CVE-2023-44192
Published: 13 October 2023
Summary
CVE-2023-44192 is a high-severity Improper Input Validation (CWE-20) vulnerability in Juniper Junos. Its CVSS base score is 7.5 (High).
Operationally, ranked at the 34.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-48551
Vulnerability details
An Improper Input Validation vulnerability in the Packet Forwarding Engine of Juniper Networks Junos OS allows an unauthenticated, network-based attacker to cause memory leak, leading to Denial of Service (DoS). On all Junos OS QFX5000 Series platforms, when pseudo-VTEP (Virtual…
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Tunnel End Point) is configured under EVPN-VXLAN scenario, and specific DHCP packets are transmitted, DMA memory leak is observed. Continuous receipt of these specific DHCP packets will cause memory leak to reach 99% and then cause the protocols to stop working and traffic is impacted, leading to Denial of Service (DoS) condition. A manual reboot of the system recovers from the memory leak. To confirm the memory leak, monitor for "sheaf:possible leak" and "vtep not found" messages in the logs. This issue affects: Juniper Networks Junos OS QFX5000 Series: * All versions prior to 20.4R3-S6; * 21.1 versions prior to 21.1R3-S5; * 21.2 versions prior to 21.2R3-S5; * 21.3 versions prior to 21.3R3-S4; * 21.4 versions prior to 21.4R3-S3; * 22.1 versions prior to 22.1R3-S2; * 22.2 versions prior to 22.2R2-S2, 22.2R3; * 22.3 versions prior to 22.3R2-S1, 22.3R3; * 22.4 versions prior to 22.4R1-S2, 22.4R2.
- 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.