F5 BIG-IP TMM Crash via DTLS 1.2 SSL Sign Hash ANY
CVE-2025-61951 Published on October 15, 2025

BIG-IP DTLS 1.2 Vulnerability
Undisclosed traffic can cause the Traffic Management Microkernel (TMM) to terminate.  This issue may occur when a Datagram Transport Layer Security (DTLS) 1.2 virtual server is enabled with a Server SSL profile that is configured with a certificate, key, and the SSL Sign Hash set to ANY, and the backend server is enabled with DTLS 1.2 and client authentication.  Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-61951 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity, and a high impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
NONE
Availability Impact:
HIGH

Weakness Type

Out-of-bounds Read

The software reads data past the end, or before the beginning, of the intended buffer. Typically, this can allow attackers to read sensitive information from other memory locations or cause a crash. A crash can occur when the code reads a variable amount of data and assumes that a sentinel exists to stop the read operation, such as a NUL in a string. The expected sentinel might not be located in the out-of-bounds memory, causing excessive data to be read, leading to a segmentation fault or a buffer overflow. The software may modify an index or perform pointer arithmetic that references a memory location that is outside of the boundaries of the buffer. A subsequent read operation then produces undefined or unexpected results.


Products Associated with CVE-2025-61951

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Affected Versions

F5 BIG-IP:

Exploit Probability

EPSS
0.06%
Percentile
19.15%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.