Datasets:
ArXiv:
License:
Update EMBER2024 dataset with capa metadata
Browse files- APK_test.zip +2 -2
- APK_train.zip +2 -2
- Dot_Net_test.zip +2 -2
- Dot_Net_train.zip +2 -2
- ELF_test.zip +2 -2
- ELF_train.zip +2 -2
- PDF_test.zip +2 -2
- PDF_train.zip +2 -2
- README.md +67 -1
- Win32_test.zip +2 -2
- Win32_train.zip +2 -2
- Win64_test.zip +2 -2
- Win64_train.zip +2 -2
- challenge.zip +2 -2
APK_test.zip
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APK_train.zip
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Dot_Net_test.zip
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Dot_Net_train.zip
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ELF_test.zip
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ELF_train.zip
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PDF_test.zip
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PDF_train.zip
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README.md
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@@ -37,6 +37,72 @@ EMBER also includes features and labels for 6,315 malicious files in a "challeng
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The previous EMBER feature versions were pinned to [LIEF](lief.re) version 0.9.0, which requires Python 3.6. EMBER feature version 3 ("thrember") is a re-implementation of the EMBER feature vector format that uses the [pefile](https://github.com/erocarrera/pefile) library instead. pefile is stable and has no dependencies, making it ideal going forward. We have also made several addition to the EMBER feature vector format, which now includes features from the DOS header, Rich header, PE data directories, Authenticode signatures, and warnings during PE parsing. Furthermore, we have added support for feature extraction from non-PE files using a subset of the EMBER feature version 3 format. We show that effective classifiers for APK, ELF, and PDF files can be trained using just features from general file info, byte statistics, and string statistics.
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## Citing
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author={Robert J. Joyce and Gideon Miller and Phil Roth and Richard Zak and Elliott Zaresky-Williams and Hyrum Anderson and Edward Raff and James Holt},
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year={2025},
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booktitle={Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
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-
}
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The previous EMBER feature versions were pinned to [LIEF](lief.re) version 0.9.0, which requires Python 3.6. EMBER feature version 3 ("thrember") is a re-implementation of the EMBER feature vector format that uses the [pefile](https://github.com/erocarrera/pefile) library instead. pefile is stable and has no dependencies, making it ideal going forward. We have also made several addition to the EMBER feature vector format, which now includes features from the DOS header, Rich header, PE data directories, Authenticode signatures, and warnings during PE parsing. Furthermore, we have added support for feature extraction from non-PE files using a subset of the EMBER feature version 3 format. We show that effective classifiers for APK, ELF, and PDF files can be trained using just features from general file info, byte statistics, and string statistics.
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# Capa
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[Capa](https://github.com/mandiant/capa) is a malware analysis tool that identifies a file's potential behaviors. For each file, it outputs Mitre ATT&CK techniques, objectives and behaviors from the Malware Behavior Catalogue Matrix, and other capabilities. An example is shown below.
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```
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+----------------------+---------------------------------------------------------------------------+
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| ATT&CK Tactic | ATT&CK Technique |
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+----------------------+---------------------------------------------------------------------------+
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| COLLECTION | Clipboard Data [T1115] |
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| | Input Capture::Keylogging [T1056.001] |
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| | Screen Capture [T1113] |
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| DEFENSE EVASION | File and Directory Permissions Modification [T1222] |
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| | Obfuscated Files or Information [T1027] |
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| EXECUTION | Shared Modules [T1129] |
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| PRIVILEGE ESCALATION | Access Token Manipulation [T1134] |
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| ... | ... |
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+----------------------+---------------------------------------------------------------------------+
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+----------------------+---------------------------------------------------------------------------+
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| MBC Objective | MBC Behavior |
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+----------------------+---------------------------------------------------------------------------+
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| ANTI-BEHAVIORAL ANALYSIS | Debugger Detection::Software Breakpoints [B0001.025] |
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| | Debugger Detection::Timing/Delay Check GetTickCount [B0001.032] |
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| COLLECTION | Keylogging::Polling [F0002.002] |
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| | Screen Capture::WinAPI [E1113.m01] |
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| COMMAND AND CONTROL | C2 Communication::Receive Data [B0030.002] |
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| | C2 Communication::Send Data [B0030.001] |
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| ... | ... |
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+----------------------+---------------------------------------------------------------------------+
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+----------------------+---------------------------------------------------------------------------+
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| Capability | Namespace |
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+----------------------+---------------------------------------------------------------------------+
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| log keystrokes via polling (9 matches) | collection/keylog |
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| capture screenshot (2 matches) | collection/screenshot |
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| receive data (5 matches) | communication |
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| send data (2 matches) | communication |
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| create HTTP request | communication/http/client |
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| get socket status | communication/socket |
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| ... | ... |
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+----------------------+---------------------------------------------------------------------------+
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```
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EMBER2024 has been updated to include Capa results for Win32, Win64, .NET, and ELF files.
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```
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"caps": [
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{"Capability": "Find process by name", "Namespace": "host-interaction/process/list", "Addrs": []},
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{"Capability": "Terminate process", "Namespace": "host-interaction/process/terminate", "Addrs": ["0x6000025"]},
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{"Capability": "Move file", "Namespace": "host-interaction/file-system/move", "Addrs": []},
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...
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]
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"ttps": [
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{"Tactic": "DISCOVERY", "Technique": "Process Discovery [T1057]"},
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{"Tactic": "DISCOVERY", "Technique": "File and Directory Discovery [T1083]"}
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],
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"mbc": [
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{"Objective": "OPERATING SYSTEM", "Behavior": "Console [C0033]"},
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{"Objective": "PROCESS", "Behavior": "Terminate Process [C0018]"},
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{"Objective": "FILE SYSTEM", "Behavior": "Move File [C0063]"},
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{"Objective": "DISCOVERY", "Behavior": "File and Directory Discovery [E1083]"},
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....
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```
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In many cases, Capa identifies the function(s) that the capability is present in. We created a [supplemental dataset](https://huggingface.co/datasets/joyce8/EMBER2024-capa) with the raw bytes and disassembly of 16,356,790 functions from malicious files in EMBER2024.
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## Citing
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author={Robert J. Joyce and Gideon Miller and Phil Roth and Richard Zak and Elliott Zaresky-Williams and Hyrum Anderson and Edward Raff and James Holt},
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year={2025},
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booktitle={Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
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}
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Win32_test.zip
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size 2593425203
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Win32_train.zip
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Win64_test.zip
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Win64_train.zip
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challenge.zip
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