Java_IDX_Parser | Parses Java Cache IDX files
kandi X-RAY | Java_IDX_Parser Summary
kandi X-RAY | Java_IDX_Parser Summary
Java_IDX_Parser is a Python library. Java_IDX_Parser has no bugs, it has no vulnerabilities and it has low support. However Java_IDX_Parser build file is not available. You can download it from GitHub.
The original, and the best, Java Cache IDX parser. This was written as a result of working quite a few Java malware infection cases. While I grew proficient at manually carving the Java IDX file, which retains download history of malicious Java archives, I learned that a tool may work better when teaching my coworkers how to do the same. Java IDX files contain high-fidelity indicators about where a piece of malware originated from and how it got onto the infected system. Additionally, most analysis to this point was performed off the text-strings within the file, while ignoring the large blocks of binary data. At the time of development, there was only one source available for this file, Corey Harrell's blog post from 2011 (and a IDX to Timeline parser written by Sploit (The large blocks of binary data kept bugging me, so I wrote this tool. The initial release did just the basic text sections while I gathered the amount of interest in it. The latest releases perform decompression and basic binary analysis of Java serialization code. At first I used an existing Java serialization module, until I found that Oracle didn't follow their own file specifications, which broke the existing parsers, and required me to write my own. The latest release removes all interpretation of the file, outputting just raw data to the screen. That way you get a more accurate portrayal of the data, and you can choose what data is relevant to your cause. Even though most Section 4 data appears to be junk to me, it's in there, and its relevance may come to light one day.
The original, and the best, Java Cache IDX parser. This was written as a result of working quite a few Java malware infection cases. While I grew proficient at manually carving the Java IDX file, which retains download history of malicious Java archives, I learned that a tool may work better when teaching my coworkers how to do the same. Java IDX files contain high-fidelity indicators about where a piece of malware originated from and how it got onto the infected system. Additionally, most analysis to this point was performed off the text-strings within the file, while ignoring the large blocks of binary data. At the time of development, there was only one source available for this file, Corey Harrell's blog post from 2011 (and a IDX to Timeline parser written by Sploit (The large blocks of binary data kept bugging me, so I wrote this tool. The initial release did just the basic text sections while I gathered the amount of interest in it. The latest releases perform decompression and basic binary analysis of Java serialization code. At first I used an existing Java serialization module, until I found that Oracle didn't follow their own file specifications, which broke the existing parsers, and required me to write my own. The latest release removes all interpretation of the file, outputting just raw data to the screen. That way you get a more accurate portrayal of the data, and you can choose what data is relevant to your cause. Even though most Section 4 data appears to be junk to me, it's in there, and its relevance may come to light one day.
Support
Quality
Security
License
Reuse
Support
Java_IDX_Parser has a low active ecosystem.
It has 38 star(s) with 9 fork(s). There are 12 watchers for this library.
It had no major release in the last 6 months.
Java_IDX_Parser has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Java_IDX_Parser is current.
Quality
Java_IDX_Parser has 0 bugs and 0 code smells.
Security
Java_IDX_Parser has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Java_IDX_Parser code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Java_IDX_Parser does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Java_IDX_Parser releases are not available. You will need to build from source code and install.
Java_IDX_Parser has no build file. You will be need to create the build yourself to build the component from source.
Java_IDX_Parser saves you 130 person hours of effort in developing the same functionality from scratch.
It has 327 lines of code, 10 functions and 6 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Java_IDX_Parser
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Java_IDX_Parser
Java_IDX_Parser Key Features
No Key Features are available at this moment for Java_IDX_Parser.
Java_IDX_Parser Examples and Code Snippets
No Code Snippets are available at this moment for Java_IDX_Parser.
Community Discussions
No Community Discussions are available at this moment for Java_IDX_Parser.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Java_IDX_Parser
You can download it from GitHub.
You can use Java_IDX_Parser like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Java_IDX_Parser like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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