CVE-2025-30649
April 9, 2025, 8:15 p.m.
7.5
High
Description
An Improper Input Validation vulnerability in the syslog stream TCP transport of Juniper Networks Junos OS on MX240, MX480 and MX960 devices with MX-SPC3 Security Services Card allows an unauthenticated, network-based attacker, to send specific spoofed packets to cause a CPU Denial of Service (DoS) to the MX-SPC3 SPUs.
Continued receipt and processing of these specific packets will sustain the DoS condition.
This issue affects Junos OS: * All versions before 22.2R3-S6,
* from 22.4 before 22.4R3-S4,
* from 23.2 before 23.2R2-S3,
* from 23.4 before 23.4R2-S4,
* from 24.2 before 24.2R1-S2, 24.2R2
An indicator of compromise will indicate the SPC3 SPUs utilization has spiked.
For example:
user@device> show services service-sets summary
Service sets CPU
Interface configured Bytes used Session bytes used Policy bytes used utilization
"interface" 1 "bytes" (percent%) "sessions" ("percent"%) "bytes" ("percent"%) 99.97 % OVLD <<<<<< look for high CPU usage
Product(s) Impacted
Product | Versions |
---|---|
junos_os |
|
junos_os |
|
junos_os |
|
junos_os |
|
junos_os |
|
junos_os |
|
mx240 |
|
mx480 |
|
mx960 |
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-20
Improper Input Validation
The product receives input or data, but it does
not validate or incorrectly validates that the input has the
properties that are required to process the data safely and
correctly.
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: NONE
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Timeline
Published: April 9, 2025, 8:15 p.m.
Last Modified: April 9, 2025, 8:15 p.m.
Last Modified: April 9, 2025, 8:15 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
sirt@juniper.net
*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.