[Advanced Keylogger 3.1 Keygen
Christel Malden
I have a keylogger written in python listening and sending a file containing the keys pressed by the user to an email every time the user press esc. i want to detect it using Sophos edr by a query that look to a process sending a file periodically or by looking in the system for process that is listening for keys. Does this query exist or should i create one my own. if anyone know how please share.
An advanced keylogger is very difficult to detect because of its unique ability to reside in the kernel of the operating system. If you want to protect yourself from an advanced keylogger, you need effective anti keylogging tools.
A kernel-based keylogger has rootkit functionalities enabling it to load and function directly from the computer memory. It records characters as they travel through the operating system without any trace.
One of the best ways to protect yourself from keylogger software is by installing patch management on your computer. In IT security, patch management is essential. This is because failing to install necessary software updates makes your computer exposed to security risks.
Hackers scan devices for vulnerabilities. If you are using an outdated software, chances of them finding a security hole will be much higher. Hackers can use an unpatched security hole as an entryway to inject an advanced keylogger into your computer.
Patch management helps you find and install software updates automatically. It looks for the latest software update for your operating system then notifies you of its availability. With patch management, you can keep your software up-to-date. Thus, prevents advanced keylogger software attacks.
An advanced keylogger is difficult to detect. It could be lurking on your computer without your knowledge. To avoid falling victim to an advanced keylogger attack, use 2-step verification. It prevents hackers from gaining access to your account.
Key encryption software is an important cybersecurity component now that advanced keylogger attacks proliferate. It prevents an advanced keylogger from recording the exact keystrokes by encrypting them.
When the keys you type on the keyboard travel through the operating system, key encryption software encrypts them with random characters. Thus, an advanced keylogger from stealing personal information.
Advanced anti malware software has a sophisticated feature that constantly monitors the keyboard to prevent advanced keylogger attacks. It also monitors computer memory and registry which an advanced keylogger targets.
Traditional anti malware software may not be enough to protect you from an advanced keylogger. It can detect traditional types of keyloggers. But an advanced keylogger may evade its detection. So choose advanced anti malware for complete protection against an advanced keylogger.
Endpoint protection is essential to protect endpoint devices not only from an advanced keylogger but also from sophisticated malware attacks. It is an approach designed to monitor the business network and endpoint devices through a single server. A security agent is installed on all endpoint devices. This tool reports the statuses and activities of the endpoint devices to the central server.
Xcitium Advanced Endpoint Protection constantly monitors keyboards against direct access. It verifies the reputation of every file that attempts to access the keyboard. It also notifies the endpoint user of this activity, allowing the user to allow or block the application.
Xcitium Advanced Endpoint Protection also monitors computer memory against malicious modifications. An advanced keylogger targets computer memory to function while remaining invisible. Xcitium Advanced Endpoint Protection prevents any malicious access to computer memory. It prevents different types of fileless malware that can load and function directly from computer memory.
Xcitium Advanced Endpoint Protection also protects the registry keys from unauthorized modification. Advanced malware also targets the registry so it can load in Startup. Xcitium Advanced Endpoint Protection ensures that the registry keys are safe from malicious modifications.
Both because of employee privacy concerns (more about this later) and because of the impracticality of manually reviewing everything that users type, corporate keylogging data is not typically available for manual review. Instead, the data is used for:
As mentioned, searchable terms may include actual text or commands entered by the user, but also text that was pasted, edited, auto-completed, or entered using the mouse, as well as the names of applications run, windows opened, files accessed, and URLs visited. In Unix/Linux environments, search hits will include commands executed (whether typed directly or run via a script or alias), command parameters and arguments, the names of the resources affected by those commands, and even the underlying system calls.
Organizations deploying user activity monitoring systems, such as keyloggers, must usually notify employees that they are being monitored. However, organizations have a huge obligation to protect highly sensitive information, including employee passwords and emails from misuse, abuse or falling into the wrong hands.
For this reason, the recorded keylogging data should be immediately encrypted upon capture, using a salted hash algorithm (such as SHA256). This makes the stored data essentially unreadable and non-decryptable but allows the data to be searchable. In other words, the keylogging data can be used for searching and alert generation, even while the data itself permanently remains completely unreadable.
I made a Python keylogger that sends emails containing recorded data from the target machine, and this post explains how it works! This program is essentially a piece of spyware with features such as keylogging, taking screenshots, recording microphones, and taking webcam pictures.
My intent with this project is purely for learning and experimentation; unethical use is strictly prohibited. Do NOT use this software on resources you do not own or have explicit permissions for.
To start out go to my Github to download the project. Once the project has be downloaded or cloned, it is critical to fully review the README provided. This will ensure proper steps have been taken to minimize issues or errors from missing dependencies. Once the setup.py script has been executed and the programs venv activated, the program is ready to run.
When main is called the path is set depending on the OS, that path tree is checked to ensure all directories exist, and some of the output files are formatted with the system path. It then proceeds to call functions to gather network information, system/hardware information, clipboard contents, and browser history.
Depending on the OS, a series of commands are run as a child process; while the output is redirected to the network information report file. The command syntax varies depending on OS, but it usually is pretty simple to find a cross-platform equivalent. This chain of commands will retrieve the WiFi network profiles including passwords, IP configuration, arp table, routing table, active TCP/UDP ports, and query for the public IP through the ipify.org API.
For Linux systems, the netsh export wifi profile approach does not exist and the process is a bit more complicated. So to prevent the code from getting too complex I added a separate function called in the beginning of the Linux portion of the get_network_info(). This code will use nmcli to query a list of the wifi profiles, separate the output line by line to iterate over it, and feed each wifi profile into the nmcli query command to get the full profile details to be written to the output report file.
If using the Windows OS, the clipboard information will be gathered and stored to output the report file. If an error occurs getting the clipboard, then the error that caused the clipboard failure will be written.
This process sets the screenshots directory path and ensures it exists. It then enters a loop that grabs a screenshot, saves the output png file, and sleeps for five seconds per iteration for a total of five minutes.
This thread imports the scipy module used for audio recordings. Through a combination of research and testing, this module works best with threading and importing directly in the thread rather than the header of the file. It is not something I would normally do but it produced the most stable results for a multi-platform Linux-Windows program. After, the frames-per-second is set and a loop that is controlled in an identical manner to the Screenshot process is entered. In this loop, the recording is set with varying channels based on the OS, the sound device waits to be called to record for the set duration, and the result is written to a sound file.
This process sets the WebcamPics path and ensures the directories exist. The cv2 video capturing instance is set and the process enters a loop that is controlled just like the Screenshot process and Microphone thread. In this loop, an image is captured through the webcam, the images file path is set based on current iteration, and the webcam picture is saved to image file.
After the five-minute timeout and the processes/threads have terminated, the file list is set and specific files are appended to the list depending on the OS due to syntax variations generating different reports.
This EmailHeader function formats the email header contents, such as who the email is from, where it is going, the subject, and a confirmation message in the body of the email. The email data is attached to the email message instance which is returned to SendMail.
The email attach creates an attachment instance, sets the file contents as the attachment payload, base64encodes the attachment, adds header to the attachment instance, and returns the attachment instance to SendMail.
After emailing is complete, the program completes its execution cycle by performing a recursive delete where exfiltration data was stored. Now at a blank slate, the program is ready to loop back to main() where it began. The Advanced Keylogger is designed to continually loop until Ctrl + c is detected or the process is killed.
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