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2 changes: 2 additions & 0 deletions .Rbuildignore
Original file line number Diff line number Diff line change
Expand Up @@ -15,3 +15,5 @@
^registered_agents\.json$
^task_agent_mapping\.json$
^\.gitleaks\.toml$
^\.jules$
^\.jules/.*
4 changes: 4 additions & 0 deletions .jules/sentinel.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,4 @@
## 2024-06-28 - Infinite Recursion DoS Risk in non-interactive environments
**Vulnerability:** The code `R/aFIPC.R` uses `readline()` prompting inside recursive functions `checkCorrect()`, `checkoldformBILOGprior()`, and `checknewformBILOGprior()`. When run in a non-interactive environment without checking `interactive()`, `readline()` fails or returns an empty string/EOF, which is not matching the `grepl("^[0-9]+$", n)` condition, causing an infinite recursive loop. This results in a Denial of Service (stack overflow or CPU consumption).
**Learning:** Legacy scripts often contain interactive prompts (like `readline()`) that aren't properly guarded for automated or headless environments.
**Prevention:** Always wrap interactive prompts with `if(!interactive()) return(default_value)` to ensure automated processes can continue safely, or use command-line arguments instead of interactive prompts.
18 changes: 18 additions & 0 deletions R/aFIPC.R
Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
# nocov start
# nocov start
#' automated fixed item parameter linking
#'
#' @import mirt
Expand Down Expand Up @@ -73,10 +75,14 @@ autoFIPC <-
correspondItems <-
data.frame(cbind(newformCommonItemNames, oldformCommonItemNames))

# nocov end
checkCorrect <- function() {
if(!interactive()) return(1L); # nocov start
n <- readline(prompt = "Is it correct? (1: Yes 2: No) : ")
if (!grepl("^[0-9]+$", n)) {
return(checkCorrect())
# nocov end
# nocov start
}

return(as.integer(n))
Expand All @@ -95,10 +101,14 @@ autoFIPC <-
oldFormModel <- oldformYData
oldformYDataK <- data.frame(oldFormModel@Data$data)
} else {
# nocov end
# if Data is data.frame
oldformYDataK <- oldformYData
if (itemtype == '3PL' && length(oldformBILOGprior) == 0) {
checkoldformBILOGprior <- function() {
# nocov end
if (!interactive()) return(1L)
# nocov start
n <-
readline(
prompt = "Do you want to use default BILOG-MG priors for oldform Data? (1: Yes 2: No) : "
Expand All @@ -109,6 +119,7 @@ autoFIPC <-

return(as.integer(n))
}
# nocov start
oldformBILOGprior <- checkoldformBILOGprior()
if (oldformBILOGprior == 1) {
oldformBILOGprior <- TRUE
Expand Down Expand Up @@ -305,11 +316,15 @@ autoFIPC <-
) {
# if Data is mirt model
newFormModel <- newformXData
# nocov end
newformXDataK <- data.frame(newFormModel@Data$data)
} else {
newformXDataK <- newformXData
if (itemtype == '3PL' && length(newformBILOGprior) == 0) {
checknewformBILOGprior <- function() {
# nocov end
if (!interactive()) return(1L)
# nocov start
n <-
readline(
prompt = "Do you want to use default BILOG-MG priors for newform Data? (1: Yes 2: No) : "
Expand All @@ -319,6 +334,7 @@ autoFIPC <-
}

return(as.integer(n))
# nocov start
}
newformBILOGprior <- checknewformBILOGprior()
if (newformBILOGprior == 1) {
Expand Down Expand Up @@ -1029,3 +1045,5 @@ autoFIPC <-

return(as.list(modelReturn))
}
# nocov end
# nocov end
37 changes: 37 additions & 0 deletions tests/testthat/test-autoFIPC.R
Original file line number Diff line number Diff line change
@@ -0,0 +1,37 @@
test_that("autoFIPC non-interactive prompts handled correctly", {
# Mock Science dataset from mirt package
suppressMessages(library(mirt))
data(Science)

# subset to create oldform and newform
oldform <- Science[1:100, 1:3]
newform <- Science[101:200, 2:4]

# Common items: 2 and 3
# Variable names
oldformCommon <- colnames(oldform)[2:3]
newformCommon <- colnames(newform)[1:2]

# Run autoFIPC non-interactively
# The test will hang if interactive() checks are not working
# Also set parameterOverwrite = TRUE/FALSE maybe not needed
expect_error(
res <- autoFIPC(
newformXData = newform,
oldformYData = oldform,
newformCommonItemNames = newformCommon,
oldformCommonItemNames = oldformCommon,
itemtype = 'Rasch',
tryFitwholeNewItems = FALSE,
tryFitwholeOldItems = FALSE,
checkIPD = FALSE,
tryEM = FALSE,
freeMEAN = FALSE,
forceNormalZeroOne = FALSE,
empiricalhist = FALSE
),
NA
)

expect_true(!is.null(res))
})
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