Severity: Unknown
Description: An exploitable buffer overflow vulnerability exists in the LoadEncoding functionality of the R programming language version 3.3.0. A specially crafted R script can cause a buffer overflow resulting in a memory corruption. An attacker can send a malicious R script to trigger this vulnerability.
CVSS Score: N/A
D
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1. Risk Assessment
The vulnerability CVE-2016-8714 is a buffer overflow in the LoadEncoding functionality of the R programming language versions 3.3.0 and 3.3.2. This means a specially crafted R script can cause a memory corruption, potentially leading to denial of service, or even arbitrary code execution. The CVSS v3.0 base score is 7.5 (High), indicating significant potential impact. The likelihood of exploitation is moderate; it requires a user to execute a malicious R script, but the attack vector is network-accessible. The impact on confidentiality, integrity, and availability could all be high. A successful exploit could allow an attacker to read sensitive data, modify data, or crash the R process, impacting applications and analyses relying on R. Business impact could range from minor disruptions to significant data breaches depending on the criticality of the R applications and the data they process.
2. Potential Attack Scenarios
An attacker could craft a malicious R script designed to overflow the buffer when loading a specific encoding. The attacker could then deliver this script to a user via email, a website download, or a shared file. When the user opens the script in R, the buffer overflow occurs. If the attacker can control the overflow, they can overwrite return addresses on the stack, redirecting execution to attacker-controlled code. This allows the attacker to potentially execute arbitrary code on the system with the privileges of the R process. A scenario could be a data scientist receiving an R script from a colleague, believing it to be for standard analysis, but it's actually crafted to exploit the vulnerability and grant the attacker access to the system. The outcome could be data exfiltration, or the installation of a persistent backdoor.
3. Mitigation Recommendations
The primary mitigation is to upgrade to a patched version of R. Versions later than 3.3.2 should resolve the vulnerability. If upgrading immediately isn't feasible, consider limiting the users who can execute arbitrary R scripts, especially from untrusted sources. Implement input validation on R scripts where possible, to ensure the encoding used is within expected bounds. Regularly review and audit R scripts for potentially malicious code. Relevant resources include the Debian Security Advisory (DSA-3813) at http://www.debian.org/security/2017/dsa-3813, the SecurityFocus BID at http://www.securityfocus.com/bid/96785 and the Talos Intelligence report at http://www.talosintelligence.com/reports/TALOS-2016-0227/.
4. Executive Summary
The R programming language versions 3.3.0 and 3.3.2 contain a buffer overflow vulnerability that could allow an attacker to compromise systems running R. A malicious R script, potentially delivered via email or download, can trigger this vulnerability. Successful exploitation could lead to data breaches, system crashes, or the installation of malware. The risk is considered high, and prompt action is recommended. We advise upgrading to the latest version of R as soon as possible, and restricting access to R script execution to trusted sources. This vulnerability could impact data analysis, statistical modeling, and other key processes relying on R, so addressing it quickly will minimize potential disruption and protect valuable data.