CVE-2025-29923
Published: 20 March 2025
Summary
CVE-2025-29923 is a low-severity Improper Input Validation (CWE-20) vulnerability. Its CVSS base score is 3.7 (Low).
Operationally, ranked at the 37.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-7158
Vulnerability details
go-redis is the official Redis client library for the Go programming language. Prior to 9.5.5, 9.6.3, and 9.7.3, go-redis potentially responds out of order when `CLIENT SETINFO` times out during connection establishment. This can happen when the client is configured…
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to transmit its identity, there are network connectivity issues, or the client was configured with aggressive timeouts. The problem occurs for multiple use cases. For sticky connections, you receive persistent out-of-order responses for the lifetime of the connection. All commands in the pipeline receive incorrect responses. When used with the default ConnPool once a connection is returned after use with ConnPool#Put the read buffer will be checked and the connection will be marked as bad due to the unread data. This means that at most one out-of-order response before the connection is discarded. This issue is fixed in 9.5.5, 9.6.3, and 9.7.3. You can prevent the vulnerability by setting the flag DisableIndentity to true when constructing the client instance.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.