similar to: [LLVMdev] How to XOR return address

Hi all, I am master student in Edinburgh, UK. I am doing my MSc project with LLVM compiler and I have to modify LLVM to implement the StackGuard with a XOR random Canary. However, I am not familiar with LLVM. My problem is that I want to XOR the random canary word with the return address which are both 32 bits. I found a method called SimplifyXorInst(Value *, Value *, const TargetData

Hi all, I want to implement the Xor random canary, so I have to get the return address in the prologue and epilogue of the function. In the prologue of the function, before I insert into the canary on the stack, I can get the return address by: ConstantInt* ci = llvm::ConstantInt::get(Type::getInt32Ty(RI->getContext()), 0); Value* Args1[] = {ci}; CallInst* callInst =

Hi all, I am master student in Edinburgh, UK. I am doing my MSc project with LLVM compiler and I have to modify LLVM to implement the StackGuard with a XOR random Canary. However, I am not familiar with LLVM. My problem is that I want to XOR the random canary word with the return address which are both 32 bits. I found a method called SimplifyXorInst(Value *, Value *, const TargetData

Hi all, Here is my problem, overflow.c: int main() { return 0; } $ clang -c -fstack-protector-all overflow.c -emit-llvm overflow.bc $ llc -O0 overflow.bc The result seems like the Bug 9259 which had been fixed (r126812). But I find I still have the problem below: Both operands to a binary operator are not of the same type! %aaa = xor i8* %"Call Return Address", i32 1892499360

Hi all, I want to add some functionalities to Stack protection of llvm by modifying the file StackPrtoector.cpp under llvm/src/lib/CodeGen. However, I encounter some problems here. Here is my problem: I want to call the function Intrinsic::returnaddress with the same parameter twice in a function. However, llvm will optimize this process automatically by storing the result from the first call

Hi all, I want to add some functionalities to Stack protection of llvm by modifying the file StackPrtoector.cpp under llvm/src/lib/CodeGen. However, I encounter some problems here. Here is my problem: I want to call the function Intrinsic::returnaddress with the same parameter twice in a function. However, llvm will optimize this process automatically by storing the result from the first call

Hi, I have a dataset with a continuous response variable and, among other predictors, an ordinal variable. Here is what it could look like treatment <- factor(rep(c("AA", "AC", "AD","AE", "AB"), each = 10)) length <- c(75, 67, 70, 75, 65, 71, 67, 67, 76, 68, 57, 58, 60, 59, 62, 60, 60, 57, 59, 61, 58,

The (2.2.1) upshid-ups driver reports battery.temperature rather than ups.temperature. Here's a quick patch to have it show up in the status page... --- clients/upsstats.c.DIST 2008-03-04 09:15:40.000000000 +0000 +++ clients/upsstats.c 2008-03-04 09:16:20.000000000 +0000 @@ -787,6 +787,11 @@ return 1; } + if (!strcmp(cmd, "BATTTEMP")) { +

On 7/26/11 5:37 PM, Xueying ZHANG wrote: > Hi John, > > Thanks for your reply! I'm CC'ing this to the list in case anyone knows why you're seeing this behavior. > > Now, I know the different between llvm.returnaddress(0) and > llvm.returnaddress(1). I modify the StackPortector.cpp and I just want > to get value of the return address stored on the stack. >

Hi, Is the following function built in somewhere? concat = function(v) { res = "" for (i in 1:length(v)) res = paste(res,v[i],sep="") res } e.g. > concat(c("12","3","45")) [1] "12345" Cheers, Andy -- Andy Fugard, Postgraduate Research Student Psychology (Room F3), The University of Edinburgh, 7 George

Hi there, Am I correct to believe that tetrachoric correlation is a special case of polychoric correlation when there are only two levels to the ordered factor? Thus it should be okay to use hetcor from the polycor package to build a matrix of correlations for binary variables? If this is true, how can one estimate 95% confidence intervals for the correlations? My guess would be mat =

I'm trying something that I thought would be pretty simple, but it's proving quite frustrating... I want to display, for instance, the correlation coefficient "rho" in a graph. I can do something like: text(x, y, paste("rho =", cor)) where cor would be my previously calculated correlation coefficient, and x and y the coordinates. Obviously that displays

Dear list, is there a way to open a .zip folder so that one can extract and modify files inside and then save teh .zip folder again? thanks! Jose -- Dr. Jose I. de las Heras Email: J.delasHeras at ed.ac.uk The Wellcome Trust Centre for Cell Biology Phone: +44 (0)131 6507095 Institute for Cell & Molecular Biology Fax: +44 (0)131 6507360 Swann Building,

On Fri, Jun 23, 2017 at 11:26 AM, Chris Cooke <cc at inf.ed.ac.uk> wrote: > qemu-kvm-ev-2.6.0-28.el7.10.1 > <https://cbs.centos.org/koji/buildinfo?buildID=17495> has been tagged for > release and will soon be available on CentOS mirrors. > > > Hi Sandro, > > Thanks. That looks like a typo in the package release field? Should be > 28.el7_3.10.1, rather than

Here's a patch (against 2.2.2) which adds battery.temperature to the ietf-mib snmp driver. While looking at ietfmib.h I noticed that the value for IETF_OID_IN_LINES is actually that for upsOutputNumLines.0. Does anyone know whether that's deliberate or a typo? -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: application/x-patch

Hello I'm new to R (one week) so please excuse any obvious mistakes in my code or posting. I am attempting to fit a non linear function defining the relationship between dependent variable A and the variables PAR and T grouped by the condition Di. The following steps are taken in the Rcode below: 1) load the data (not shown) 2) define the function to be fit 3) define the starting values

Does anyone know, or know documentation that describes, how to declare multiple values in R as missing that does not involve coding them as NA? I wish to be able to treate values as missing, while still retaining codes that describe the reason for the value being missing. Thanks John MAcInnes -- Professor John MacInnes Sociology, School of Social and Political Studies, No 8 Buccleuch Place

Dear all, The background is that I'm trying to fix this bug in the geometry package: https://r-forge.r-project.org/tracker/index.php?func=detail&aid=1993&group_id=1149&atid=4552 Boiled down, the problem is that there exists at least one matrix X for which det(X) != 0 and for which solve(X) fails giving the error "system is computationally singular: reciprocal condition

Dear all, I'm attempting to use a piecewise regression to model the trajectory of reproductive traits with age in a longitudinal data set using a mixed model framework. The aim is to find three slopes and two points- the slope from low performance in early age to a point of high performance in middle age, the slope (may be 0) of the plateau from the start of high performance to the

Dear All, I am working on a dataset having the dependent variable as ordinal data(discrete data) and multiple independent variables. I need to find the likelihood for the NULL model.i.e the model with only the dependent variable and all other independent variables as zero. Kindly let me know how to find the likelihood for a NULL model in R. Is there any specific function in R that can do