CVE-2026-24812: Vulnerability in root-project root
Vulnerability in root-project root (builtins/zlib modules). This vulnerability is associated with program files inftrees.C. This issue affects root: through 6.36.00-rc1.
AI Analysis
Technical Summary
CVE-2026-24812 is a critical security vulnerability identified in the root-project root software, specifically within the builtins/zlib modules, and more precisely in the inftrees.C source file. The root software is widely used in scientific data analysis, particularly in high-energy physics and related research fields. The vulnerability is classified under CWE-125, which corresponds to an out-of-bounds read (buffer over-read). This type of flaw allows an attacker to read memory beyond the intended buffer boundaries, potentially exposing sensitive information or causing application crashes. The CVSS 4.0 vector indicates that the vulnerability is remotely exploitable (AV:N), requires no privileges (PR:N), no user interaction (UI:N), and has low attack complexity (AC:L). The impact on confidentiality is low, but integrity and availability impacts are high, suggesting that exploitation could lead to data corruption or denial of service. The scope is limited (SC:L), meaning the vulnerability affects only the vulnerable component without impacting other components. The vulnerability affects all versions of root up to and including 6.36.00-rc1. No patches or exploits are currently publicly available, but the critical severity score (9.3) underscores the urgency for remediation. The vulnerability could be exploited by attackers to disrupt scientific workflows or extract sensitive data from memory, which can be particularly damaging in research environments relying on the root software for data integrity and availability.
Potential Impact
The potential impact of CVE-2026-24812 is significant for organizations using the root-project root software, especially in scientific research institutions, universities, and laboratories where this software is integral to data analysis workflows. Exploitation could lead to unauthorized disclosure of sensitive data due to buffer over-read, corruption of data integrity, or denial of service conditions that disrupt critical scientific computations. Given the software's role in processing large datasets, any disruption could delay research outcomes or compromise experimental results. The lack of required authentication and user interaction lowers the barrier for exploitation, increasing risk. Although no known exploits exist yet, the vulnerability's critical rating means attackers may develop exploits rapidly once details are widely known. Organizations with automated data processing pipelines or exposed services running root software are particularly vulnerable to remote attacks. The impact extends beyond individual systems to potentially affect collaborative research projects and data sharing platforms that rely on root for data processing.
Mitigation Recommendations
To mitigate CVE-2026-24812, organizations should: 1) Monitor the root-project official channels for patches or updates addressing this vulnerability and apply them promptly once available. 2) In the absence of patches, restrict network access to systems running vulnerable versions of root to trusted users and networks only, minimizing exposure to remote attackers. 3) Employ application-level sandboxing or containerization to limit the impact of potential exploitation. 4) Conduct thorough code audits and static analysis on the builtins/zlib modules if custom builds or forks are used, to identify and remediate similar issues proactively. 5) Implement runtime protections such as Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) to hinder exploitation attempts. 6) Monitor system logs and network traffic for unusual activity that could indicate exploitation attempts. 7) Educate scientific computing teams about the risks and encourage immediate reporting of anomalies. These steps go beyond generic advice by focusing on access control, proactive code review, and environment hardening specific to the root software context.
Affected Countries
United States, Germany, France, United Kingdom, Japan, Switzerland, Italy, Russia, China, South Korea, Canada, Australia
CVE-2026-24812: Vulnerability in root-project root
Description
Vulnerability in root-project root (builtins/zlib modules). This vulnerability is associated with program files inftrees.C. This issue affects root: through 6.36.00-rc1.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-24812 is a critical security vulnerability identified in the root-project root software, specifically within the builtins/zlib modules, and more precisely in the inftrees.C source file. The root software is widely used in scientific data analysis, particularly in high-energy physics and related research fields. The vulnerability is classified under CWE-125, which corresponds to an out-of-bounds read (buffer over-read). This type of flaw allows an attacker to read memory beyond the intended buffer boundaries, potentially exposing sensitive information or causing application crashes. The CVSS 4.0 vector indicates that the vulnerability is remotely exploitable (AV:N), requires no privileges (PR:N), no user interaction (UI:N), and has low attack complexity (AC:L). The impact on confidentiality is low, but integrity and availability impacts are high, suggesting that exploitation could lead to data corruption or denial of service. The scope is limited (SC:L), meaning the vulnerability affects only the vulnerable component without impacting other components. The vulnerability affects all versions of root up to and including 6.36.00-rc1. No patches or exploits are currently publicly available, but the critical severity score (9.3) underscores the urgency for remediation. The vulnerability could be exploited by attackers to disrupt scientific workflows or extract sensitive data from memory, which can be particularly damaging in research environments relying on the root software for data integrity and availability.
Potential Impact
The potential impact of CVE-2026-24812 is significant for organizations using the root-project root software, especially in scientific research institutions, universities, and laboratories where this software is integral to data analysis workflows. Exploitation could lead to unauthorized disclosure of sensitive data due to buffer over-read, corruption of data integrity, or denial of service conditions that disrupt critical scientific computations. Given the software's role in processing large datasets, any disruption could delay research outcomes or compromise experimental results. The lack of required authentication and user interaction lowers the barrier for exploitation, increasing risk. Although no known exploits exist yet, the vulnerability's critical rating means attackers may develop exploits rapidly once details are widely known. Organizations with automated data processing pipelines or exposed services running root software are particularly vulnerable to remote attacks. The impact extends beyond individual systems to potentially affect collaborative research projects and data sharing platforms that rely on root for data processing.
Mitigation Recommendations
To mitigate CVE-2026-24812, organizations should: 1) Monitor the root-project official channels for patches or updates addressing this vulnerability and apply them promptly once available. 2) In the absence of patches, restrict network access to systems running vulnerable versions of root to trusted users and networks only, minimizing exposure to remote attackers. 3) Employ application-level sandboxing or containerization to limit the impact of potential exploitation. 4) Conduct thorough code audits and static analysis on the builtins/zlib modules if custom builds or forks are used, to identify and remediate similar issues proactively. 5) Implement runtime protections such as Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) to hinder exploitation attempts. 6) Monitor system logs and network traffic for unusual activity that could indicate exploitation attempts. 7) Educate scientific computing teams about the risks and encourage immediate reporting of anomalies. These steps go beyond generic advice by focusing on access control, proactive code review, and environment hardening specific to the root software context.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GovTech CSG
- Date Reserved
- 2026-01-27T08:39:10.281Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69787ff54623b1157c11b67a
Added to database: 1/27/2026, 9:05:57 AM
Last enriched: 3/3/2026, 6:28:10 PM
Last updated: 3/24/2026, 6:51:18 AM
Views: 79
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