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PyPI suspends registrations amid malware attackThe Python Package Index (PyPI) has suspended new project creation and us...
17/02/2025

PyPI suspends registrations amid malware attack
The Python Package Index (PyPI) has suspended new project creation and user registration to mitigate an ongoing malware upload campaign. This move comes as security researchers at Checkmarx uncovered a campaign involving multiple malicious packages related to the same threat actors.

The attackers are targeting victims through typosquatting attacks, tricking users into installing malicious Python packages through their command-line interface. This multi-stage attack aims to steal cryptocurrency wallets, sensitive browser data such as cookies and extension data, and various credentials.

The malicious payload also employs a persistence mechanism to survive system reboots, ensuring continued access to compromised machines.

Malicious typosquatting packages
Between 27-28 March 2024, several malicious Python packages were uploaded to PyPI—likely using automation tools. These packages contained malicious code within their setup.py files, enabling automatic ex*****on upon installation.

The setup.py files contained obfuscated and encrypted code using the Fernet encryption module. Upon installation, this code would execute, triggering the retrieval of an additional payload from a remote server. The payload URL was dynamically constructed by appending the package name as a query parameter.

Once decrypted, the retrieved payload revealed an extensive info-stealer designed to harvest sensitive information from the victim’s machine, including cryptocurrency wallets, browser data, and credentials.

Python skills ‘increasingly essential’ to dev teams venturing into advanced AIPython’s status as the primary language fo...
17/02/2025

Python skills ‘increasingly essential’ to dev teams venturing into advanced AI
Python’s status as the primary language for AI and machine learning projects, from its extensive data-handling capabilities to its flexibility and portability, is well-founded. Just how well-founded can be seen in new user data from Snowflake.

The cloud data provider reported that, year on year, use of Python grew 571% in Snowpark, Snowflake’s set of libraries which securely deploy and process non-SQL code. In other words, it will not be a surprise to see Python, Scala and Java at the top of this list, but the numbers are what makes it interesting: Scala saw a 387% increase, compared with Java at 131%.

Alongside this, the report noted that usage of the most popular AI/ML open source Python libraries in Snowpark has increased by 335%. Scikit-learn saw a 474% uptick, while XGBoost, focused on gradient boosting, saw an increase of 357%.

From Snowflake’s perspective, the company was keen to note that the increase went beyond shifting existing work to its platform, but a net increase in experimentation with advanced AI. The research also found that enterprises were increasingly getting value out of their unstructured data; up 123% from a user analysis over six months.

“Given that Python in particular is the language of choice for many developers, data engineers and data scientists, its fast-growing adoption suggests that these unstructured data workflows are not just for building data pipelines, but also involve AI applications and ML models,” the report noted. “Python skills will be increasingly essential to development teams as they venture into advanced AI.”

GitHub updates Innovation Graph with latest developer trendsGitHub’s Innovation Graph has been updated with data from Q4...
17/02/2025

GitHub updates Innovation Graph with latest developer trends

GitHub’s Innovation Graph has been updated with data from Q4 2023, offering a comprehensive view of global developer activity over the past four years.

The latest findings highlight the increasing popularity of AI among developers, leading to a rise in project documentation. This trend is attributed to the widespread use of chat-based generative AI tools like GitHub Copilot Chat and ChatGPT.

“While we recognise that it’s not a panacea, perhaps generative AI technologies are helping to reduce the friction around writing documentation to enable maintainers and contributors to update project documentation more widely and frequently,” noted the GitHub team.

Developers are also using platforms like the Advent of Code to explore and learn more obscure programming languages, including COBOL, which serves as the digital backbone for nearly half of all financial institutions.

“In case you missed it, these are the developers who, with the help of AI, will save us from the next financial crisis,” GitHub quipped about the COBOL resurgence.

Other niche languages seeing an Advent of Code boost include Julia, ABAP, Elm, Erlang, Processing, Brainf*ck, and even LOLCODE.

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