61–70 of 204 posts
Has anyone tried a long exposure to see if the motion smears into something discernible? Obviously harder to expose a bright screen without some ND since the shutter speed is the phone's main exposure control
If you zoom out to 25 % the text is clearly visible and screenshottable.
You can take TWO screenshots, moments apart, open in GIMP, paste one over the other and choose any one of these laying modes: Lighten, Screen, Addition, Darken, Multiply, Linear burn, Hard Mix, Difference, Exclusion, Subtract, Grain Extract, Grain Merge, or Luminance. https://ibb.co/DDQBJDKR
Or just copy the text from the url. Not very secure, really. :D
Coinbase was hacked for $400M when literally someone from outsourced support services was taking screenshots on their phone! The culprit had more than 10k photos of all security details for thousands of wealthy customers.
What i am supposed to see here? Its just static noisy background
You can take TWO screenshots, moments apart, open in GIMP, paste one over the other and choose any one of these laying modes: Lighten, Screen, Addition, Darken, Multiply, Linear burn, Hard Mix, Difference, Exclusion, Subtract, Grain Extract, Grain Merge, or Luminance. https://ibb.co/DDQBJDKR
You actually don't need any image editing skill. Here is a browser-only solution:
1. Take two screenshots.
2. Open these screenshots in two separate tabs on your browser.
3. Switch between tabs very, very quickly (use CTRL-Tab)
Source: tested on Firefox
You can take TWO screenshots, moments apart, open in GIMP, paste one over the other and choose any one of these laying modes: Lighten, Screen, Addition, Darken, Multiply, Linear burn, Hard Mix, Difference, Exclusion, Subtract, Grain Extract, Grain Merge, or Luminance. https://ibb.co/DDQBJDKR
A friend of mine made a similar animated GIF type captcha a few years ago but based on multiple scrolling horizontal bars that would each reveal their portion of the underlying image including letters, and made a (friendly) bet that it should be pretty hard to solve.
Grabbing the entire set of frames and greyscaling them, doing an average over all of them and then applying a few minor fixups like thresholding and contrast adjustment worked easily enough as the letters were reveleaed in more frames than not (I don't think that would affect the difficulty much though if it were any diffierent). After that the rest of the image was pretty amenable to character recognition.