CVE-2026-33782 (GCVE-0-2026-33782)

Vulnerability from cvelistv5 – Published: 2026-04-09 21:29 – Updated: 2026-04-13 18:06
VLAI
Title
Junos OS: MX Series: In specific DHCPv6 scenarios jdhcpd memory increases continuously with subscriber logouts
Summary
A Missing Release of Memory after Effective Lifetime vulnerability in the DHCP daemon (jdhcpd) of Juniper Networks Junos OS on MX Series, allows an adjacent, unauthenticated attacker to cause a memory leak, that will eventually cause a complete Denial-of-Service (DoS). In a DHCPv6 over PPPoE, or DHCPv6 over VLAN with Active lease query or Bulk lease query scenario, every subscriber logout will leak a small amount of memory. When all available memory has been exhausted, jdhcpd will crash and restart which causes a complete service impact until the process has recovered. The memory usage of jdhcpd can be monitored with: user@host> show system processes extensive | match jdhcpd This issue affects Junos OS: * all versions before 22.4R3-S1, * 23.2 versions before 23.2R2, * 23.4 versions before 23.4R2.
Severity
6.5 (Medium)
CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
8.7 (High)
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/AU:Y/RE:M
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-13 17:39 UTC
CWE
  • CWE-401 - Missing Release of Memory after Effective Lifetime
Assigner
References
URL Tags
https://kb.juniper.net/JSA107820 vendor-advisory
Impacted products
Vendor Product Version CPE status
Juniper Networks Junos OS Affected: 0 , < 22.4R3-S1 (semver)
Affected: 23.2 , < 23.2R2 (semver)
Affected: 23.4 , < 23.4R2 (semver)
guessed Create a notification for this product.
Date Public
2026-04-08 16:00
Show details on NVD website
To clipboard 

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      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "Junos OS: MX Series: In specific DHCPv6 scenarios jdhcpd memory increases continuously with subscriber logouts",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-33782.json",
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}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.