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New Vulnerability in R’s Deserialization Discovered
* Table of contents
* What is R?
* Impact
* R Supply Chain Attacks
* R Packages
* Recommendations
THE AUTHOR
ADI BLEIH
TABLE OF CONTENTS
* What is R?
* Impact
* R Supply Chain Attacks
* R Packages
* Recommendations
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NEW VULNERABILITY IN R’S DESERIALIZATION DISCOVERED
May 2, 2024
Share: Share on Twitter Share on LinkedIn
Security researchers have identified a vulnerability, CVE-2024-27322, in the R
programming language that permits arbitrary code execution by deserializing
untrusted data. This flaw can be exploited when loading RDS (R Data
Serialization) files or packages, which are commonly shared among developers and
data scientists. An attacker can craft malicious RDS files or packages
containing embedded arbitrary R code, triggering execution on the victim’s
device upon interaction.
WHAT IS R?
R is an open-source language and software environment for statistical computing,
data visualization, and machine learning. With a robust core language and
extensive library support, R is widely adopted, often as the primary language
for statistics students. Due to its prowess in analyzing large datasets, its
usage extends across industries like healthcare, finance, and government.
Additionally, R has gained traction in AI/ML for handling complex data.
The Comprehensive R Archive Network (CRAN) repository hosts over 20,000
packages, with R-forge boasting over 2,000 projects and 15,000 users.
IMPACT
The vulnerability arises from an error in the readRDS function, which is
responsible for loading RDS and RDX files that transfer serialized R objects for
processing. Serialization facilitates state capture and data exchange. RDS
stores the state for a single object, while RDX with RDB enables data transfer
for multiple objects. The issue lies in the RDS format’s support for PROMSXP
object code, where uncomputed expressions are evaluated during deserialization
using “eval,” potentially enabling arbitrary code execution by substituting
expressions in RDS or RDX files.
R SUPPLY CHAIN ATTACKS
SHARING OBJECTS
Upon investigating GitHub, our team uncovered that readRDS, a potential vector
for exploiting this vulnerability, is referenced in over 135,000 R source files.
Upon reviewing repositories, we discovered that a substantial portion of these
usages involved untrusted, user-provided data, which could lead to a complete
compromise of the system running the program.
Notably, source files containing potentially vulnerable code were found in
projects maintained by R Studio, Facebook, Google, Microsoft, AWS, and other
major software vendors.
R PACKAGES
CVE-2024-27322
R packages facilitate sharing of compiled R code and data for statistical tasks.
As of the time of writing, the CRAN package repository boasts 20,681 available
packages. Anybody can upload packages to this repository, provided they meet
certain criteria, such as containing specific files (e.g., a description) and
passing automated checks (which do not currently assess this vulnerability).
R packages utilize the RDS format to save and load data. During compilation of a
package, two files are generated:
* .rdb file: Contains serialized objects as binary blobs of data.
* .rdx file: Includes metadata for each serialized object within the .rdb file,
including their offsets
When a package is loaded, metadata stored in RDS format within the .rdx file is
utilized to locate objects within the .rdb file. These objects are then
decompressed and deserialized, effectively loading them as RDS files.
Consequently, R packages are susceptible to deserialization vulnerabilities and
can be exploited in supply chain attacks via package repositories. An attacker
can take over an R package by simply replacing the .rdx file with a maliciously
crafted version. When the package is loaded, the code will execute
automatically.
Furthermore, if one of the core system packages (e.g., compiler) has been
tampered with, the malicious code will execute upon R initialization. One
particularly perilous aspect of this vulnerability is that instead of merely
replacing the .rdx file, the exploit can be injected into any offset within the
RDB file, rendering detection extremely challenging.
RECOMMENDATIONS
CERT Coordination Center (CERT/CC) has issued an advisory for CVE-2024-27322,
cautioning against arbitrary code execution via malicious RDS or RDX files.
* Update R to version 4.4.0 or later promptly.
* Until then, avoid interaction with untrusted RDS files or packages to
mitigate risks.
* There is currently no public proof-of-concept or exploitation evidence
available.
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