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Jun 14, 2020 - From superbowl to summer bbq and everything in between, appetizer and snack foods to please everyone. A keylogger can help you in many situations. It can take advantage of a vulnerable web application.

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In previo us versions of Kali that had Vega preinstalled, you could go to Applications –> Web Application Analysis —> Vega. But now, cd into the Vega folder, then do an ls of it.

Only a very few people listed BACKUP LOG as a commonly run command. This is probably because it’s just not something that a lot of people do manually, so it’s not one that comes to mind when talking about common scripts.


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This category is for dark net markets that utilize multisig transactions, or those that have displayed great conduct over a long period of time—with no security issues, minimal reports about scamming or technical issues, and administrators that have proven their competency. Usage guides for multisig transactions on the various dark net markets can be found here.

To install Vega, you'll need to download the Vega file and unzip it. But first, to make sure you don't get any further errors, configure dpkg. Then, we need to install some dependencies and tools. Vega needs WebKit 1/0, or it won't install; Java is also needed; and unzip will unzip the Vega file that'll be downloaded.


We got all the data including usernames and passwords. But passwords seem to be encrypted.

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Now You Have Got All Databases In Result. Tick Databases And Hit Get Tables Button.

If it worked, great, you should see Vega's start screen before Vega opens all the way. If it didn't, make sure you're using the right Java version as described in Step 1.

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Home Upgrade Search Memberlist Extras Tools Award Goals Help Wiki Follow Contact 11-20-2020 06: 18 AM. Login Register Home; Upgrade; Account; Memberlist; Extra Pages; Hacker Tools; Award Goals; Help Docs; Wiki; Twitter; Contact Us Market Profile; Contracts; Trusted; Vendors; Buy Sticky; Buy Sales Tag; Buy. Would it be possible to create a program that can generate working codes for Google Play money. Victim's Operating System versions, services running and applications installed will be published on Blogs and Forums (https://soyoungsodesign.com/serial-code/?file=9704) B. Victim's personally identifiable information such as billing address and credit card details, may be extracted and exploited by the attacker C. Once infected, the computer will be unable to boot and the Trojan will attempt to format the hard disk D. Denial of Service attack.

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If Vega reports a "High" alert, don't panic. Vega's modules are sensitive and sometimes produce false positive alerts for vulnerabilities that may not actually exist. False positives aren't necessarily a bad thing. That being said, it's a good idea to comb through the report and manually investigate each alert. Think of these alerts as areas worth further investigating and not definitive indications that something needs to be fixed.

Many people have stopped using sp_spaceused in favor of directly querying the system tables and DMVs for object usage information. However, my survey results indicate the enduring popularity of sp_spaceused.


I Am Going To Choose Username, Password, UserGroup Columns. There Should Be Stored Data Related To Admin’s Username, Password Etc.

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Alternatively (https://soyoungsodesign.com/serial-code/?file=3541) this scenario may give unpredictable results with -overwrite-tables` -queries-per-transaction -q. Number of INSERT queries to execute per transaction during restore, default. To start viewing messages, select the forum that you want to visit from the selection below. Once these images and videos have been included into your presentation you can also edit them as you like them like rotating the image, adding animation and effects to different portions of the presentation.

You just provide the table name and the name of the set of statistics in which you’re interested. In this example, I’m looking at the primary key. The results come in three parts.


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For several reasons, I lumped these three scripts together. While I was very explicit in asking people not to nominate third party scripts, Adam Machanic’s sp_whoisactive kept showing up over and over again, so I decided that I couldn’t very well keep it off the list.

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On the one hand, I’m rather shocked to see RESTORE DATABASE so far down the list. On the other hand, when I think about the number of backups I have done versus the number of times I’ve used those backups to restore a database, it makes sense. On the gripping hand, I’m not surprised that it made the list because we’ve all had to restore a backup or three.

Click on the password hashes and copy them. Then click on “MD5″ tab and paste the password.


If you prefer to anonymize your Vega scans and proxy all connections, check the "Enable SOCKS proxy" option under "General," and enter a proxy address and port. If you're using Tor, enter the default Tor address and port (127/0.0/1:9050), which should be auto-populated already. This will help conceal the origin of your scans. Otherwise, if you're using a free or premium proxy service, choose the address and port you prefer.

After starting an application for the first time, I like to view the available preferences and options. In the top-left corner, click on the "Window" menu, then view the "Preferences," which I'll walk you through in the next two sections.


Coming in at #10 is DBCC SHOW_STATISTICS. Again, I’m surprised it came in so far down the list. Maybe I’ve had to deal with bad parameter sniffing too many times. Maybe I just do lots of index and query tuning. Whatever the cause, I look at the statistics on my tables and indexes more than my peers, but clearly, they’re looking at them too since this command made the list.

If you want to see how SQL Server thinks your data looks to the optimizer, statistics are the answer. The syntax for retrieving them is pretty clear.


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One of the primary tasks you’re going to find yourself doing as a DBA is managing files on disks and worrying about disk space. One of the ways you’re going to worry about it is by investigating the individual objects, tables and indexes, which are using up your disk space. That’s where sp_spaceused comes in handy.


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At the top is the header which provides some general information. Next is the density graph which shows the uniqueness or selectivity of the column or columns that make up this set of statistics. Finally, you have the histogram, up to 200 steps showing the data distribution of the first column out of however many columns there are in this set of statistics. I chose to show the primary key for the table so that you can see how, despite there being 31,465 rows in the table, the histogram only shows two steps. This is because every single one of those rows is unique for the primary key value, so the distribution doesn’t need 200 steps to show how things are laid out within the data.


It shows aggregations of performance metrics on statements within queries, procedures and batches. However, this information is only retained on the queries that are currently stored in cache. As soon as the query leaves the cache, this information goes away completely. If the query comes back into cache, it starts over at scratch gathering its metrics.

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Armed with a simple script like this, you can quickly and easily see everything that you can see through sp_who2. Using the same data (the same FROM clause), you can start to slice and dice it in interesting ways.


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Running sp_help on different objects will result in different result sets, showing varying amounts of details for those objects. For example, Listing 5 will run sp_help on a table.

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Most DBAs have been taken by surprise, at one time or another, by extremely rapid growth in the size of the transaction log. It can be cause by lack of log backups, or infrequent log backups, or by some other problem, such as a long running or orphaned transaction that is preventing reuse of existing log space.


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You can see the basics right at the top, describing the table in question, the table owner and data the table was created. Below that, you start seeing details. The second section shows the columns, such as the IDENTITY column and its definition.

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