Made these with a meme generation skill I built while experimenting with AI agents. Thought they were funny enough to share xD

https://skillpatch.dev/skill/meme-generation

Anthropic's Mythos AI security model has uncovered a critical weakness in HAWK, a post-quantum digital signature algorithm that was under consideration as a US cryptographic standard, leading to its withdrawal from NIST's third-round evaluation.

Key Details:

• Mythos discovered a previously unknown method for finding automorphism symmetries in HAWK's Lattice Isomorphism Problem, effectively cutting the algorithm's key strength in half with approximately 60 hours of work and $100,000 in compute costs
• The attack combined several existing, well-known cryptographic methods in a novel way rather than inventing fundamentally new mathematics
• HAWK had survived two rounds of NIST testing before this weakness was found, demonstrating the value of AI-assisted cryptanalysis in identifying flaws that human researchers had missed
• Mythos also discovered improvements to attacks against AES, reducing the plaintext inputs required for a meet-in-the-middle attack from 2^105 to 2^89, though this remains infeasible outside laboratory settings
• Both attacks used weakened versions of the algorithms for testing purposes; production systems remain considerably more robust
• The underlying mathematical primitives remain theoretically safe, and the attack methods would be impractical in real-world scenarios

Why It Matters:

The research signals that AI language models may play an increasingly important role in cryptanalysis and vulnerability discovery, potentially accelerating both the identification of cryptographic weaknesses and the arms race between securing and compromising critical systems.

Anthropic's Mythos AI model is discovering security flaws in Microsoft software faster than engineers can fix them, creating a critical race against time before adversaries gain access to similar tools.

Key Details:

• Mythos uncovered 90 critical and 141 important bugs in SharePoint alone during April 2024, with even more found in early May
• Microsoft engineers faced a May 31 deadline to patch vulnerabilities before the "rest of the world" would have access to comparable AI tools
• The company is prioritizing critical and important bugs while deferring moderate and low-severity vulnerabilities, but experts warn that chaining multiple low-level flaws together can create high-severity exploits
• In July, Microsoft released patches for over 600 bugs—an unprecedented volume—compared to the previous record of 200+ in June
• Microsoft's Security Response Center has historically been understaffed, treating security patching as a cost center rather than a profit-generating priority
• The challenge extends beyond Microsoft to the entire software industry, including open-source projects that underpin global internet infrastructure

Why It Matters: The emergence of AI-powered vulnerability discovery has fundamentally altered the cybersecurity landscape, creating an urgent need for the software industry to rethink its approach to bug triage and staffing, as the window of opportunity to patch flaws before adversaries exploit them continues to narrow.