Url random number

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Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. A friend is linking my page from his site. As I need users to avoid caching when visiting my page, I want the url to have this form:.

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As my friend does not have installed php, how can I build the link with the random number using Javascript? Also my friend asked me to give him just the url, with no further functions as his page is already loaded with them. Can it be done? Note that if you have more than one assignment - for example in a loop, you need to add to the getTime since an iteration of the loop is faster than a millisecond:. Use Math. Beware you might get the same output twice from Math.

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Asked 9 years, 3 months ago. Active 5 days ago. Viewed 29k times. Thanks a lot. Active Oldest Votes. It will keep adding a new date each time it is clicked. I thought it's ok for situation with just couple of clicks.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. Information Security Stack Exchange is a question and answer site for information security professionals.

It only takes a minute to sign up. Based on the above I am leaning towards option 1 as all the logic is in a single place and it looks more secure.

Is there any industry best practice to deal with this type of problem? The one-time link pattern is pretty common for things like email verification. These are just precautions to avoid trusting user input. If you want to be really thorough, you can send them the actual random ID or token URL, and then store a hash in the database to avoid someone using the token if you have a data breach.

You're pretty vague about the context of the proposed AES-encrypted parameters. I would usually include sensitive information which is not required for the URL-routing in a message body, instead of the URL. That way, it doesn't appear in web server or proxy logs.

AES-encrypted data may also push you over the URL length limit pretty quickly, depending how large the plaintext content is.

url random number

Edit: For completeness, Azure Storage SAS Tokens are a great example of a cryptographic method that requires no database record, and is revokable. Revocation is done by changing the service's API Key Given that I don't have a lot of information about the system in use, I would recommend the simpler database lookup, over any solution that requires cryptographically sophisticated measures.

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Also, for cryptographic methods to work as a one-time link, some parameter known by the service, and included in the URL, must be changed when the link is used. This parameter doesn't have to be a database lookup, but there does need to be a persisted change. For example, if the link is a one-time upload URL, the presence of a file in the upload directory might invalidate the URL. Lastly, the database-stored value is simpler in that there is only one source to check for validity.

With the no-database solution, you'd need to check against the secret ie. To use symmetric crypto for an URL parameter would give you one advantage: It eliminates the need to do a database lookup. The downside is that you introduce a secret the encryption key that you need to protect and maintain.

Since you will need to do the database lookup anyway for checking the revocation status, you don't get any upside. So I would just go for approach 1. And as nbering says, make sure to hash them without salt to protect you in case of a breach. The premise is simple, you send a request with an encrypted string that matches the unencrypted side of the query. Then all you need to do is decrypt it on the server. Revoking the string could be as simple as deleting a temporary encryption key meaning that the server wouldn't be able to decrypt the request, even if it was cached.

Sign up to join this community. The best answers are voted up and rise to the top. Home Questions Tags Users Unanswered. Asked 2 years ago. Active 2 years ago. Viewed 9k times. I have a requirement to generate a one time use URL which should have the following features: As the URL query parameters may contain sensitive information, it should be encrypted on top of https encryption.

Once used, the URL cannot be used again. URLs have automatic expiry after a certain amount of time.Insecure randomness errors occur when a function that can produce predictable values is used as a source of randomness in security-sensitive context.

Computers are deterministic machines, and as such are unable to produce true randomness. Pseudo-Random Number Generators PRNGs approximate randomness algorithmically, starting with a seed from which subsequent values are calculated. There are two types of PRNGs: statistical and cryptographic. Statistical PRNGs provide useful statistical properties, but their output is highly predictable and forms an easy to reproduce numeric stream that is unsuitable for use in cases where security depends on generated values being unpredictable.

Cryptographic PRNGs address this problem by generating output that is more difficult to predict. For a value to be cryptographically secure, it must be impossible or highly improbable for an attacker to distinguish between it and a truly random value. In general, if a PRNG algorithm is not advertised as being cryptographically secure, then it is probably a statistical PRNG and should not be used in security-sensitive contexts.

This code uses the Random. Because Random. Although the underlying design of the receipt system is also faulty, it would be more secure if it used a random number generator that did not produce predictable receipt identifiers, such as a cryptographic PRNG. Insecure Randomness Description Standard pseudo-random number generators cannot withstand cryptographic attacks.

Watch Star. The OWASP Foundation works to improve the security of software through its community-led open source software projects, hundreds of chapters worldwide, tens of thousands of members, and by hosting local and global conferences.Use this generator to generate a trully random, cryptographically safe number. It generates random numbers that can be used where unbiased results are critical, such as when shuffling a deck of cards for a poker game or drawing numbers for a lottery, giveaway or sweepstake.

You can use this random number generator to pick a truly random number between any two numbers.

url random number

For example, to get a random number between 1 and 10including 10, enter 1 in the first field and 10 in the second, then press "Get Random Number". Our randomizer will pick a number from 1 through 10 at random.

To generate a random number between 1 anddo the same, but with in the second field of the picker.

url random number

To simulate a dice rollthe range should be 1 to 6 for a standard six-sided dice. To generate more than one unique random number, just select how many you need from the drop-down below.

For example, selecting to draw 6 numbers out of the set of 1 to 49 possible would be equivalent to simulating a lottery draw for a game with these parameters.

You might be organizing a charity lottery, a giveaway, a sweepstakes, etc. It is completely unbiased and outside of your controlso you can assure your crowd of the fairness of the draw, which might not be true if you are using standard methods like rolling a dice. If you need to choose several among the participants instead, just select the number of unique numbers you want generated and you are all set.

Random Number Generator

However, it is usually best to draw the winners one after another, to keep the tension for longer discarding repeat draws as you go. A random number generator is also useful if you need to decide who goes first in some game or activity, such as board games, sport games and sports competitions. Nowadays, a number of government-run and private lotteries and lottery games are using random number generators instead of more traditional drawing methods.

RNGs are also used to determine the outcomes of all modern slot machines. Finally, random numbers are also useful in statistics and simulations, where they might be generated from distributions different than the uniform, e. For such use-cases a more sophisticated software is required. There is a philosophical question about what exactly "random" isbut its defining characteristic is surely unpredictability.

We cannot talk about the unpredictability of a single number, since that number is just what it is, but we can talk about the unpredictability of a series of numbers number sequence.

If a sequence of numbers is random, then you should not be able to predict the next number in the sequence while knowing any part of the sequence so far. Examples for this are found in rolling a fair dice, spinning a well-balanced roulette wheel, drawing lottery balls from a sphere, and the classic flip of a coin.

How to Generate Random Numbers in Ruby

No matter how many dice rolls, coin flips, roulette spins or lottery draws you observe, you do not improve your chances of guessing the next number in the sequence. For those interested in physics the classic example of random movement is the Browning motion of gas or fluid particles.

Given the above and knowing that computers are fully deterministic, meaning that their output is completely determined by their input, one might say that we cannot generate a random number with a computer. However, one will only partially be true, since a dice roll or a coin flip is also deterministic, if you know the state of the system.

The randomness in our random number generator comes from physical processes - our server gathers environmental noise from device drivers and other sources into an entropy poolfrom which random numbers are created [1]. A pseudo-random number generator PRNG is a finite state machine with an initial value called the seed [4]. Upon each request, a transaction function computes the next internal state and an output function produces the actual number based on the state.

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A PRNG deterministically produces a periodic sequence of values that depends only on the initial seed given. An example would be a linear congruential generator like PM Thus, knowing even a short sequence of generated values it is possible to figure out the seed that was used and thus - know the next value.Hey, I was developing a report in Tableau Desktop, saved the file as DasboardName, but when published on our cloud environment the URL link changed and added random numbers after Dashboard Name, which is not ideal for me.

Do we know why this happened and how to remove the issue? This typically happens when you have a "generic" dashboard name. In your case, you call it "Dashboard Name". If you change that to something more detailed, such as "Company ABC Dashboard Portfolio" then the random numbers should no longer appear. So the issue was that we had same name in different folder and hence why Tableau added random numbers on to the HTML, as we removed the test file with same name and re-uploaded the report the issue was fixed.

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Please enter a title. You can not post a blank message. Please type your message and try again. I have the same question Show 0 Likes 0. This content has been marked as final. Show 4 replies. What issues does this create for you? Why is it a concern? That's great! Glad it was fixed. Would you be able to mark this as answered so that the thread can be closed out?

32 - Random class ( generate a random number with a range ) - Java Tutorials

Go to original post. Retrieving dataNo computer can generate truly random numbers purely by computation. To a human observer, these numbers are indeed random. There will be no short repeating sequences, and, at least to the human observer, they'll present no clear pattern.

However, given enough time and motivation, the original seed can be discovered, the sequence recreated and the next number in the sequence guessed.

Random URLs and How to Create Them in ASP.Net

For this reason, the methods discussed in this article should probably not be used to generate numbers that must be cryptographically secure. Pseudorandom number generators must be seeded in order to produce sequences that differ each time a new random number is generated.

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No method is magical — these seemingly random numbers are generated using relatively simple algorithms and relatively simple arithmetic. By seeding the PRNG, you're starting it off at a different point every time. If you didn't seed it, it would generate the same sequence of numbers each time. In Ruby, the Kernel srand method can be called with no arguments. It will choose a random number seed based on the time, the process ID and a sequence number. Simply by calling srand anywhere at the beginning of your program, it will generate a different series of seemingly random numbers each time you run it.

This method is called implicitly when the program starts up, and seeds the PRNG with the time and process ID no sequence number. This method, called with no arguments, will return a random number from 0 to 1.

However, Ruby makes things a bit easier if you're using Ruby 1. However, what if you want to generate a number from 10 to 15? Typically, you'd generate a number from 0 to 5 and add it to However, Ruby makes it easier. Make sure you pay attention to the two types of ranges. Sometimes you need a random-looking sequence of numbers, but need to generate the same sequence every time.

For example, if you generate random numbers in a unit test, you should generate the same sequence of numbers every time.

A unit test that fails on one sequence should fail again the next time it's run, if it generated a difference sequence the next time, it might not fail. There is one global state for the PRNG that all the code shares. If you change the seed or otherwise change the state of the PRNG, it may have a wider range of effect than you anticipated.

However, since programs expect the result of this method to be random — that's its purpose! Share Flipboard Email. Michael Morin. Computer Science Expert. Michael Morin is a computer programmer specializing in Linux and Ruby.

He has 30 years of experience studying, teaching and using the programming language. Updated November 05, Generate a number from 0 to 10 In a more readable way puts rand Generate a number from 10 to 15 Including 15 puts rand Generate the same sequence of numbers every time the program is run srand 5 Generate 10 random numbers puts Being a problem solver, I started thinking of how I could use the Force.

First, we need some randomness. There are a couple of ways to generate random numbers on the Force. The first is to call either of the static methods getRandomInteger or getRandomLong in the Crypto class. The second is to call either the random or rint methods of the Math class. The first selects passengers by name, from a list, for random screening. The second, and I believe better, is to provide a list of numbers that show the line positions of people to pull without knowing their identity.

We could combine the two as well. Figure 1 shows the simple data model that I am using for this example. We could easily write it like this:. A couple things are happening here.

First, on line two we are calling Math. By moding the random number with the upper limit, I make sure I never return an integer bigger than what I want. For instance, if I have a flight with people on it, I would pass that as the limit so I never got a result that said pull the two hundred and tenth passenger out of line.

Now we have a method that returns n number of random integers between 0 and upperLimit, which we want.

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The last thing left to do is make this code mobile friendly. You could also use another client like curl or Postman but you would have to handle the OAuth authentication and URL escaping yourself. As always, if you think of a way to make this better please comment. Selecting Random Numbers and Records on the Force. Random Numbers First, we need some randomness.

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