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Researchers devised an attack technique that could have been used to trick ChatGPT into disclosing training data. A team of researchers from several universities and Google have demonstrated an attack technique against ChetGPT that allowed them to extract several megabytes of ChatGPT's training data. The researchers were able to query the model at a cost […]

Researchers devised

Tens of thousands of Microsoft Exchange email servers in Europe, the U.S., and Asia exposed on the public internet are vulnerable to remote code execution flaws. [...]

Asia exposed

Google is introducing a significant change to Chrome's Back/Forward Cache (BFCache) behavior, allowing web pages to be stored in the cache, even if a webmaster specifies not to store a page in the browser's cache. [...]

boost performance cache webmaster specifies

The U.S. Department of Health and Human Services (HHS) warned hospitals this week to patch the critical 'Citrix Bleed' Netscaler vulnerability actively exploited in attacks. [...]

Bleed Netscaler Netscaler vulnerability

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Linux WHOIS steam Kali

The text-to-dense representation techniques vary, evolving from character bi-grams to advanced subword vectorizers, combating OOV challenges like adversarial attacks and typos.  As the strategies include subword-level tokenization and decomposing unknown words into n-grams for effective neural network training. Researchers at Google recently developed and unveiled a new resilient and efficient text vectorizer dubbed “RETVec,” which […] The post Google Revealed RETVec to Defend Malicious Emails & Spam for Gmail Users appeared first on Cyber Security News.

combating OOV Defend Malicious OOV challenges

T3SF is a framework that offers a modular structure for the orchestration of events based on a master scenario events list (MSEL) together with a set of rules defined for each exercise (optional) and a configuration that allows defining the parameters of the corresponding platform. The main module performs the communication with the specific module (Discord, Slack, Telegram, etc.) that allows the events to present the events in the input channels as injects for each platform. In addition, the framework supports different use cases: "single organization, multiple areas", "multiple organization, single area" and "multiple organization, multiple areas". Getting Things Ready To use the framework with your desired platform, whether it's Slack or Discord, you will need to install the required modules for that platform. But don't worry, installing these modules is easy and straightforward. To do this, you can follow this simple step-by-step guide, or if you're already comfortable installing packages with pip, you can skip to the last step! # Python 3.6+ requiredpython -m venv .venv # We will create a python virtual environmentsource .venv/bin/activate # Let's get inside itpip install -U pip # Upgrade pip Once you have created a Python virtual environment and activated it, you can install the T3SF framework for your desired platform by running the following command: pip install "T3SF[Discord]" # Install the framework to work with Discord or pip install "T3SF[Slack]" # Install the framework to work with Slack This will install the T3SF framework along with the required dependencies for your chosen platform. Once the installation is complete, you can start using the framework with your platform of choice. We strongly recommend following the platform-specific guidance within our Read The Docs! Here are the links: Discord Slack Telegram WhatsApp Usage We created this framework to simplify all your work! Using Docker Supported Tags slack → This image has all the requirements to perform an exercise in Slack. discord → This image has all the requirements to perform an exercise in Discord. Using it with Slack $ docker run --rm -t --env-file .env -v $(pwd)/MSEL.json:/app/MSEL.json base4sec/t3sf:slack Inside your .env file you have to provide the SLACK_BOT_TOKEN and SLACK_APP_TOKEN tokens. Read more about it here. There is another environment variable to set, MSEL_PATH. This variable tells the framework in which path the MSEL is located. By default, the container path is /app/MSEL.json. If you change the mount location of the volume then also change the variable. Using it with Discord $ docker run --rm -t --env-file .env -v $(pwd)/MSEL.json:/app/MSEL.json base4sec/t3sf:discord Inside your .env file you have to provide the DISCORD_TOKEN token. Read more about it here. There is another environment variable to set, MSEL_PATH. This variable tells the framework in which path the MSEL is located. By default, the container path is /app/MSEL.json. If you change the mount location of the volume then also change the variable. Once you have everything ready, use our template for the main.py, or modify the following code: Here is an example if you want to run the framework with the Discord bot and a GUI. from T3SF import T3SFimport asyncioasync def main(): await T3SF.start(MSEL="MSEL_TTX.json", platform="Discord", gui=True)if __name__ == '__main__': asyncio.run(main()) Or if you prefer to run the framework without GUI and with Slack instead, you can modify the arguments, and that's it! Yes, that simple! await T3SF.start(MSEL="MSEL_TTX.json", platform="Slack", gui=False) If you need more help, you can always check our documentation here! Download T3SF

MSEL Slack

Organizations in the Middle East, Africa, and the U.S. have been targeted by an unknown threat actor to distribute a new backdoor called Agent Racoon. "This malware family is written using the .NET framework and leverages the domain name service (DNS) protocol to create a covert channel and provide different backdoor functionalities," Palo Alto Networks Unit 42 researcher Chema Garcia 

Agent Racoon Racoon Backdoor Targets Organizations

WeMystic, a website on astrology, numerology, tarot, and spiritual orientation, left an open database exposing 34GB of sensitive data about the platforms’ users. Telling the future is a tricky business, and failure to foretell your own mishaps doesn’t help. The content platform WeMystic is a good example of this, with the Cybernews research team discovering […]

database exposing Fortune-telling spiritual orientation WeMystic exposes

A Russian national has been found guilty in connection with his role in developing and deploying a malware known as TrickBot, the U.S. Department of Justice (DoJ) announced. Vladimir Dunaev, 40, was arrested in South Korea in September 2021 and extradited to the U.S. a month later. "Dunaev developed browser modifications and malicious tools that aided in credential harvesting and data

Creating TrickBot Dunaev Convicted Hacker Vladimir Vladimir Dunaev

By Owais Sultan Discover Particle Network’s Web3 evolution! From a Wallet-as-a-Service tool to the Intent-Centric Modular Access Layer, explore the platform’s… This is a post from HackRead.com Read the original post: Particle Network’s Intent-Centric Approach Aims to Simplify and Secure Web3

Approach Aims Intent-Centric Approach Particle Network