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CVE-2025-55131: Vulnerability in nodejs node

0
High
VulnerabilityCVE-2025-55131cvecve-2025-55131
Published: Tue Jan 20 2026 (01/20/2026, 20:41:55 UTC)
Source: CVE Database V5
Vendor/Project: nodejs
Product: node

Description

A flaw in Node.js's buffer allocation logic can expose uninitialized memory when allocations are interrupted, when using the `vm` module with the timeout option. Under specific timing conditions, buffers allocated with `Buffer.alloc` and other `TypedArray` instances like `Uint8Array` may contain leftover data from previous operations, allowing in-process secrets like tokens or passwords to leak or causing data corruption. While exploitation typically requires precise timing or in-process code execution, it can become remotely exploitable when untrusted input influences workload and timeouts, leading to potential confidentiality and integrity impact.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 02/26/2026, 23:14:05 UTC

Technical Analysis

CVE-2025-55131 is a vulnerability in Node.js's buffer allocation mechanism, specifically when using the vm module with the timeout option enabled. The flaw arises because under certain timing conditions, buffer allocations via Buffer.alloc and other TypedArray instances like Uint8Array may return memory that contains leftover data from previous operations rather than zeroed memory. This uninitialized memory exposure can leak sensitive in-process secrets such as authentication tokens, passwords, or other confidential data. The root cause is an interruption in the allocation process that prevents proper initialization of the buffer. Exploitation typically requires precise timing or the ability to execute code within the same process to trigger the vulnerable allocation pattern. However, if untrusted input can influence the workload and the timeout parameters, remote exploitation becomes feasible, increasing the attack surface. The vulnerability affects a broad range of Node.js versions from 4.0 through 25.2.1, indicating a long-standing issue. The CVSS v3.0 score is 7.1, reflecting high severity due to the potential for confidentiality and integrity compromise with low availability impact. No public exploits have been reported yet, but the risk remains significant given Node.js's widespread use in web applications and services. The vulnerability demands careful attention to buffer initialization and memory management in Node.js runtime environments.

Potential Impact

The vulnerability can lead to leakage of sensitive information such as tokens, passwords, or other secrets stored in memory, compromising confidentiality. Data corruption caused by uninitialized buffers can also affect data integrity within applications. For organizations, this could mean unauthorized access to protected resources, session hijacking, or exposure of critical credentials. The impact is particularly severe in multi-tenant or shared environments where memory reuse is common. Although availability impact is low, the breach of confidentiality and integrity can lead to significant operational and reputational damage. Given Node.js's extensive use in web servers, APIs, and cloud-native applications, the vulnerability poses a global risk to enterprises relying on these technologies. Attackers with the ability to influence workload or execute code in-process could exploit this flaw remotely, increasing the threat scope. The absence of known exploits in the wild currently reduces immediate risk but does not eliminate the potential for future attacks.

Mitigation Recommendations

1. Upgrade Node.js to a patched version as soon as it becomes available from the official Node.js maintainers to ensure the buffer allocation flaw is fixed. 2. Until patches are applied, avoid using the vm module with the timeout option in environments processing untrusted input. 3. Implement strict input validation and sanitization to prevent untrusted input from influencing workload and timeout parameters. 4. Employ runtime application self-protection (RASP) or memory safety tools that can detect anomalous buffer usage or memory leaks. 5. Conduct thorough code reviews focusing on buffer allocation and memory handling patterns, especially in modules that use vm or TypedArray instances. 6. Use containerization or sandboxing to isolate Node.js processes and limit the impact of potential memory leaks. 7. Monitor application logs and memory usage for unusual patterns that could indicate exploitation attempts. 8. Educate developers about secure memory management practices in Node.js and the risks of uninitialized memory exposure. 9. Consider deploying Web Application Firewalls (WAFs) with rules to detect and block suspicious input patterns that might trigger the vulnerability. 10. Maintain an incident response plan tailored to memory disclosure vulnerabilities to quickly contain and remediate any exploitation.

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Technical Details

Data Version
5.2
Assigner Short Name
hackerone
Date Reserved
2025-08-07T15:00:05.576Z
Cvss Version
3.0
State
PUBLISHED

Threat ID: 696feab04623b1157c4e3b6f

Added to database: 1/20/2026, 8:50:56 PM

Last enriched: 2/26/2026, 11:14:05 PM

Last updated: 3/21/2026, 8:30:35 PM

Views: 137

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