Kail Linux Penetration Test Tutorial recon-ng Framework information collectionInformation collection is one of the most important stages of cyber attack. To infiltrate an attack, you need to collect all kinds of information about the target. The more information gathered, the greater the probability of a successful attack. This chapter describes the tools for collecting information.Recon-ng FrameRecon-ng is an open-source web reconnaissance (informati
Recon-NG framework of the kill Linux penetration test tutorial, kailrecon-ngRecon-NG framework information collection for the Kail Linux penetration test tutorial
Information collection is one of the most important stages of network attacks. To conduct penetration attacks, you need to collect various types of information about the target. The more information is collected, the higher the probability of successful attacks. This chapter describes inform
Tag: Data is specified with version debug Sha double-click PenetrationRecon-ng
Recon-ng is an open-source web reconnaissance (information gathering) framework written by Python. The Recon-ng framework is a full-feature tool that can automatically collect information and network detection. Its command format and metasploit! The default integration database, the query results can be structured in which to
Enumerate the subdomains of the Baidu website using the Recon/domains-hosts/baidu_site module the instance 3-1 the use Recon/domains-hosts/baidu_site module, Enumeration Baidu the subdomain of the site. The steps are as follows: This article is selected from the Kail linux penetration test training manual ( 1 ) using Recon/domains-hosts/baidu_site module. The e
0. Demand analysis one of the best selling points of Erlang is to provide a very powerful shell to view the various states of the node runtime, with various internal views, debugging and parsing at runtime, and hot-updating code. However, there are always some state viewing functions that you should use sparingly in a production environment. Like what:1. Node call erlang:processes () in the process number above 10w to get all the process PID. Then calculate the length blabla ...; 2. Call Erlang:
Recon is a tool released by Ferd for the production environment to diagnose erlang problems, not just the encapsulation of the Erlang Stdlib interface, but also the memory fragmentation related functions.The following is a rencon of the various functions of interpretation, make a note-Module(recon).-Export([Info/1, INFO/2, INFO/3, INFO/4, Proc_count/2, PROC_WINDOW/3, Bin_leak/1, Node_stats_print/2, NODE_STA
Kail Linux Penetration Test Training manual Chapter 3rd information collectionInformation collection is one of the most important stages of cyber attack. To infiltrate an attack, you need to collect all kinds of information about the target. The more information gathered, the greater the probability of a successful attack. This chapter describes the tools for collecting information. This article is selected from the "Kail Linux penetration Test training manual"3.1
KailLinux Penetration Testing Training Manual Chapter 3rd Information CollectionKail Linux Penetration Testing Training Manual Chapter 3rd Information Collection
Information collection is one of the most important stages of network attacks. To conduct penetration attacks, you need to collect various types of information about the target. The more information is collected, the higher the probability of successful attacks. This chapter describes information collection tools. This document is selec
, y): n = len(x) m = len(y) table = dict() # a hashtable, but we'll use it as a 2D array here for i in range(n+1): # i=0,1,...,n for j in range(m+1): # j=0,1,...,m if i == 0 or j == 0: table[i, j] = 0 elif x[i-1] == y[j-1]: table[i, j] = table[i-1, j-1] + 1 else: table[i, j] = max(table[i-1, j], table[i, j-1]) # Now, table[n, m] is the length of
can be used to distort the scene to enhance the expressiveness
The effect of adding a scene is this
The background on the original, but I made it myself.
three. The following is the effect of making blizzard
1. Create a new layer called "snow", the following figure to create a basic element
When this element is done, it can be deformed.
(The CTRL key is ctrl+t after the shortcut key, you can control each of the control points separatel
Objective:Previously introduced the foreign wireless security audit equipment The WiFi Pineapple nano sslsplit modules and Ettercap modules and experiments.In the process of playing WiFi Pineapple nano device, given that the individual has only a few network cards, testing to find that the Nano can support the network card chip has: rtl8187l, RT3070, AR9271, RT5370 ..., Friends in the process of their own testing if you find that the network card is not recognized, please refer to the use of a f
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Apparently, recursive operations introduce many repeated computations. Dynamic Planning can solve this problem. One of its English explanations is very good: whenever the results of subproblems are needed, they have alreadybeen computed, and can simply be looked up in a table. That is, the calculation of all sub-problems can be completed by the table! Let's take a look at the Code:
def lcs_dp(x, y): n = len(x) m = len(y) table = dict() # a hashtable, but we'll use it as a 2Darray he
soldiers come from:the garrison, the Recon Corp and the Military Police. While the garrison is stationed at the walls and defend the cities, the Recon Corps put their lives on the Lin E and fight the Titans in their own territory. and Military Police serve the King by controlling the crowds and protecting order. In order to make the team more powerful, Levi'll take advantage of the differences between the
Several methods in js to remove spaces between the left and right strings // recon:
//-------------
// Remove the space on the left of the string
Function ltrim (str)
{
If (str. charat (0) = "")
{
// If the first character on the left of the string is a space
Str = str. slice (1); // remove spaces from the string
// This sentence can also be changed to str = str. substring (1, str. length );
Str = ltrim (str); // recursive call
}
Return str;
}
// Rem
CPU consumption of a single erlang process, but neither the current API functions of Erlang nor the scenarios in the community provide an effective solution. Why? Let me briefly extract a description of a erlang_in_anger:> It is generally difficult to properly analyze the CPU usage of an Erlang node to pin problems to a specific piece of Code. With everything concurrent and in a vsan, there is no guarantee you'll find out if a specific process, driver , your own Erlang code, NIFs you could have
// Recon ideas://-------------// Remove the space on the left of the stringFunction ltrim (str){If (str. charat (0) = ""){// If the first character on the left of the string is a spaceStr = str. slice (1); // remove spaces from the string// This sentence can also be changed to str = str. substring (1, str. length );Str = ltrim (str); // recursive call}Return str;}// Remove the spaces on the right of the stringFunction rtrim (str){Var ilength;Ilength =
Several Methods in js to remove spaces between the left and right strings // recon:
//-------------
// Remove the space on the left of the string
Function ltrim (str)
{
If (str. charat (0) = "")
{
// If the first character on the left of the string is a space
Str = str. slice (1); // remove spaces from the string
// This sentence can also be changed to str = str. substring (1, str. length );
Str = ltrim (str); // recursive call
}
Return str;
}
// Rem
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