CVE-2026-25588

May 5, 2026, 7:38 p.m.

7.7
High

Description

RedisTimeSeries is a time-series module for Redis. In all versions before 1.12.14 of RedisTimeSeries, the module does not properly validate serialized values processed through the Redis RESTORE command. An authenticated attacker with permission to execute RESTORE on a server with the RedisTimeSeries module loaded can supply a crafted serialized payload that triggers invalid memory access and may lead to remote code execution. A workaround is to restrict access to the RESTORE command with ACL rules. This has been patched in version 1.12.14.

Product(s) Impacted

Vendor Product Versions
Redis
  • Redis Timeseries
  • Redis
  • *
  • 1.12.14

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-122
Heap-based Buffer Overflow
A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a redis redis_timeseries / / / / / / / /
a redis redis 1.12.14 / / / / / / /

CVSS Score

7.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:H/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: May 5, 2026, 5:17 p.m.
Last Modified: May 5, 2026, 7:38 p.m.

Status : Undergoing Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.