#diaphora — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #diaphora, aggregated by home.social.
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I have just published a new bug fixes minor release for #Diaphora, version 3.4.1.
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I have just published a new bug fixes minor release for #Diaphora, version 3.4.1.
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I have just published a new bug fixes minor release for #Diaphora, version 3.4.1.
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I have just published a new bug fixes minor release for #Diaphora, version 3.4.1.
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I have just published a new bug fixes minor release for #Diaphora, version 3.4.1.
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I have published #Diaphora 3.4.0. Now you can install it in IDA by just running this:
$ hcli plugin install diaphora
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I have published #Diaphora 3.4.0. Now you can install it in IDA by just running this:
$ hcli plugin install diaphora
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I have published #Diaphora 3.4.0. Now you can install it in IDA by just running this:
$ hcli plugin install diaphora
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I have published #Diaphora 3.4.0. Now you can install it in IDA by just running this:
$ hcli plugin install diaphora
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I have published #Diaphora 3.4.0. Now you can install it in IDA by just running this:
$ hcli plugin install diaphora
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Thank you very much to the person that donated 100 euros to the #Diaphora project, it's highly appreciated!
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Thank you very much to the person that donated 100 euros to the #Diaphora project, it's highly appreciated!
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Thank you very much to the person that donated 100 euros to the #Diaphora project, it's highly appreciated!
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Thank you very much to the person that donated 100 euros to the #Diaphora project, it's highly appreciated!
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Thank you very much to the person that donated 100 euros to the #Diaphora project, it's highly appreciated!
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Thank you very much to the person that donated 25 euros to #Diaphora!
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Thank you very much to the person that donated 25 euros to #Diaphora!
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Thank you very much to the person that donated 25 euros to #Diaphora!
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Thank you very much to the person that donated 25 euros to #Diaphora!
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Thank you very much to the person that donated 25 euros to #Diaphora!
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Question about IDA and Ghidra considering the latest IDA license changes, regarding #Diaphora: If a (highly integrated) Ghidra port of Diaphora appears "soon", would you...
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Question about IDA and Ghidra considering the latest IDA license changes, regarding #Diaphora: If a (highly integrated) Ghidra port of Diaphora appears "soon", would you...
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Question about IDA and Ghidra considering the latest IDA license changes, regarding #Diaphora: If a (highly integrated) Ghidra port of Diaphora appears "soon", would you...
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Question about IDA and Ghidra considering the latest IDA license changes, regarding #Diaphora: If a (highly integrated) Ghidra port of Diaphora appears "soon", would you...
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Question about IDA and Ghidra considering the latest IDA license changes, regarding #Diaphora: If a (highly integrated) Ghidra port of Diaphora appears "soon", would you...
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Let me explain you the idea and the problem.
The Idea: Put a service for functions signatures using #Diaphora technologies online or a SQLite database file that can be easily downloaded somewhere for offline usage.
The Problem: Github doesn't allow files bigger than 100 MB. The initial signatures database I have is 1,2 GB, but it will grow a bit (I don't think it will be ever over 10 GB in years and years).
That explained, any recommendation about how to solve this problem with my resources?
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Let me explain you the idea and the problem.
The Idea: Put a service for functions signatures using #Diaphora technologies online or a SQLite database file that can be easily downloaded somewhere for offline usage.
The Problem: Github doesn't allow files bigger than 100 MB. The initial signatures database I have is 1,2 GB, but it will grow a bit (I don't think it will be ever over 10 GB in years and years).
That explained, any recommendation about how to solve this problem with my resources?
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Let me explain you the idea and the problem.
The Idea: Put a service for functions signatures using #Diaphora technologies online or a SQLite database file that can be easily downloaded somewhere for offline usage.
The Problem: Github doesn't allow files bigger than 100 MB. The initial signatures database I have is 1,2 GB, but it will grow a bit (I don't think it will be ever over 10 GB in years and years).
That explained, any recommendation about how to solve this problem with my resources?
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Let me explain you the idea and the problem.
The Idea: Put a service for functions signatures using #Diaphora technologies online or a SQLite database file that can be easily downloaded somewhere for offline usage.
The Problem: Github doesn't allow files bigger than 100 MB. The initial signatures database I have is 1,2 GB, but it will grow a bit (I don't think it will be ever over 10 GB in years and years).
That explained, any recommendation about how to solve this problem with my resources?
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Let me explain you the idea and the problem.
The Idea: Put a service for functions signatures using #Diaphora technologies online or a SQLite database file that can be easily downloaded somewhere for offline usage.
The Problem: Github doesn't allow files bigger than 100 MB. The initial signatures database I have is 1,2 GB, but it will grow a bit (I don't think it will be ever over 10 GB in years and years).
That explained, any recommendation about how to solve this problem with my resources?
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What is a *cheap* way to put an online service that requires a database that will be under ~10 GB for a number of years? If it's free, better.
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What is a *cheap* way to put an online service that requires a database that will be under ~10 GB for a number of years? If it's free, better.
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What is a *cheap* way to put an online service that requires a database that will be under ~10 GB for a number of years? If it's free, better.
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What is a *cheap* way to put an online service that requires a database that will be under ~10 GB for a number of years? If it's free, better.
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What is a *cheap* way to put an online service that requires a database that will be under ~10 GB for a number of years? If it's free, better.
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I haven't published a new #Diaphora release just yet because the code is still a bit experimental and there are some problems that I'm trying to fix like, for example: SciKit Learn distributed models cannot be used if the version of the training machine and the machine where it's being used (where Diaphora runs) are different.
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I haven't published a new #Diaphora release just yet because the code is still a bit experimental and there are some problems that I'm trying to fix like, for example: SciKit Learn distributed models cannot be used if the version of the training machine and the machine where it's being used (where Diaphora runs) are different.
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I haven't published a new #Diaphora release just yet because the code is still a bit experimental and there are some problems that I'm trying to fix like, for example: SciKit Learn distributed models cannot be used if the version of the training machine and the machine where it's being used (where Diaphora runs) are different.
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I haven't published a new #Diaphora release just yet because the code is still a bit experimental and there are some problems that I'm trying to fix like, for example: SciKit Learn distributed models cannot be used if the version of the training machine and the machine where it's being used (where Diaphora runs) are different.
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I haven't published a new #Diaphora release just yet because the code is still a bit experimental and there are some problems that I'm trying to fix like, for example: SciKit Learn distributed models cannot be used if the version of the training machine and the machine where it's being used (where Diaphora runs) are different.
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The code is also published (in github) already and #Diaphora now can use an already trained model to try to improve binary diffing results (matching). I haven't made yet a new release just yet as these changes are considered a bit experimental for now.
The datasets and tools for training and testing are here: https://github.com/joxeankoret/diaphora-ml
And Diaphora, is here: https://github.com/joxeankoret/diaphora#Diaphora #BinaryDiffing #Bindiffing #ReverseEngineering #MachineLearning
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The code is also published (in github) already and #Diaphora now can use an already trained model to try to improve binary diffing results (matching). I haven't made yet a new release just yet as these changes are considered a bit experimental for now.
The datasets and tools for training and testing are here: https://github.com/joxeankoret/diaphora-ml
And Diaphora, is here: https://github.com/joxeankoret/diaphora#Diaphora #BinaryDiffing #Bindiffing #ReverseEngineering #MachineLearning
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The code is also published (in github) already and #Diaphora now can use an already trained model to try to improve binary diffing results (matching). I haven't made yet a new release just yet as these changes are considered a bit experimental for now.
The datasets and tools for training and testing are here: https://github.com/joxeankoret/diaphora-ml
And Diaphora, is here: https://github.com/joxeankoret/diaphora#Diaphora #BinaryDiffing #Bindiffing #ReverseEngineering #MachineLearning
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The code is also published (in github) already and #Diaphora now can use an already trained model to try to improve binary diffing results (matching). I haven't made yet a new release just yet as these changes are considered a bit experimental for now.
The datasets and tools for training and testing are here: https://github.com/joxeankoret/diaphora-ml
And Diaphora, is here: https://github.com/joxeankoret/diaphora#Diaphora #BinaryDiffing #Bindiffing #ReverseEngineering #MachineLearning
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The code is also published (in github) already and #Diaphora now can use an already trained model to try to improve binary diffing results (matching). I haven't made yet a new release just yet as these changes are considered a bit experimental for now.
The datasets and tools for training and testing are here: https://github.com/joxeankoret/diaphora-ml
And Diaphora, is here: https://github.com/joxeankoret/diaphora#Diaphora #BinaryDiffing #Bindiffing #ReverseEngineering #MachineLearning
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Here are the slides of my "Simple Machine Learning Techniques for Binary Diffing (with Diaphora)" talk given at the @44CON conference last week:
https://github.com/joxeankoret/diaphora-ml/blob/main/docs/diaphora-ml-techniques-44con-final.pdf
#44con #Diaphora #MachineLearning #ReverseEngineering #BinaryDiffing
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Here are the slides of my "Simple Machine Learning Techniques for Binary Diffing (with Diaphora)" talk given at the @44CON conference last week:
https://github.com/joxeankoret/diaphora-ml/blob/main/docs/diaphora-ml-techniques-44con-final.pdf
#44con #Diaphora #MachineLearning #ReverseEngineering #BinaryDiffing
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Here are the slides of my "Simple Machine Learning Techniques for Binary Diffing (with Diaphora)" talk given at the @44CON conference last week:
https://github.com/joxeankoret/diaphora-ml/blob/main/docs/diaphora-ml-techniques-44con-final.pdf
#44con #Diaphora #MachineLearning #ReverseEngineering #BinaryDiffing
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Here are the slides of my "Simple Machine Learning Techniques for Binary Diffing (with Diaphora)" talk given at the @44CON conference last week:
https://github.com/joxeankoret/diaphora-ml/blob/main/docs/diaphora-ml-techniques-44con-final.pdf
#44con #Diaphora #MachineLearning #ReverseEngineering #BinaryDiffing
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Here are the slides of my "Simple Machine Learning Techniques for Binary Diffing (with Diaphora)" talk given at the @44CON conference last week:
https://github.com/joxeankoret/diaphora-ml/blob/main/docs/diaphora-ml-techniques-44con-final.pdf
#44con #Diaphora #MachineLearning #ReverseEngineering #BinaryDiffing