I get a value that seems to be the identifier. This number seems to be a 32-bits number. Will this Hash method provide a unique identifier? What is the probability 2 different files will produce the same hash. But worst, in a database with 10,000 files (for example) what will be the probability that any pair of files will share a common hash?
The deep changes I mean would be for a solution that calculates the hash once on app initialization. This would require changes to how identifiers work and are stored, but the benefit would be a big speed-up for Identifier trees that could become unordered.
A templated hash function IMHO is much too slow. Identifier is optimized for fast comparison based on the unique String pointer. This makes it suited for std::map and similar containers. If the hash needs to be recalculated all the time using a templated hash function, performance of unordered_map is going to be much worse than map. If the hash was cached, there was no question about which solution is faster ever.
Why not put the pre-calculated hash directly inside the Identifier class itself? It would increase sizeof(Identifier) by a size_t. But it would avoid the lookup, threading issues and main memory access.
I'm making a hashing function that takes in a userid and hashes it to make it not identifiable to the user. Then I will use this hashed user id to anonymously store userdata. In order to make the userdata storage truly not identifiable to the user I'm sure there's lots of other things I will need to do, feel free to comment on what those might be, but my main goal here is to get feedback on the actual hashing function itself. Is the hashing function overkill? Is it not doing enough? Am I using the salt incorrectly (I'm guessing the answer it yes to this one)?
Now I understand that email should be able to be narrowed down using various parameters; subject; date; time; to: field; from field; cc field, but is there a "primary key" that is hashed to be able to for instance send to someone so they can find the same email? git commits work like this, why can't email? If someone was referring to an email, they could simply send you the hash, you could plug that into the search field somehow and find exactly what they are talking about.
So simply having an ID works out better than having a hash. For example: If you send the same email message simultaneously to a list and to someone privately, the list-sent copy will often have its Subject prefixed and a footer appended, but it will still have the same Message-ID as the direct privately-sent copy.
DB 21c XE, Apex 22.1
please move to appropriate forum if i have posted in wrong.
want to use hashed password in app, have tried below code as MD5 is deprecated but its not working showing below error ( DBMS_CRYPTO.HASH invalid identifier ). how can be achieved it? please help.
note: for below code i referred to the topic:
Hashes are commonly used to store sensitive information like credentials to avoid storing them in plaintext. With tools like Hashcat, it's possible to crack these hashes, but only if we know the algorithm used to generate the hash. Using a tool called hash-identifier, we can easily fingerprint any hashes to discover the right Hashcat mode to use to retrieve a password.
Aside from cracking hashes, hash-identifier is also helpful for identifying which hashing algorithm is being used to provide a checksum value for a download. And it can be used to determine what program a hashed file or value may belong to, such as an SQL database or another vendor-specific format.
When passwords are lifted from a database or computer, they're usually stored as hashes so that hackers can't read any passwords in plaintext. A hashing function turns the readable passwords into jumbled up messes of letters and numbers that should not be able to be reverse-engineered.
But two or more of the same passwords using the same hashing function will have the same hash, so one could determine the hashes for an entire password list using that hashing function, then use that data to determine the matching password. And that's what a lot of password-cracking tools do.
While hashes are better than storing a password in plaintext, they can still be cracked if a good rule or password list is used with Hashcat or another cracking program. But you can't just point Hashcat at any hash and expect it to work. Imagine Hashcat as a drill with many different sized bits. For each type of hash we want to crack, we need to attach a different "bit" to Hashcat by setting it to the correct mode to attack the target hash.
Although you may have seen both before, it may not be immediately obvious which of these hashes is MD5 and which is SHA1. It can get even more confusing with similar hash types that have different mode numbers in Hashcat. In the case of the hashes above, it makes a big difference which is which.
To follow this guide, you'll need Python3 installed on your computer (it's cross-platform), so get that before continuing if you don't already have it. You'll also need Hashcat, which you can download by running apt install hashcat after updating your computer with apt update and apt upgrade.
If you want to generate some of your own hashes to try cracking, you can do so with the format echo -n PLAINTEXT (HASHTYPE)sum. To create a SHA1 hash of the word "nullbyte, I would use the following command.
To get started, let's enter the first into the waiting hash-identifier command prompt. As you can see, it yields a quick ID as a MySQL hash. This is the one we'll try to crack, so we'll return to it later.
Above, we can see two examples that might be a match for our first hash (7196759210defdc0) from the previous step. At a glance, the mode 200 "MySQL323" seems like the best match, but we can confirm it by running the example hash through hash-identifier.
Once we know the mode to use by identifying the hash, we can attack it using Hashcat. For it to work, we'll need to create a dictionary file with passwords on it, which Hashcat will then use to attack the hash. There are many available lists online like RockYou but, in this case, we'll be creating one called example.dict to put some password guesses in.
After adding some password guesses that include the word "hashcat" for this example, hit Control-X to exit, then Y, and confirm the filename. We can now use this file as our list of plaintext guesses, along with the mode we discovered, to crack the hash. The basic formula we will use will look like this:
When we run it with our hash of 7196759210defdc0 (the "HASH_VALUE") with our mode of 200 (the "MODE_NUMBER"), the results should look like below. If you have an older system like the example one I'm using, you may need to use the --force command with it.
There we go! We get the output of 7196759210defdc0:hashcat, meaning we found the value of the MySQL323 hash to be the word "hashcat" by comparing it through all the words in the example.dict file.
Whenever you're dealing with an unknown type of hash, the first step to making it useful is identifying it correctly. While hash-identifier isn't a perfect tool, it's an easy way of spotting most hashes and distinguishing between several types of common and similar-looking hashes that have a different mode in Hashcat. Even if hash-identifier isn't sure what kind of hash you're dealing with, comparing the response of example hashes from the Hashcat website can help you verify that you've found the right hash.
I hope you enjoyed this guide to fingerprinting unknown hashes! If you have any questions about this tutorial on hash cracking and identification or you have a comment, ask below or feel free to reach me on Twitter @KodyKinzie.
We use another platform to export invoice totals into an API to create invoices in Invoice Ninja.
But to do this we need the Client Hash IDs.
We already have the un-hashed IDs in our other platform.
So my question is, what algorithm is used to create the hashed IDs, so that I can use the same Hash Algorithm within my API process to match up the clients.
How do I search for a client, without having to provide a hashed ID.
Can you give me a Curl command showing how to search for client based on some other field, like normal ID, Name or Custom field etc.
Or if you can tell me what Hash algorithm Invoice Ninja uses, I can just use that same Algorithm to get the Hash for the normal ID within the Workflow.
The CSOR only registers NIST-approved cryptographic algorithms. When an algorithm has already been externally assigned an object identifier (e.g., for EdDSA digital signature), no new OID will be assigned in the CSOR arc. Information about externally assigned OIDs is provided toward the end of the page.
In computer hypertext, a URI fragment is a string of characters that refers to a resource that is subordinate to another, primary resource. The primary resource is identified by a Uniform Resource Identifier (URI), and the fragment identifier points to the subordinate resource.
The fragment identifier introduced by a hash mark # is the optional last part of a URL for a document. It is typically used to identify a portion of that document. The generic syntax is specified in RFC 3986.[1] The hash mark separator in URIs is not part of the fragment identifier.
A URI ending with # is permitted by the generic syntax and is a kind of empty fragment. In MIME document types such as text/html or any XML type, empty identifiers to match this syntactically legal construct are not permitted. Web browsers typically display the top of the document for an empty fragment.
The fragment identifier functions differently to the rest of the URI: its processing is exclusively client-sided with no participation from the web server, though the server typically helps to determine the MIME type, and the MIME type determines the processing of fragments. When an agent (such as a web browser) requests a web resource from a web server, the agent sends the URI to the server, but does not send the fragment. Instead, the agent waits for the server to send the resource, and then the agent processes the resource according to the document type and fragment value.[2]
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