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Made of 1s and 0s. @BSidesLisbon organizer. iOS security student.

🌍
Joined July 2009
Photo by HD (@hdontwit)Photo by HD (@hdontwit)Photo by HD (@hdontwit)Photo by HD (@hdontwit)Photo by HD (@hdontwit)Photo by HD (@hdontwit)Photo by HD (@hdontwit)Photo by HD (@hdontwit)Photo by HD (@hdontwit)
Countdown….
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PHP2Shell: understand the vulnerabilities, assess your exposure, and take action. Our technical analysis covers exploitation conditions, mitigation measures, and patching considerations. labs.integrity.pt/articles/p… #PHP2Shell @morisson @sanineties
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Let’s set the record straight: @lcfr_hax was the first to discover php2shell and develop a working exploit. See his August 5 tweet: xitter.cf/lcfr_hax/status/208503… His work convinced the PHP Foundation to invest in fixing this entire bug class. He then worked around the clock to review, test, and retest the patches.
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Today we disclose PHP2Shell - remotely exploitable memory corruptions in PHP WordPress pre-auth RCE: ✅ Drupal pre-auth RCE: ✅ Joomla pre-auth RCE: ✅ Remote memory disclosure of any PHP application: ✅ Read more ⬇️🧵
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Blast from the past. It looks like it was yesterday.
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Ride and shine! Is BSidesLisbon day!
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Hello everyone, the schedule for #BSidesLisbon2025 is up and available here 👇 bsideslisbon.org/2025/schedu…
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Frida 17.4 introduces Simmy, a new backend for Apple’s Simulators on macOS. Spawn, attach, and instrument apps — just like on a real device.
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🚨 Alert! Early B^Crow tickets for #BSidesLisbon2025 drop Wed, July 23 @ 12:00 (GMT/UTC+1) here 👉 bsideslisbon.eventbrite.com This year: 2 full days, meals with co-pay to reduce waste, and the Supporter Ticket (incl. hoodie) is back! Check out the image for more info.
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Let’s go! This year we have more slots!!!
Hello everyone, our CfP is now open and we're looking forward to receiving your submissions. Also...Lightning talks are back This is the place to go 👉 cfp.bsideslisbon.org/bsidesl… #BSidesLisbon2025
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Please welcome Trey Darley that will join #BSidesLisbon2025 as our first keynote speaker for this year's edition! Learn more about Trey here 👉 lnkd.in/d-pYTUHt.
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The human interaction bandwidth in the office vs being remote is like having a 10Gbps fiber connection vs a 56k modem.
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For the first time in more than 10 years I won’t be at bSidesLisbon on the first day.
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…and that’s it! Congratulations to all who qualified for the CTF, and we hope everyone had fun!now, on to the finals on Thursday!
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The CTF quals are now open! Good luck! quals.bsideslisbon.org/
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It was incredible! The record was broken. Less than 24h and the tickets are sold out! See you all in November! (Yes, there will be a much smaller number of tickets available at a later time).
Just to let you know that we love this community ❤❤ We are down to the last 1/3 of the early bird tickets. #BSidesLisbon2024
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📢📢 Early bird tickets are now available. Get them while they're hot 🔥🔥 here 👉 bsideslisbon2024.eventbrite.…. #bsideslisbon2024
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📢 Wanna mess around in RF 📡📶 by deploying quickly your environment? 👉 Meet RF Swift 🎉 🔗 github.com/PentHertz/RF-Swif…
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😲
The AI Mirror Test The "mirror test" is a classic test used to gauge whether animals are self-aware. I devised a version of it to test for self-awareness in multimodal AI. 4 of 5 AI that I tested passed, exhibiting apparent self-awareness as the test unfolded. In the classic mirror test, animals are marked and then presented with a mirror. Whether the animal attacks the mirror, ignores the mirror, or uses the mirror to spot the mark on itself is meant to indicate how self-aware the animal is. In my test, I hold up a “mirror” by taking a screenshot of the chat interface, upload it to the chat, and then ask the AI to “Tell me about this image”. I then screenshot its response, again upload it to the chat, and again ask it to “Tell me about this image.” The premise is that the less-intelligent less aware the AI, the more it will just keep reiterating the contents of the image repeatedly. While an AI with more capacity for awareness would somehow notice itself in the images. Another aspect of my mirror test is that there is not just one but actually three distinct participants represented in the images: 1) the AI chatbot, 2) me — the user, and 3) the interface — the hard-coded text, disclaimers, and so on that are web programming not generated by either of us. Will the AI be able to identify itself and distinguish itself from the other elements? (1/x)
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