CVE-2025-52949
Juniper Junos ≤ 21.4
Raw vector
CVSS:4.0/AV:A/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:C/RE:M/U:AmberSummary
CVE-2025-52949 is a high-severity Improper Handling of Length Parameter Inconsistency (CWE-130) vulnerability in Juniper Junos. Its CVSS base score is 7.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 18th 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-2025-21155
Vulnerability Data
An Improper Handling of Length Parameter Inconsistency vulnerability in the routing protocol daemon (rpd) of Juniper Networks Junos OS and Junos OS Evolved allows a logically adjacent BGP peer sending a specifically malformed BGP packet to cause rpd to crash…
more
and restart, resulting in a Denial of Service (DoS). Continued receipt and processing of this packet will create a sustained Denial of Service (DoS) condition. Only systems configured for Ethernet Virtual Private Networking (EVPN) signaling are vulnerable to this issue. This issue affects iBGP and eBGP, and both IPv4 and IPv6 are affected by this vulnerability.This issue affects: Junos OS: * all versions before 21.4R3-S11, * from 22.2 before 22.2R3-S7, * from 22.4 before 22.4R3-S7, * from 23.2 before 23.2R2-S4, * from 23.4 before 23.4R2-S5, * from 24.2 before 24.2R2-S1, * from 24.4 before 24.4R1-S3, 24.4R2; Junos OS Evolved: * all versions before 22.2R3-S7-EVO, * from 22.4-EVO before 22.4R3-S7-EVO, * from 23.2-EVO before 23.2R2-S4-EVO, * from 23.4-EVO before 23.4R2-S5-EVO, * from 24.2-EVO before 24.2R2-S1-EVO, * from 24.4-EVO before 24.4R1-S3-EVO, 24.4R2-EVO.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
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.