geeknik
Geeknik’s Lab
A place for me to dump art and code
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Wallace and Associates Inc
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Amidst the chaotic ballet of flickering city lights and the silent whispers of the ancient forest, we stand—a motley troupe of dreamers, warriors, and philosophers, each dancing to the rhythm of the human condition.
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i'm working on a new security tool called dbe.
dbe is designed to simulate a cybersecurity scenario in which an agent learns to perform various actions in order to infect machines, perform self-healing, and propagate to other machines. The agent uses a Q-learning algorithm to learn which actions to take based on the current state of the environment.
The script takes a list of IP addresses as input and scans them to see if they are vulnerable to a specific exploit. If a vulnerable machine is found, the agent tries to infect it by connecting to a remote server and executing a payload. The agent also performs periodic self-healing actions to ensure that it is running smoothly, and propagates to other machines in order to spread the infection.
The script uses a Q-table to keep track of the expected rewards for each action in each state, and updates the Q-table based on the rewards received for each action taken. The agent also uses a decaying exploration probability to balance exploration and exploitation of the environment.
The script is written in Python and uses various libraries such as subprocess, threading, and numpy to perform its functions. It can be run from the command line with various options to customize its behavior.
In simpler terms, the script is like a game where the agent learns to take actions in order to achieve a goal (in this case, infecting machines and spreading the infection). The agent uses a special kind of learning algorithm called Q-learning to figure out which actions are the best to take in each situation. The script also includes some safety measures to make sure the agent doesn't cause any harm to itself or others.
https://github.com/geeknik/dbe
#open source#python#github#geeknik#writing#blog#tumblr#twitter#foss#machine learning#cybersecurity#infosec#malware
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Fathom Analytics: A Privacy-First Alternative to Google Analytics
Fathom Analytics positions itself as a privacy-first alternative to Google Analytics, emphasizing simplicity, user privacy, and compliance with global data protection laws. This review explores Fathom Analytics' features, benefits, and how it compares to Google Analytics, particularly focusing on its privacy benefits.
Privacy and Compliance
Fathom Analytics is designed with privacy as its core principle, ensuring full compliance with GDPR, ePrivacy (including PECR), COPPA, and CCPA. Unlike Google Analytics, Fathom does not use cookies or track personal data, making it a more privacy-friendly option for website analytics. This approach eliminates the need for cookie consent banners, simplifying compliance efforts for website owners.
Simplicity and User Experience
Fathom Analytics offers a simple and clean interface, focusing on providing essential website metrics without overwhelming users with excessive data. Its dashboard is easy to navigate, offering real-time updates and a straightforward presentation of the most important data, such as page views, sessions, and referral sources. This simplicity extends to its setup process, which is quick and user-friendly.
Performance and Features
Despite its simplicity, Fathom Analytics does not compromise on performance. Its lightweight script ensures minimal impact on site speed, a crucial factor for user experience and SEO. Fathom also offers real-time analytics, uptime monitoring, and the ability to track multiple websites under a single account. However, it may lack some of the advanced features and detailed analytics provided by Google Analytics.
Pricing and Value
Fathom Analytics operates on a subscription basis, with pricing starting from $15/month for up to 100,000 page views. While it is a paid service, unlike the free version of Google Analytics, Fathom's pricing model is designed to be fair and scalable, offering good value as website traffic grows. The focus on selling software rather than user data aligns with Fathom's privacy-first ethos. You'll save 17% by switching to yearly billing.
Comparison with Alternatives
When compared to other privacy-focused analytics tools like Plausible, Fathom Analytics stands out for its simplicity, compliance, and feature set. Both Fathom and Plausible prioritize user privacy and offer similar core functionalities, but Fathom's additional features like uptime monitoring and its approach to data retention may offer better value for some users.
Conclusion
Fathom Analytics emerges as a compelling alternative to Google Analytics for users prioritizing privacy, simplicity, and compliance. Its straightforward approach to web analytics, combined with its commitment to user privacy and data protection laws, makes it an attractive option for businesses and website owners looking to navigate the complexities of online privacy regulations. While it may not offer the depth of analytics provided by Google Analytics, its focus on essential metrics, ease of use, and performance optimization presents a balanced solution for those seeking a privacy-first analytics tool.
Use our link to receive a $10 credit on your first invoice.
#geeknik#art#blog#writing#fathom#privacy#analytics#google#big tech#algorithm#internet#tracking#websites#discount#coupon#credit
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