Neeraj Yadav

12 papers B 1C 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Inf. Vis.
Julian H. Kang, Neeraj Yadav, Siva Ramadoss, Jaeheum Yeon
2024 conf
AISEM
Maria Giovanna Rizzo, Neeraj Yadav, Dario Morganti, Paolo Calorenni, Emanuele Luigi Sciuto, Marco Nicolò, Barbara Fazio, Salvatore Guglielmino, Leandro Lorenzelli, Sabrina Conoci
2024 conf
AISEM
Paolo Calorenni, Emanuele L. Sciuto, Neeraj Yadav, Cristina Potrich, Leandro Lorenzelli, Laura M. De Plano, Salvatore Oddo, Sabrina Conoci
2024 J jnl
Sensors
Neeraj Yadav, Flavio Giacomozzi, Alessandro Cian, Damiano Giubertoni, Leandro Lorenzelli
2024 conf
ICIMTech
Joanna Willianto, Aryo Bismo, Dewi Tamara, Neeraj Yadav, Pantri Heriyati, Anita Maharani
2024 C conf
IV
Julian H. Kang, Neeraj Yadav, Siva Ramadoss, Jaeheum Yeon
2024 conf
ICECET
Anurag Yadav, Neeraj Yadav, Major Singh Goraya
2023 J jnl
Comput. Hum. Behav.
Julian H. Kang, Neeraj Yadav, Siva Ramadoss, Jaeheum Yeon
2023 conf
IC3I
Neeraj Yadav, Riya Kumbhar, Angelo Goves, Chrisel Coelho, Irwin Rebello, Siddesh Mahale, Ameya Wadekar, Shailendra Aswale
2022 J jnl
Sensors
Neeraj Yadav, Neda Sadeghi, Julian Kang
2020 B conf
Graphics Interface
Vinayak R. Krishnamurthy, Ergun Akleman, Sai Ganesh Subramanian, Katherine Boyd, Chia-An Fu, Matthew Ebert, Courtney Startett, Neeraj Yadav
2018 J jnl
Future Gener. Comput. Syst.
Neeraj Yadav, Major Singh Goraya
redb/extractors/decompiler/bninja/utils/hashes.py
← Index redb/extractors/decompiler/bninja/utils/hashes.py python
import hashlib

import tlsh


def calculate_md5(input_str):
    return hashlib.md5(input_str.encode("utf-8")).hexdigest()


def calculate_sha256(input_str):
    """Calculate SHA256 hash of a string."""
    return hashlib.sha256(input_str.encode("utf-8")).hexdigest()

def calculate_tlsh(data):
    """Calculate TLSH fuzzy hash of data if available.

    Args:
        data: The string data to calculate the hash for

    Returns:
        The TLSH hash as a string, or None if not available

    Note:
        TLSH requires at least 50 bytes of data to generate a hash
    """
    try:
        if len(data) >= 50:
            return tlsh.hash(data.encode("utf-8"))
    except Exception:
        pass
    return None