF format on-the-fly (something like changing the .comment section) and then have something on your file that says "if the .comment section has a certain sha1 hash that matches whatever, the program should run, otherwise it won't run". Be aware that someone could strip the comment section very easily lol.

Another way would also be very funny like creating an assembly program that just makes your program exit, then, extracting the hex opcodes (machine-language) of that program using something like objdump and injecting those opcodes on your other program's main function. Of course you would have to know the right offset to mmap() to, etc. With this, you could actually alter the way that your program feeds back after the first execution, because you could also inject write()'s, etc. (a lot more work would be needed)
 

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FANN_TRAIN_ON_FILE(3)							 1						     FANN_TRAIN_ON_FILE(3)

fann_train_on_file - Trains on an entire dataset, which is read from file, for a period of time

SYNOPSIS
bool fann_train_on_file (resource $ann, string $filename, int $max_epochs, int $epochs_between_reports, float $desired_error) DESCRIPTION
Trains on an entire dataset, which is read from file, for a period of time. This training uses the training algorithm chosen by fann_set_training_algorithm(3) and the parameters set for these training algorithms. PARAMETERS
o $ann -Neural network resource. o $filename - The file containing train data o $max_epochs - The maximum number of epochs the training should continue o $epochs_between_reports - The number of epochs between calling a user function. A value of zero means that user function is not called. o $desired_error - The desired fann_get_MSE(3) or fann_get_bit_fail(3), depending on the stop function chosen by fann_set_train_stop_function(3) RETURN VALUES
Returns TRUE on success, or FALSE otherwise. SEE ALSO
fann_train_on_data(3), fann_train_epoch(3), fann_get_bit_fail(3), fann_get_MSE(3), fann_set_train_stop_function(3), fann_set_training_algo- rithm(3), fann_set_callback(3). PHP Documentation Group FANN_TRAIN_ON_FILE(3)
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