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  1. 38
      .gitignore
  2. 21
      LICENSE
  3. 3
      README.md
  4. 15
      cran-mirror-security.Rproj
  5. BIN
      data/cran-dns.rds
  6. BIN
      data/cran-mirror-other-things.rds
  7. BIN
      data/cran-recog.rds
  8. BIN
      data/mir-dat.rds
  9. 1720
      data/mirrors.html
  10. 200
      orly.R

38
.gitignore

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# ---> R
# History files
.Rhistory
.Rapp.history
# Session Data files
.RData
# Example code in package build process
*-Ex.R
# Output files from R CMD build
/*.tar.gz
# Output files from R CMD check
/*.Rcheck/
# RStudio files
.Rproj.user/
# produced vignettes
vignettes/*.html
vignettes/*.pdf
# OAuth2 token, see https://github.com/hadley/httr/releases/tag/v0.3
.httr-oauth
# knitr and R markdown default cache directories
/*_cache/
/cache/
# Temporary files created by R markdown
*.utf8.md
*.knit.md
# Shiny token, see https://shiny.rstudio.com/articles/shinyapps.html
rsconnect/

21
LICENSE

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MIT License
Copyright (c) <year> <copyright holders>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished
to do so, subject to the following conditions:
The above copyright notice and this permission notice (including the next
paragraph) shall be included in all copies or substantial portions of the
Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS
OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF
OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

3
README.md

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# cran-mirror-security
Exploring CRAN claims of the "security" of CRAN mirrors

15
cran-mirror-security.Rproj

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Version: 1.0
RestoreWorkspace: Default
SaveWorkspace: Default
AlwaysSaveHistory: Default
EnableCodeIndexing: Yes
UseSpacesForTab: Yes
NumSpacesForTab: 2
Encoding: UTF-8
RnwWeave: Sweave
LaTeX: pdfLaTeX
StripTrailingWhitespace: Yes

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library(xml2)
library(httr)
library(curl)
library(stringi)
library(urltools)
library(ipinfo)
library(openssl)
library(furrr)
library(vershist)
library(ggalt)
library(ggbeeswarm)
library(hrbrthemes)
library(tidyverse)
mdoc <- xml2::read_xml("~/data/mirrors.html", as_html = TRUE)
xml_find_all(mdoc, ".//td/a[contains(@href, 'https')]") %>%
xml_attr("href") %>%
unique() -> ssl_mirrors
ssl_mirrors
plan(multiprocess)
dl_cert <- possibly(openssl::download_ssl_cert, NULL)
HEAD_ <- possibly(httr::HEAD, NULL)
dig <- possibly(curl::nslookup, NULL)
query_ip_ <- possibly(ipinfo::query_ip, NULL)
ssl_mirrors %>%
future_map(~{
host <- domain(.x)
ip <- dig(host, TRUE)
ip_info <- if (length(ip)) query_ip_(ip) else NULL
list(
host = host,
cert = dl_cert(host),
head = HEAD_(.x),
ip = ip,
ip_info = ip_info
)
}) -> mir_dat
saveRDS(mir_dat, "~/data/mir-dat.rds")
str(mir_dat, 3)
maps::map("world", ".", exact = FALSE, plot = FALSE, fill = TRUE) %>%
fortify() %>%
filter(region != "Antarctica") -> world
map_chr(mir_dat, ~.x$ip_info$loc) %>%
stri_split_fixed(pattern = ",", n = 2, simplify = TRUE) %>%
as_tibble() %>%
mutate_all(list(as.numeric)) -> wheres_cran
ggplot() +
ggalt::geom_cartogram(
data = world, map = world, aes(long, lat, map_id=region),
color = ft_cols$gray, size = 0.125
) +
geom_point(data = wheres_cran, aes(V2, V1), color = "white") +
ggalt::coord_proj("+proj=wintri") +
labs(
x = NULL, y = NULL
) +
theme_ft_rc(grid="") +
theme(axis.text = element_blank())
map_df(mir_dat, ~{
tibble(
host = .x$host,
s_issuer = .x$cert[[1]]$issuer %||% NA_character_,
i_issuer = .x$cert[[2]]$issuer %||% NA_character_,
algo = .x$cert[[1]]$algorithm %||% NA_character_,
names = .x$cert[[1]]$alt_names %||% NA_character_,
nm_ct = length(.x$cert[[1]]$alt_names),
key_size = .x$cert[[1]]$pubkey$size %||% NA_integer_
)
}) -> certs
count(certs, names, sort=TRUE)
distinct(certs, host, algo, key_size) %>%
count(algo, key_size, sort=TRUE)
distinct(certs, host, i_issuer) %>%
count(i_issuer, sort = TRUE) %>%
print(n = 28)
count(certs, host, sort=TRUE) %>%
ggplot() +
geom_quasirandom(aes("", n))
filter(certs, host == "cran.cnr.berkeley.edu") %>%
select(names)
filter(certs, host == "cran.rapporter.net") %>%
select(names)
filter(certs, host == "cran-r.c3sl.ufpr.br") %>%
select(names)
filter(certs, host == "fourdots.com") %>%
select(names)
map(mir_dat, ~.x$head$headers) %>%
compact() %>%
map_df(~{
flatten_df(.x) %>%
gather(name, value)
}, .id = "site_num") -> hdrs
count(hdrs, name, sort=TRUE) %>%
print(n=31)
filter(hdrs, name == "server") %>%
separate(value, c("kind", "version"), sep="/", fill="right", extra="merge") -> svr
count(svr, kind, sort=TRUE)
apache_httpd_version_history() %>%
arrange(rls_date) %>%
mutate(
vers = factor(as.character(vers), levels = as.character(vers))
) -> apa_all
filter(svr, kind == "Apache") %>%
filter(!is.na(version)) %>%
mutate(version = stri_replace_all_regex(version, " .*$", "")) %>%
count(version) %>%
separate(version, c("maj", "min", "pat"), sep="\\.", convert = TRUE, fill = "right") %>%
mutate(pat = ifelse(is.na(pat), 1, pat)) %>%
mutate(v = sprintf("%s.%s.%s", maj, min, pat)) %>%
mutate(v = factor(v, levels = apa_all$vers)) %>%
arrange(v) -> apa_vers
filter(apa_all, vers %in% apa_vers$v) %>%
arrange(rls_date) %>%
group_by(rls_year) %>%
slice(1) %>%
ungroup() %>%
arrange(rls_date) -> apa_yrs
ggplot() +
geom_blank(
data = apa_vers, aes(v, n)
) +
geom_segment(
data = apa_yrs, aes(vers, 0, xend=vers, yend=Inf),
linetype = "dotted", size = 0.25, color = "white"
) +
geom_segment(
data = apa_vers, aes(v, n, xend=v, yend=0),
color = ft_cols$gray, size = 8
) +
geom_label(
data = apa_yrs, aes(vers, Inf, label = rls_year),
family = font_rc, color = "white", fill = "#262a31", size = 4,
vjust = 1, hjust = 0, nudge_x = 0.01, label.size = 0
) +
scale_y_comma(limits = c(0, 15)) +
labs(
x = "Apache Version #", y = "# Servers"
) +
theme_ft_rc(grid="Y") +
theme(axis.text.x = element_text(family = "mono", color = "white"))
cran_mirror_other_things <- readRDS("~/data/cran-mirror-other-things.rds")
distinct(cran_mirror_other_things, ip, port) %>%
count(ip, sort = TRUE)
distinct(cran_mirror_other_things, ip, port) %>%
count(port, sort=TRUE)
distinct(cran_mirror_other_things, ip, port) %>%
filter(ip == "104.25.94.23")
distinct(cran_mirror_other_things, ip, port) %>%
filter(ip == "143.107.10.17")
distinct(cran_mirror_other_things, ip, port) %>%
filter(ip == "137.208.57.37")
cran_recog <- readRDS("~/data/cran-recog.rds")
count(cran_recog, ip, sort=TRUE)
distinct(cran_recog, ip, cpe) %>%
filter(ip == "192.75.96.254")
distinct(cran_recog, ip, cpe) %>%
count(ip, sort=TRUE)
cran_dns <- readRDS("~/data/cran-dns.rds")
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