M. Shobana

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Int. J. Commun. Syst.
G. Nagappan, K. G. Maheswari, C. Siva, M. Shobana
2024 J jnl
J. Intell. Fuzzy Syst.
Gaganpreet Kaur, M. Shobana, F. Kavin, S. Sellakumar, D. Meenakshi, N. Bharathiraja
2023 J jnl
Int. J. Comput. Appl. Technol.
N. Bharathiraja, M. Shobana, M. Vijay Anand, R. Lathamanju, C. Shanmuganathan, V. Arulkumar
2023 J jnl
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
S. Subasree, N. K. Sakthivel, M. Shobana, Amit Kumar Tyagi
2023 J jnl
Int. J. Commun. Networks Distributed Syst.
Nagendra Panini Challa, C. Shanmuganathan, M. Shobana, C. H. Venkata Sasi Deepthi, N. Bharathiraja
2022 J jnl
Neural Process. Lett.
Veeran Ranganathan Balasaraswathi, Mary Shamala L, Yasir Hamid, M. Pachhaiammal Alias Priya, M. Shobana, Muthukumarasamy Sugumaran
2022 J jnl
Trans. Emerg. Telecommun. Technol.
M. Shobana, C. Shanmuganathan, Nagendra Panini Challa, S. Ramya
2022 J jnl
Int. J. Syst. Assur. Eng. Manag.
M. Shobana, R. Pandeeswari, S. Raghavan
2021 J jnl
Wirel. Pers. Commun.
M. Shobana, R. Sabitha, S. Karthik
2020 conf
ICSOC Workshops
M. Shobana, Poonkuzhali Sugumaran
2012 conf
CCSEIT
M. Shobana, R. Saranyadevi, S. Karthik
redb/extractors/decompiler/bninja/run.py
← Index redb/extractors/decompiler/bninja/run.py python
import argparse
import json

from decompiler import BinaryNinjaDecompiler
from utils.json_encoder import BinaryNinjaEncoder


def run_from_command_line():
    parser = argparse.ArgumentParser(description="Binary Ninja Decompiler")
    parser.add_argument("filepath", help="Path to the binary file to analyze")
    parser.add_argument(
        "--output", "-o", help="Output JSON file path (default: stdout)"
    )
    parser.add_argument(
        "--timeout",
        "-t",
        type=int,
        default=1200,
        help="Analysis timeout in seconds (default: 1200)",
    )
    args = parser.parse_args()

    with BinaryNinjaDecompiler(args.filepath, args.timeout) as decompiler:
        success = decompiler.extract()

        if not success:
            decompiler.log.error("Analysis failed")
            return 1

        # Output results
        if args.output:
            with open(args.output, "w") as f:
                json.dump(decompiler.analysis_results, f, cls=BinaryNinjaEncoder)
            decompiler.log.info(f"Results written to {args.output}")
        else:
            print(json.dumps(decompiler.analysis_results, cls=BinaryNinjaEncoder))

    return 0


if __name__ == "__main__":
    run_from_command_line()