arm32_ibase_detection
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.1%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: chongwick
- Language: Python
- Default Branch: main
- Size: 477 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 3 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
Citation
README.md
iBase.py calculates the image base (virtual memory loading point) of ARM 32-bit binaries using a combination of statistical, structural, and lightweight semantic analysis.
Owner
- Login: chongwick
- Kind: user
- Repositories: 1
- Profile: https://github.com/chongwick
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Chong" given-names: "Daniel" - family-names: "Zhang" given-names: "Junjie" - family-names: "Boland" given-names: "Nathaniel" - family-names: "Chen" given-names: "Lingwei" title: "Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features" date-released: 2023-11-01 url: "https://github.com/chongwick/ARM32_IBase_Detection"