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Volexity found a 0-day exploitation of a vulnerability in GlobalProtect ( CVE-2024-3400 ). The threat actor, UTA0218, attempted to install UPSTYLE, a custom #Python backdoor, on the firewall, allowing the attacker to execute additional commands on the device.

PYTH- FLR- MMTR: Crypto Highlights.

Cryptos Headlines Platform Has Launched Its Native Token, Early Public Sale Is Live On CryptosHeadlinesToken.com

Read Here: https://www.binance.com/en/feed/post/3711942727010

#Python #FLR #Bitcoin #Altcoin #Cryptocurrency

$PYTH

PYTH 1D: PYTH back to weekly and daily demanad zone. Could be a nice point buy some in spot for longterm. Two more demand zones are marked as well for ladder buying.
Personally, this is my heaviest bag average around 0.6 want to unload above previous ATH and more but will see how the PA reveals, I don't have a deadline for it.
#PYTH/USDT #PYTH/USDT. #PYTHUSDT #Python

$PYTH

PYTH looking good, I'll suggest going in spot trade, targeting 0.9788 and 1 and then ATH. Invalidation below 0.85

#PYTH #Python

- Meta AI has introduced 'Code Llama,' an AI coding tool based on the Llama2 large language model (LLM).

- Code Llama is designed to generate and discuss computer code and comes in two versions: Code #Llama Python and Code Llama Instruct.

- Code Llama #Python is optimized for Python applications, while Code Llama Instruct generates code and provides safe answers using natural language.

- It is #available in three parameter sizes: 7-billion, 14-billion, and 34-billion, each with varying functionality and hardware requirements.

- Code Llama is accessible under the same community license agreement as Llama2, permitting personal and business use with proper attribution.

- The tool can be advantageous for businesses and individuals in coding-related fields, including fintech, Web3, trading bots, and cryptocurrency exchanges.

- Being a free-to-use #community-licensed option, Code Llama can level the playing field for smaller development teams in #blockchain and crypto projects.

5 #Python libraries to interpret machine learning models

1. Shapley Additive #Explanations

2. Local Interpretable Model-Independent Explanations

3. Explain Like I’m 5

4. Yellowbrick

5. PyCaret

#crypto2023 #X