Redis Vulnerability in RESTORE Command Could Lead to Remote Code Execution

High-Severity Redis Flaw (CVE-2026-25243) Allows for Potential RCE

HIGH
May 6, 2026
4m read
VulnerabilityPatch Management

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Products & Tech

CVE Identifiers

CVE-2026-25243
HIGH
CVSS:7.7

Full Report

Executive Summary

A high-severity vulnerability, CVE-2026-25243, has been patched in Redis, a widely used open-source, in-memory data store. The flaw is a heap-based buffer overflow (CWE-122) in the RESTORE command. It stems from improper validation of user-supplied serialized data. An authenticated attacker who has permissions to execute the RESTORE command can exploit this vulnerability by sending a specially crafted payload. This can cause the Redis server to crash (denial-of-service) or, in a more severe scenario, could be leveraged for remote code execution (RCE). The vulnerability has a CVSS 4.0 score of 7.7 (High) and affects all Redis versions up to 8.6.3. Administrators are urged to upgrade to the patched version or apply the recommended ACL-based workaround.


Vulnerability Details

The vulnerability exists specifically within the logic of the Redis RESTORE command. This command is used to create a key in the database using a serialized value, typically one obtained via the DUMP command. The flaw lies in the fact that the RESTORE command does not sufficiently validate the structure of the serialized data it receives.

An authenticated attacker can craft a malformed serialized value and pass it to the RESTORE command. When the Redis server attempts to process this invalid data, it leads to a heap-based buffer overflow. This memory corruption can cause the redis-server process to terminate unexpectedly, resulting in a denial-of-service.

More critically, as with many buffer overflow vulnerabilities, there is a potential for attackers to gain control over the instruction pointer and achieve remote code execution. This would allow them to run arbitrary commands on the server with the permissions of the redis-server process.

Affected Systems

  • Product: Redis Server (redis-server)
  • Vulnerable Versions: All versions up to and including 8.6.2.
  • Patched Version: 8.6.3

Exploitation Status

There is no public information about active exploitation of this vulnerability in the wild. However, the public disclosure of the flaw and its details increases the risk of exploitation by threat actors. The attack requires an attacker to be authenticated and have the necessary permissions to execute the RESTORE command. This makes it less likely to be exploited by unauthenticated external attackers, but it poses a significant risk in scenarios where an attacker has gained a low-privileged foothold within the network or if a Redis instance is improperly configured to allow broad command access.

Impact Assessment

  • Denial of Service: The most likely outcome of exploitation is a server crash, leading to a DoS condition. For applications that rely on Redis for caching, session management, or as a primary database, this can cause significant service disruption.
  • Remote Code Execution: If an attacker successfully achieves RCE, they could gain full control of the Redis server. This could lead to data theft, data modification, or using the compromised server as a pivot point for further attacks into the network. The impact is particularly high if Redis is storing sensitive information.

Cyber Observables — Hunting Hints

The following patterns may help identify vulnerable systems or exploitation attempts:

Type
log_source
Value
Redis log file
Description
Monitor Redis logs for unexpected server shutdowns or errors related to the RESTORE command.
Type
command_line_pattern
Value
RESTORE
Description
Monitor Redis command logs (if enabled) for unusual or malformed RESTORE commands, especially from untrusted clients.
Type
process_name
Value
redis-server
Description
Monitor for frequent crashes or restarts of the Redis server process.

Detection Methods

  • Version Check: The most straightforward detection method is to check the version of all running redis-server instances. Any version prior to 8.6.3 is vulnerable.
    redis-server --version
    redis-cli INFO server | grep redis_version
    
  • Log Analysis: Analyze Redis logs for crash signatures. A sudden termination of the redis-server process following RESTORE command activity could indicate an exploitation attempt.
  • ACL Auditing: Review Redis Access Control Lists (ACLs) to identify which users have permission to execute the RESTORE command. Scrutinize any user with this permission who is not a trusted administrator.

Remediation Steps

  1. Upgrade Redis: The primary solution is to upgrade all Redis instances to version 8.6.3 or newer. This version contains the necessary patch to correctly validate data passed to the RESTORE command.

  2. Workaround (ACL Restriction): If an immediate upgrade is not feasible, the risk can be mitigated by restricting access to the vulnerable command. Use Redis ACLs to prevent untrusted or application-level users from executing the RESTORE command. For example, you can configure a user to have access to most commands but explicitly deny RESTORE:

    ACL SETUSER myappuser on >mypassword allkeys +@all -RESTORE
    

    This ensures that only highly privileged administrative users can call the vulnerable function, significantly reducing the attack surface.

Timeline of Events

1
May 5, 2026
Redis discloses CVE-2026-25243 and releases patched version 8.6.3.
2
May 6, 2026
This article was published

MITRE ATT&CK Mitigations

The most effective mitigation is to upgrade all Redis instances to version 8.6.3 or later.

Mapped D3FEND Techniques:

Use Redis ACLs to restrict permissions, specifically denying access to the `RESTORE` command for all but the most trusted administrative users.

Mapped D3FEND Techniques:

Follow the principle of least privilege. Application service accounts connecting to Redis should only have access to the commands and keys they absolutely need.

Mapped D3FEND Techniques:

Timeline of Events

1
May 5, 2026

Redis discloses CVE-2026-25243 and releases patched version 8.6.3.

Article Author

Jason Gomes

Jason Gomes

• Cybersecurity Practitioner

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.

Threat Intelligence & AnalysisSecurity Orchestration (SOAR/XSOAR)Incident Response & Digital ForensicsSecurity Operations Center (SOC)SIEM & Security AnalyticsCyber Fusion & Threat SharingSecurity Automation & IntegrationManaged Detection & Response (MDR)

Tags

CVE-2026-25243RedisRCEDoSVulnerabilityBuffer OverflowHeap Overflow

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