Daria

InfoSec gal in Hel

[🐉Raylith!🐉 @actualNico19009]

@pcgamer This image is ever relevant whenever this happens

[Valeria Ptah @ValeriaPtah]

And every year more and more women around 💪💪💪 #Disobey2025

[@mikko @mikko]

One month to go until the opening of the Museum of Malware Art in Helsinki!
https://t.co/MnzTJVfPiV

[AnhPhu Nguyen @AnhPhuNguyen1]

Are we ready for a world where our data is exposed at a glance? @CaineArdayfio and I offer an answer to protect yourself here:

https://t.co/LhxModhDpk

[Tsarathustra @tsarnick]

Sora performance scales with compute

[Tim Brooks @_tim_brooks]

there are lots of creative ways to use Sora. here's one that's really cool: we can extend the same video backward in time multiple different ways, resulting in videos that start different but all have the same ending

(also, crashing into the San Francisco sign at the end was entirely Sora's idea 😂)

[Tim Brooks @_tim_brooks]

we can also use Sora to edit a video from a text instruction using SDEdit. "rewrite the video in a pixel art style."

[OpenAI @OpenAI]

Introducing Sora, our text-to-video model.

Sora can create videos of up to 60 seconds featuring highly detailed scenes, complex camera motion, and multiple characters with vibrant emotions.

https://t.co/YYpOAcrXQ3

Prompt: “Beautiful, snowy Tokyo city is bustling. The camera moves through the bustling city street, following several people enjoying the beautiful snowy weather and shopping at nearby stalls. Gorgeous sakura petals are flying through the wind along with snowflakes.”

[robert @bigwariofan]

thinking about this again

[KennyLauderdale @KennyLauderdal3]

Green skies in Dragon Ball? (what did Kenny Mean by this) When the scan was done on film for the Dragon Box home releases, the film colors had faded. Toei shipped it as is & just never corrected it. Many Toei shows scanned from film like Goldfish Warning also exhibit this issue.

[Jari Pirhonen @japi999]

Top humans risks to organizations by SANS 2023 Security Awareness report.

- social engineering attacks (e.g. phishing)
- passwords/authentication
- poor incident detection/reporting
- IT admin mistakes

https://t.co/u4MaQ9Db4Q @SANSAwareness

#infosec #cybersecurity

[Sahil Bloom @SahilBloom]

Hitchens’ Razor

Anything asserted without evidence can be dismissed without evidence.

Newton’s Flaming Laser Sword

If something cannot be settled by reasonable experiment or observation, it's not worth debating.

*These will save you from wasting time on pointless arguments!*

[Sahil Bloom @SahilBloom]

Hanlon's Razor

Never attribute to malice that which can be adequately explained by stupidity.

In assessing someone's actions, we shouldn't assume negative intent if there's a viable alternative explanation—different beliefs, lack of intelligence, incompetence, or ignorance.

[Sahil Bloom @SahilBloom]

A “razor” is a rule of thumb that simplifies decision making.

The most powerful razors I’ve found:

[Sahil Bloom @SahilBloom]

The Invested vs. Spent Test

Time is either *invested* or *spent*.

Invested time—actions that compound:

• Reading
• Physical activity
• Mindfulness
• Relationship building

Spent time—actions that don’t.

When choosing what to do, prioritize investing time, not spending it.

[Troy Hunt @troyhunt]

There it is - Pwned Passwords is now doing north of 2 *billion* requests a month, peaking at 91.59M in a day with a cache-hit ratio of 99.52%. All free, open source and out there for the community to do good with 😊

[Corben Leo @hacker_]

What happens when you combine hackers and phones?

Phreaking?
Social Engineering?

Sure! Valid answers.

What you didn't think of is web vulnerabilities.

XXE.

I found an XXE by phone call in a bug bounty program.

Here's the story:

[Adam Kay @amateuradam]

A quick thread on in the importance of being careful what data you share - even if you're the Queen. Today, Her Maj tweeted this lovely picture, gor bless er, etc. You might think that the contents of the red box would be official business. And you'd be right. 1/6

[Dr. Stephanie Lovett @uffishthot]

@DoraVargha Great example of how everyone thinks algorithms are neutral and will fix human biases but actually they reinforce and amplify them. Invisible Women by Caroline Criado Perez has a lot of data about this in, for example, hiring