h0000: 00404DD4 lParam = word ptr 14 h// Four parameters and two local variables0000: 00404DD40000: 00404DD4 push ebp0000: 00404DD5 mov ebp, esp// Standard Delphi call framework0000: 00404DD7 add esp, 0FFFFFFB8h// Sub esp, 48 h. Note that the above Paint = PAINTSTRUCT ptr-48 h// It is quite interesting.0000: 00404DDA push ebx0000: 00404DDB xor ebx, ebx0000: 00404DDD mov eax, [ebp + Msg]0000: 00404DE0 cmp eax, 111 h; WM_COMMAND0000: 00404DE5 jg short loc_404E0B0000: 00404DE7 jz loc_404EF8// I ha
assigned to EBP, the value of the EBP register used to save the ESP value in this "Top program" will never change. Although it may change temporarily after entering the sub-call (used for the stack balance of the sub-call), after exiting, the original EBP value will be restored according to * Pop EBP.Taking this sentence as a breakthrough means that as long as we can break through the "top-Layer Program", we can observe the ESP value of EBP when the shell is between
Assembly tip 1
Tip 1: Get the current instruction address and add the instruction
{_ ASM{CallGet_next_addr; get the next JMP eax address and save it in eax.JMPEax; local jump, endless loop, waiting for correction to 0x90, 0x90 NOPMoVEax, 0x1JMPQuit
_ Emit0x12; useless data flower command_ Emit0x34_ Emit0xff_ Emit0x4f_ Emit0xd3_ Emit0xe3_ Emit0x67_ Emit0x12_ Emit0x89_ Emit0x00
Get_next_addr:PopEaxPushEaxRETQuit:JMP gothis;}}Gothis:Printf ("Hello world!
types of transfer can be achieved using JMP or call commands:
(1) The target operand contains the segment Selection Sub of the target code segment.
(2) The target operand points to a call gate descriptor that contains the child selected by the target code segment.
(3) The target operand points to a TSS that contains the child of the target code segment.
(4) The target operand points to a task door, which points to a TSS containing the child of the ta
. Fortunately, the ShellCode in this area has been written before, so it is ready for use. Now the rest is to find the overflow point and then modify it. For convenience, the following work is for Windows2000, and the current system partition is Fat32.Determine overflow points The overflow is of course found from the ready-made code. Open the source code of the DOS window again and find two points worth attention, one of which is shown in Area 3:
Javascript: if (this. width> 500) this. width =
subroutine from JMP to call. For example: 00401029. E8 da240a00 call 004a3508 0040102e. 5A pop edX After 00401029 is executed, the program will press 0040102e into the stack, and then JMP to 004a3508 address! 2. Ret The corresponding call is ret. We can understand RET as follows: 1. Stack the address pointed to in the current ESP; 2. Send JMP to this a
There are many inline API hook methods. A common method does not require Embedded Assembly statements. The principle is simple and easy to understand, the 64-bit Microsoft operating system does not allow the embedded compilation of such unsolvable things to be awesome (the message provided by the great god of Lenin, I did not try it myself ). The principle of this method is briefly described below.
First, let's talk about the principle of inline hook. There are a lot of details. I just want to m
Grub_boot_machine_drive_check macro is defined as 0x66, so it means that the next instruction from 0x7c00 to JMP 3f is altogether 102 bytes.JMP 3f has a total of two bytes and may be overwritten with two NOP instructions when GRUB is installed in the first sector, so check this below.The DL registers are set by the BIOS as the boot device number, typically the 0x80~0xff,0x80 number corresponding to the first hard drive. If the
appears in both A and B in the array C1.
Here's the full-text code
DATAS SEGMENT num DW 0 y DW Ten flag DW 0 a DW 0 B DW 2 d DW 1 e DW 0 F DW 0 Both DW 2 flag2 DW 0 H1 DB "Please input a number:", ' $ ' H2 db 0AH,0DH, "Your input is inlow!", ' $ ' H3 DB 0AH,0DH, "the input must be even or greater than 6", ' $ ' DATAS ENDS STACKS SEGMENT DW-dup (0) STACKS ENDS CODES SEGMENT assume Cs:codes,ds:datas,ss:stacks main proc far push DS mov ax,0 push ax mov ax,datas mov Ds,ax Call input Call Chec
, naming schemes that are highly abbreviated are common in mathematical programming, but they make it more difficult to understand and prove whether a mathematical routine is step-by-step.
Perfection is not a goal
The goal of this coding exercise is not to develop a highly optimized and rigorous mathematical engine for PHP. In the early stages, we should emphasize the importance of analyzing and testing the implementation of learning and solve this problem.
Instance variables
When modeling a
(), Coef ()
Lists the parameters (intercept items and slopes) of the fitted model
Confint ()
Give the confidence interval of the model parameter (default is 95%)
Residuals ()
Lists the residuals value of the fitted model
Anova ()
Variance analysis table for two fitted models
Plot ()
Generate a diagnostic diagram of the evaluation F
nonlinear model estimation parameters is similar to the linear model, even if the residual squared and =min parameters are estimated, just at this time the model regression line is the curve.To build a segmented regression model:Attention:Regression results: The standard error of parameter estimation is approximate standard error, so the corresponding confidence interval is for reference only, and all output results do not give the test result of the parameter.In the results of
rigorous mathematical engine for PHP. In the early stages, we should emphasize the importance of analyzing and testing the implementation of learning and solve this problem.
Instance variables
When modeling a statistical test or process, you need to specify which instance variables are declared.
The selection of instance variables can be determined by the intermediate value and the total value generated by the analysis process. Each median value and aggregate value can have a corresponding i
, the exponential would behave almost linearly and the higher-dimensional projection would start to lose its Non-linear power. In the other hand, if underestimated, the function would lack regularization and the decision boundary would be highly sensi tive to noise in training data.4. Exponential KernelThe exponential kernel is closely related to the Gaussian kernel and with the square of the norm left out. It is also a radial basis function kernel.5. Laplacian KernelThe Laplace Kernel is comple
With the use of SPSS children's shoes are known, we commonly used variance analysis (ANOVA) in the general linear model (generic Linear models, called GLM) under the menu. And who is that GLM? Let's open the Magnum wiki and type the general Linear Model ... What I saw was a fitting Plot with no vainly disobey:and the legendary multivariate (linear) regression formula: $Y _{i}=\beta_{0} + \beta_{i1}x_{i1} + \beta_{2}x_{i2} + ... + \beta_{p}x_{ip} + \ep
for PHP. In the early stages, emphasis should be placed on learning to achieve significant analytical testing, as well as addressing the challenges in this area.
Instance variables
When modeling a statistical test or procedure, you need to indicate which instance variables to declare.
The selection of an instance variable can be determined by stating the intermediate value and the total value generated by the analysis process. Each intermediate value and summary value can have a correspondin
In terms of form, variance analysis is to compare the equality of the average of multiple populations, but in essence it is the relationship between variables. Variance analysis is one of the main methods to study the relationship between one (or more) types of variables and a numerical dependent variable. Introduction to 1 Variance analysis
With the increase in the number of individual significant tests, the likelihood of the difference may also increase (not the mean is really different). and
-Step Line connection
Symbol (abbreviated s)--graphics for individual scatter points:
O Big Circle
S generous block
T Big triangle Type
O Small Circle
D Small Diamond
P Small Plus
. Little Bit
Gra y x, Xlab Ylab C (L) s (d)
Box diagram: Gra y x, oneway/twoway box
26, single sample mean T test: ttest x=14.02 (total mean number μ)
Ttesti n Mean sdμ
Paired T-Test: TTest x1==x2
T-test of two-sample mean number: TTest x1==x2,unpaired
TTest x, by (group)
27, Variance Analysis:
Fanchazzi Test: Sdtest
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