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Hackers target Python devs in phishing attacks using fake PyPI site

The Python Software Foundation warned users this week that threat actors are trying to steal their credentials in phishing attacks using a fake Python Package Index (PyPI) website.

PyPI is a repository for Python packages, accessible at pypi.org, that offers a centralized platform for developers to distribute and install third-party software libraries. It hosts hundreds of thousands of packages and is the default source for Python’s package management tools.

“PyPI has not been hacked, but users are being targeted by a phishing attack that attempts to trick them into logging in to a fake PyPI site. Over the past few days, users who have published projects on PyPI with their email in package metadata may have received an email titled ‘[PyPI] Email verification’ from the email address [email protected],” the PyPI admin Mike Fiedler cautioned.

Microsoft to disable Excel workbook links to blocked file types

Microsoft has announced that it will start disabling external workbook links to blocked file types by default between October 2025 and July 2026.

After the rollout, Excel workbooks referencing blocked file types will display a #BLOCKED error or fail to refresh, eliminating security risks associated with accessing unsupported or high-risk file types, including, but not limited to, phishing attacks that utilize workbooks to redirect targets to malicious payloads.

This change is being introduced as a new FileBlockExternalLinks group policy, which expands File Block Settings to include external workbook links.

The Growing Impact Of AI And Quantum On Cybersecurity

#ArtificialIntelligence #CyberSecurity #QuantumComputing


The transformative effects of emerging technologies in this year by artificial intelligence and quantum computing will be hugely impactful; however, their cybersecurity challenges on society will require the need for proactive security adaptation and collaboration to mitigate new threats.

AI agent autonomously solves complex cybersecurity challenges using text-based tools

Artificial intelligence agents—AI systems that can work independently toward specific goals without constant human guidance—have demonstrated strong capabilities in software development and web navigation. Their effectiveness in cybersecurity has remained limited, however.

That may soon change, thanks to a research team from NYU Tandon School of Engineering, NYU Abu Dhabi and other universities that developed an AI agent capable of autonomously solving complex cybersecurity challenges.

The system, called EnIGMA, was presented this month at the International Conference on Machine Learning (ICML) 2025 in Vancouver, Canada.

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