CVE-2025-30649
Published: 09 April 2025
Summary
CVE-2025-30649 is a high-severity Improper Input Validation (CWE-20) vulnerability in Juniper Junos. Its CVSS base score is 8.7 (High).
Operationally, ranked in the top 46.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-10511
Vulnerability details
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…
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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
- 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.