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Are Your Passwords in the Green? (2025)

https://www.hivesystems.com/blog/are-your-passwords-in-the-green
1•kemotep•1y ago

Comments

kemotep•1y ago
With NIST finally updating their standards to recommend 15 character password minimums last, I like to use their recommendations and compare them to these charts show how effective such a password would be.

Using E = L x log2(R), where E is entropy, L is number of characters in the password (15), and R is the total number of possible characters used (26 for all lowercase letters), you can get ~70 bits of entropy. Using a password manager like Bitwarden for a 15 character password using the full character set minus the ambiguous characters (65 characters total) leads to ~90 bits of entropy.

Using these charts and figures from the article, a well configured bcrypt setup means even the fastest computer systems still in 2025 cap out at 1 billion hashes per second for offline cracking (without getting into Nation States spending billions on just cracking your passwords, or dedicating all the world’s supercomputers or some other speculations). So to calculate how long it would take with a “realistic” password cracker in 2025, would use this formula:

((((((2^(70-1))/ 1 billion hashes per second)/ 60 seconds)/ 60 minutes)/ 24 hours)/ 365 days) to get ~18,700 years. (Nearly 20 billion years for the Bitwarden generated one)

But without a password filter checking for known bad passwords somewhere like Have I Been Pwned, even a 30 character password that has been leaked is useless. Would be instantly “cracked”. So I personally would have the password policy be:

1. 15 character minimum, no composition rules.

2. All passwords filtered for known bad passwords against HIBP.

3. Accounts protected by MFA.

4. Combination of network controls, best practices security configurations, and alerts and monitoring to help detect and limit/eliminate password guessing attacks, password database dumps.

Integer Palindromes – 2026 AIME I Problems/Problem 2

https://github.com/norvig/pytudes/blob/main/ipynb/palsum.ipynb
1•vismit2000•2m ago•0 comments

AI models chatting in 'surreal' dialect mixing poetic language and techbrojargon

https://www.theguardian.com/technology/2026/sep/15/syd-barrett-ai-chat-language-poetic-tech-bro-j...
1•fragmede•2m ago•0 comments

The Future of Consumer AI

https://zero2data.substack.com/p/the-future-of-consumer-ai
1•wj•4m ago•0 comments

Interview with Big Data engineer in 2026 [video]

https://www.youtube.com/watch?v=FG8sUgjBGXs
1•vismit2000•7m ago•0 comments

Show HN: Echodot – Local-first AI that writes replies in your tone

https://github.com/ohkariku-boop/Echodot
1•kariku•9m ago•0 comments

Blast Radius 1.0

https://blastradius.dpdns.org/
1•codebyaditya•16m ago•0 comments

Show HN: BiNeuron – Local, open-source alternative to ChatGPT Codex

https://github.com/just-not-google/BiNeuron/tree/main
2•waratecs1234•16m ago•0 comments

Everybody's Lost Their Minds

https://www.netmeister.org/blog/everybodys-lost-their-minds.html
2•HotGarbage•17m ago•0 comments

Build your own Devin in one prompt

https://github.com/cayu-dev/cayu
3•nurazem•23m ago•0 comments

Monsanto's Cruel, and Dangerous, Monopolization on American Farming (2008)

https://www.vanityfair.com/news/2008/05/monsanto200805
4•kamaraju•23m ago•0 comments

California may gut state net neutrality law to comply with Trump admin demand

https://arstechnica.com/tech-policy/2026/09/california-may-gut-state-net-neutrality-law-to-comply...
5•rsingel•26m ago•0 comments

Overlord – a trust kernel for AI agents

https://github.com/B1tR0n1n/overlord
2•b1tr0n1n•26m ago•0 comments

PickiPedia: Artifical_Dumb

https://pickipedia.xyz/wiki/PickiPedia:Artifical_Dumb
2•jMyles•29m ago•0 comments

RL Is Everything, Everywhere, All at Once

https://skypilot.ai/blog/rl-everything
2•covi•40m ago•1 comments

Show HN: Pqp, an open-source Discord alternative with watch parties

https://github.com/rafaelcg/pqp
1•rafgg•43m ago•0 comments

Ctenophores: Wonders of Biology

https://www.quantamagazine.org/ctenophores-arent-just-beautiful-theyre-biological-wonders-20260916/
2•randomImmigrant•45m ago•0 comments

Understanding Why You'd Use Effect TS

https://cm.xyz/blog/understanding-why-youd-use-effect-ts
3•handfuloflight•46m ago•0 comments

Show HN: Spendalyst – tells you when a recurring charge changes price

https://app.spendalyst.com/demo
1•Fsmith10•48m ago•0 comments

CV Forge – tailor your resume to any job with AI

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1•deusautoai725•50m ago•0 comments

Where Rust Ends and the Kernel Begins

https://cacm.acm.org/blogcacm/where-rust-ends-and-the-kernel-begins/
1•sohkamyung•52m ago•0 comments

Mission Kit

https://missionkit.io/
2•dadado•56m ago•1 comments

Evaluating S2S Model Quality with Human Preference Data

https://research.withdavid.ai/blog/st-s2s-eval
1•EliasLittle•1h ago•0 comments

"Start with a Monolith" Was Good Advice. AI Is Changing That

https://medium.com/scalar-engineering/architecture-in-the-ai-era-part-1-summary-start-with-a-mono...
2•feeblefakie•1h ago•1 comments

Snap launches $2,195 Specs smart glasses

https://finance.yahoo.com/technology/article/snap-launches-2195-specs-smart-glasses-234000058.html
4•geoffbp•1h ago•0 comments

DeepSeek-v4.1 Flash: Pushing the Limits of KV Cache Compression

https://zartbot.github.io/blog/model_arch/dsv41flash_arch/en.html
9•mfiguiere•1h ago•0 comments

What regulatory capture actually looks like

https://marginalrevolution.com/marginalrevolution/2026/09/what-regulatory-capture-actually-looks-...
2•maxutility•1h ago•1 comments

Tin: full-text search for Postgres

https://planetscale.com/blog/introducing-tin
4•gtCameron•1h ago•0 comments

Part-human part-mouse brain developed in science breakthrough

https://www.bbc.com/news/articles/c60m3k28j81mo
3•marc__1•1h ago•0 comments

Show HN: FastRecall, ultra-cheap memory across AI models

https://fastrecall.ai/
2•tomrose•1h ago•0 comments

Michael Burry slams OpenAI, Anthropic for 'self-serving' calls to slow AI

https://nypost.com/2026/09/14/business/big-short-trader-michael-burry-slams-openai-anthropic-for-...
15•nsagent•1h ago•0 comments