CVE-2025-30659
Juniper Junos 21.4 … 24.2
Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:L/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:Y/R:A/V:X/RE:M/U:XSummary
CVE-2025-30659 is a high-severity Improper Handling of Length Parameter Inconsistency (CWE-130) vulnerability in Juniper Junos. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 33th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-10510
Vulnerability Data
An Improper Handling of Length Parameter Inconsistency vulnerability in the Packet Forwarding Engine (PFE) of Juniper Networks Junos OS on SRX Series allows an unauthenticated, network-based attacker to cause a Denial-of-Service (DoS). When a device configured for Secure Vector Routing…
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(SVR) receives a specifically malformed packet the PFE will crash and restart. This issue affects Junos OS on SRX Series: * All 21.4 versions, * 22.2 versions before 22.2R3-S6, * 22.4 versions before 22.4R3-S6, * 23.2 versions before 23.2R2-S3, * 23.4 versions before 23.4R2-S4, * 24.2 versions before 24.2R2. This issue does not affect versions before 21.4.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V3.5.5V4.2.1V4.2.2
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover length-parameter inconsistencies through targeted parsing tests.
Input validation enforces correct length-to-data consistency checks on parsed messages before processing.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly enforce length validation and input sanitization during coding and review.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development can detect length-inconsistency vulnerabilities before deployment.
Secure development lifecycle mandates input validation and length checks that directly address inconsistent length fields.
Application security requirements include explicit rules for handling message lengths and data structures.
Secure architecture principles require robust parsing and bounds checking to prevent length-related flaws.
Secure coding standards directly prohibit improper length handling and enforce defensive parsing practices.