mfi
I have first hand experience with a similar fraud in Zürich. I had an apartment which I looked for a new tenant to. During my search there was a ”woman” that contacted me and said that she was interested. She behaved really weirdly and couldn’t come on the showing, but requested some videos. I didn’t think more about it and send over a ”digital showing” where I showed certain parts of the apartment. We later found a new tenant and she moved in. I didn’t think more about it.
Fast forward 3 months and a random man knocks on my door during the morning. He asked if I was <insert my name>, and I said yes. He then asked if I rented out the apartment above (which was my old apartment). After explaining that we’d already found a tenant for it, he just said: ”F*ck, then I‘ve been scammed“.
It turned out that this strange ”woman” actually just used me as one side of their scam, getting credible videos where I talked and showed the apartment. The scammers then used all my ad pictures, my name and address to put up a fake ad.
He moved from Austria and paid ~2000 euro in deposit, then arrived to an apartment that was already rented out. He showed me a fradulent contract and my videos I previously sent.
After all of this, I did an image search using my apartment pictures, and found and took down 3 fake listings on different websites.
Tell HN: Codex once again automatically activates /fast on app update
Be aware that when you update Codex, OpenAI automatically activates /fast, even if this setting was turned off before the update. This will result in you burning way more credits than expected. How convenient for OpenAI.
Tell HN: Codex macOS app switches to Fast speed after update without asking
I just updated my Codex macOS app, which enables the new GPT-5.5 model. I've intentionally kept the speed to "Standard" to not burn through my tokens too fast.After the latest update of the app, I notices that OpenAI changed the speed to Fast without asking, a change that burns up to 1.5x more tokens.
Here are some interesting additional information from the attacks we analyzed:
* Email bombing as a service is a thing, where you can buy 10,000 credits for $10 and easily bomb target inboxes with over 2000 emails per hour.
* Most all email bombing attacks starts in the morning, between 8-10.
* Most common day of attack is Friday
[0] https://www.xorlab.com/en/
[1] https://www.xorlab.com/en/blog/from-chaos-to-control-insight...
Insights from 24 real subscription/email bombing waves
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GitLab: Active Incident Around Website, API, CI/CD
New Phishing Wave Exploits Google's Application Integration Service
Zürich voters ban noisy leaf blowers
Show HN: Stream any RCA (e.g. vinyl) to your Sonos system using a RPi
From chaos to control: Insights from 24 email bombing waves
Lead pollution in Greenland ice indicates plagues, wars and imperial expansion
Victor Ambros and Gary Ruvkun Won the Nobel Prize for Work on MicroRNA
Phishing on GitHub: A Sophisticated Attack Leveraging Brand Trust
If you're interested in doing something similar, I wrote an extensive guide of how to build it here: https://github.com/maxvfischer/DIY-ai-art.
The guide doesn't include the ML part, so that you will have to learn on your own and integrate into the project :)
Show HN: How to build your own CNC-machine from scratch
Phishing on GitHub: A Sophisticated Attack Leveraging Brand Trust
HTML smuggling: How malicious actors use JavaScript/HTML to fly under the radar
Show HN: How to build a CNC-machine from scratch, using 40x 3D-printed parts
[1] https://skatteverket.se/servicelankar/otherlanguages/inengli...