film – Light leaks all over the photos

it’s my first time using an analog camera and I’ve developed my first roll, I use Fujifilm MDL-9 and Lomography CN 400. I know that my problem is light leaks and it’s coming from the back of the camera (i think), but the fact that there are so many horizontal lines of it in some photos that I took makes me confused about where’s is the leak that caused it.

example of my photos
example of my photos
example of my photos
example of my photos

And here are the back side of my camera: enter image description here

How to report PII leaks from a small business? [closed]

An HR consultancy I know has a big data protection issue. They company provides resume editing and interview coaching services. Some of the clients include Federal employees with active security clearances.

When loading a specific URL to access the site, and then stopping the page load process, one can access user name, email, phone number, and resume drafts, as well as last 4 digits of social for the clients. Pressing the "X" icon in chrome while the page is loading literally bypasses the login requirement and shows a page with all of the client data. The resume drafts contain PII like address, phone number, linkedin, email address, in some cases even active security clearance status. This is an issue that was reported 6+ months ago, but the company doesn’t care.

The URL needed for the exploit doesn’t come up when trying to do a URL fuzzer or an XML sitemap, but is still relatively generic. I guess, technically, in order to use the exploit a person needed to have been logged in at some point. Or have the URL shared. I’m sure there’s other ways to find the URL, since it’s quite generic, but I have not been able to do so since I’m not a security professional.

This seems like a giant security issue that should be fixed, but I don’t know whom to inform, and don’t want to be involved any more than necessary.

Any advice?

web browser: what information leaks to a site from which I am connecting images?

Suppose I have two websites: website A and website B. Website A direct links to images on website B. What information will visitors send to website A to website B?

In particular, I would like to know which headers the user's browser sends to website B when representing website A.

Medium format – Slight leaks in the handling of the RB67 film?

Recently I used a rental RB67 and when looking at the 120 negatives, I noticed a pattern of two types of possible light leaks throughout the film I filmed (but fortunately only in some images on each roll). As it was a rental, I don't have that camera anymore, so the problem can't be solved, so I'm just looking for a probable cause.

In the first case, there is a dark band that covers the numbers at the bottom of the negatives. This only seems to occur in the last 3 images or so on the roll, and interestingly this also seems to occur on one edge of the film. I suspect that when I removed the film from the camera, I did not keep the airtight envelope. Is my guess correct?

enter the description of the image here

The second problem I noticed is a probable leak of light in a corner of some paintings. There does not appear to be any pattern in which the frames have this leak. The only explanation I can think of is that I was changing the lenses and that the mirror was not sealing the film perfectly (and I was not using the dark slide when changing the lenses, is it a bad thing?) But when I look at the images on each side of the affected, all were taken with the same lens. This can be explained by changing the lens to test the field of vision and then returning to what it originally had. So, any ideas about this leak?

enter the description of the image here

lighting – Softbox configuration for body leaks (athlete)

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web browser: leaks of details about the user in the web application

Imagine a web application, which is used to obtain Open Graph labels from url. The user can submit a form, which has only one URL entry. The server opens the url in a headless browser, get og:title, og:description and og:image values ​​and sends it to the customer.

They said yes og:image It is not cached on the server, by linking the image so details about the user who sees the preview will be filtered.

I don't understand what details can be filtered. Can anyone explain this problem a bit?

How do you fix memory leaks in JavaScript?

I am currently trying to make my first neural network with the MNIST database in JavaScript. I finished the neural network itself, but I'm just beginning to train it. Every time I try to load the page, the memory failure error finally appears and the page crashes. Honestly, I have no idea why it is happening, and I am a bit new to programming with JavaScript. Here is the code:

"use strict";
        window.onload = function() {
            load();
        };
        //window.onload = function() {
        function normalize(n, inputs1) {
            //Y = (X-A)/(B-A) * (D-C) + C -- mapping function
            //(n-0)/(m-0) * (1-0) + 0 -- plug in variables
            //return n/m; //Simplify
            var sum = 0;
            for (var i = 0; i < inputs1.length; i++) {
                sum += inputs1(i);
            }
            sum += 1;
            var m = sum;
            console.log(sum + ", " + n);
            return n/m;
        }

        function activate(n) {
            var e = 2.718281828459
            //return 1/(1+(e^(n*-1/20)))*0.98+0.01;
            return n;
        }

        function Neuron(inputs) {
            this.inputs = inputs;
            this.weights = ();
            this.bias = Math.random();
            this.output = 0;

            for (var i = 0; i < inputs.length; i++) {
                this.weights(i) = Math.random();
            }

            this.feedForward = function(shouldNormalize) {
                this.output = 0;
                for (var i = 0; i < inputs.length; i++) {
                    this.output += inputs(i)*this.weights(i);
                }
                this.output += this.bias;
                if (shouldNormalize == true) {
                    this.output = normalize(this.output, this.inputs);
                }
                this.output = activate(this.output);
            }
        }

        function cost(outputs, desiredOutputs) {
            var sum = 0;
            for (var i = 0; i < outputs.length; i++) {
                var output = outputs(i);
                var desiredOutput = desiredOutputs(i);
                sum += (output-desiredOutput)^2;
            }
            return sum;
        }

        function load() {
            var num = Math.floor(Math.random() * 10)
            var digit = mnist(num).get();
            var context = document.getElementById('mnistCanvas').getContext('2d');

            context.clearRect(0, 0, document.getElementById('mnistCanvas').width, document.getElementById('mnistCanvas').height);

            mnist.draw(digit, context);
            var size = 500;
            for (var x = 0; x < 28; x++) {
                for (var y = 0; y < 28; y++) {
                    var opacity = digit(y*28+x);
                    context.fillStyle = "rgba(255,255,255," + opacity + ")";
                    context.fillRect(x*size/28,y*size/28,size/28,size/28);
                }
            }

            var inputs = ();
            for (var x = 0; x < 28; x++) {
                for (var y = 0; y < 28; y++) {
                    var opacity = digit(y*28+x);
                    inputs.push(opacity);
                }
            }

            var layer1 = ();
            var layer2 = ();
            var outputs = ();

            context.strokeStyle = "rgb(255,255,255)";

            for (var i = 0; i < inputs.length; i++) {
                context.beginPath();
                context.arc(600, i*35 + 20, 15, 0, 2 * Math.PI);
                context.stroke();
                var opacity = inputs(i).toFixed(2);
                context.fillStyle = "rgba(255,255,255," + opacity + ")";
                context.fill();

                context.strokeText(inputs(i).toFixed(2), 590, i*35 + 25);
            }

            for (var i = 0; i < 16; i++) {
                layer1(i) = new Neuron(inputs);
                layer1(i).feedForward(true);
            }

            for (var i = 0; i < layer1.length; i++) {
                for (var i1 = 0; i1 < 50; i1++) {
                    context.beginPath();
                    context.moveTo(600 + 20, i1*35 + 20);
                    context.lineTo(750 - 20, i*35 + 20);

                    var opacity = layer1(i).weights(i1);
                    context.strokeStyle = "rgba(255,255,255," + opacity + ")";

                    context.stroke();

                    context.strokeStyle = "rgb(255,255,255)";
                }

                context.beginPath();
                context.arc(750, i*35 + 20, 15, 0, 2 * Math.PI);
                context.stroke();
                var opacity = layer1(i).output.toFixed(2);
                context.fillStyle = "rgba(255,255,255," + opacity + ")";
                context.fill();

                context.strokeText(layer1(i).output.toFixed(2), 740, i*35 + 25);
            }

            for (var i = 0; i < 16; i++) {
                var layer1outputs = ();
                for (var i1 = 0; i1 < 16; i1++) {
                    layer1outputs.push(layer1(i1).output);
                }
                layer2(i) = new Neuron(layer1outputs);
                layer2(i).feedForward(true);
            }

            for (var i = 0; i < layer2.length; i++) {
                for (var i1 = 0; i1 < layer1.length; i1++) {
                    context.beginPath();
                    context.moveTo(750 + 20, i1*35 + 20);
                    context.lineTo(900 - 20, i*35 + 20);

                    var opacity = layer2(i).weights(i1);
                    context.strokeStyle = "rgba(255,255,255," + opacity + ")";

                    context.stroke();

                    context.strokeStyle = "rgb(255,255,255)";
                }

                context.beginPath();
                context.arc(900, i*35 + 20, 15, 0, 2 * Math.PI);
                context.stroke();
                var opacity = layer2(i).output.toFixed(2);
                context.fillStyle = "rgba(255,255,255," + opacity + ")";
                context.fill();

                context.strokeText(layer2(i).output.toFixed(2), 890, i*35 + 25);
            }

            for (var i = 0; i < 10; i++) {
                var layer2outputs = ();
                for (var i1 = 0; i1 < 16; i1++) {
                    layer2outputs.push(layer2(i1).output);
                }
                outputs(i) = new Neuron(layer2outputs);
                outputs(i).feedForward(true);
            }

            for (var i = 0; i < outputs.length; i++) {
                for (var i1 = 0; i1 < layer2.length; i1++) {
                    context.beginPath();
                    context.moveTo(900 + 20, i1*35 + 20);
                    context.lineTo(1050 - 20, i*35 + 20+105);

                    var opacity = outputs(i).weights(i1);
                    context.strokeStyle = "rgba(255,255,255," + opacity + ")";

                    context.stroke();

                    context.strokeStyle = "rgb(255,255,255)";
                }
                context.beginPath();
                context.arc(1050, i*35 + 20+105, 15, 0, 2 * Math.PI);
                context.stroke();
                var opacity = outputs(i).output.toFixed(2);
                context.fillStyle = "rgba(255,255,255," + opacity + ")";
                context.fill();

                context.strokeText(outputs(i).output.toFixed(2), 1040, i*35 + 25+105);
                context.strokeText(i, 1070, i*35 + 25+105);
            }

            var size1 = 100;
            for (var x1 = 0; x1 < 4; x1++) {
                for (var y1 = 0; y1 < 4; y1++) {
                    for (var x = 0; x < 28; x++) {
                        for (var y = 0; y < 28; y++) {
                            var opacity = layer1(y1*4+x1).weights(y*28+x)-0.5;
                            if (opacity >= 0) {
                                context.fillStyle = "rgba(0,255,0," + opacity + ")";
                            } else {
                                context.fillStyle = "rgba(255,0,0," + Math.abs(opacity) + ")";
                            }
                            context.fillRect(x*size1/28 + x1*(size1+10),y*size1/28 + y1*(size1+10) + 600,size1/28,size1/28);
                        }
                    }
                }
            }
            var outputsAsNumbers = ();
            for (var i = 0; i < outputs.length; i++) {
                outputsAsNumbers.push(outputs(i).output);
            }
            var guess = Math.max(...outputsAsNumbers);
            for (var i = 0; i < outputs.length; i++) {
               if (outputs(i).output == guess) {
                   guess = i;
               }
            }
            var font = context.font;
            context.font = "30px Verdana";
            context.strokeText("My guess: " + guess, 1200, 300);
            context.strokeText("Real Answer: " + num, 1200, 350);

            var desiredOutputs = ();
            for (var i = 0; i < outputs.length; i++) {
                if (i = guess) {
                    desiredOutputs.push(1);
                } else {
                    desiredOutputs.push(0);
                }
            }
            console.log(desiredOutputs);

            var c = cost(outputsAsNumbers, desiredOutputs);
            context.strokeText("Error: " + c, 1200, 400);

            context.font = font;
        }

The lack of memory error occurs around the end of the file, on line 236:

for (var i = 0; i < outputs.length; i++) {
    if (i = guess) {
         desiredOutputs.push(1);
    } else {
         desiredOutputs.push(0);
    }
}

I tried using strict mode, eliminating all this. Global variables and convert them into regular variables, I've been trying to figure out how to fix it for hours, I've tried using Chrome DevTools to take memory snapshots and compare them, etc.

Here is the link to the website where I am working on it if you wish: here

Theory of representation rt. Distance between Verma modules in certain leaks "strongly" standard

In P. 128 of the book: Representations of semi-simple lie algebras in the BGG category $ mathcal {O} $.

I quote: "…… Delorme comes to
disappearance criteria for Extn O, which are more general than those of the Theorem
6.11 above. These involve a type of length function $ ell ( mu, lambda) $ expressing the distance between $ M ( mu) $ Y $ M ( lambda) $ In certain standard leaks "strongly":

$ mathrm {Ext} ^ n_ mathcal {O} (M ( mu), M ( lambda)) = 0 $ for all $ n> ell ( mu, lambda) $,

$ mathrm {Ext} ^ n_ mathcal {O} (M ( mu), L ( lambda)) = 0 $ for all $ n> ell ( mu, lambda) $, …… "

My question:

  1. Does anyone know what the definition of length function is? $ ell ( mu, lambda) $?

Leave $ rho $ be the average sum of positive roots in $ Phi ^ + $, $ M (u cdot (-2 rho)) $ Be the Verma module with the greatest weight. $ u cdot (-2 rho) $ Y $ L (u cdot (-2 rho)) $ To be the simple module of greater weight with the greater weight. $ u cdot (-2 rho) $.

  1. I want to show that for everyone $ x not le w $, we have $ mathrm {Ext} ^ n_ mathcal {O} (M (x cdot (-2 rho)), L (w cdot (-2 rho))) = 0 $ for all $ n en mathbb {N} $.
    Does anyone know how to show this fact?

Where can I download database dumps of multiple leaks? [on hold]

I see that from time to time some website is hacked and the database is sold online. Later, someone put it on torrents, is there any site that maintains the directory of those torrents?