CVE intelligence and bounded remediation

CVE-2021-0230 — Juniper Junos security vulnerability

High CVSS 7.5

On Juniper Networks SRX Series devices with link aggregation (lag) configured, executing any operation that fetches Aggregated Ethernet (AE) interface statistics, including but not limited to SNMP GET requests, causes a slow kernel memory leak. If all the available memory is consumed, the traffic will be impacted and a reboot might be required. The following log can be seen if this issue happens. /kernel: rt_pfe_veto: Memory over consumed. Op 1 err 12, rtsm_id 0:-1, msg type 72 /kernel: rt_pfe_veto: free kmem_map memory = (20770816) curproc = kmd An administrator can use the following CLI command to monitor the status of memory consumption (ifstat bucket): user@device > show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Limit Size(s) ifstat 2588977 162708K - 19633958 <<<< user@device > show system virtual-memory no-forwarding | match ifstat Type InUse MemUse HighUse Limit Requests Limit Limit Size(s) ifstat 3021629 189749K - 22914415 <<<< This issue affects Juniper Networks Junos OS on SRX Series: 17.1 versions 17.1R3 and above prior to 17.3R3-S11; 17.4 versions prior to 17.4R3-S5; 18.2 versions prior to 18.2R3-S7, 18.2R3-S8; 18.…

Severity
High
CVSS
7.5 (3.1)
Published
2021-04-22
CISA KEV
Not currently listed
Ecosystem
operating-system
Weaknesses
CWE-400, CWE-401

Affected products

  • juniper / junos / 17.1
  • juniper / junos / 17.2

Showing 2 representative product identities from 182 source matches. Confirm exact affected versions with the linked vendor and NVD evidence.

Matched remediation archetype

Resource exhaustion and denial of service

This catalog composition supplies bounded fallback guidance. Explicitly reviewed curated workflows load with the complete record below.

Check exposure

  • Identify attacker-influenced work factors including input size, nesting, compression, fan-out, regex cost, allocation, recursion, retries, and connection lifetime.
  • Map per-request and shared CPU, memory, disk, descriptor, thread, queue, and downstream-service limits.
  • Determine whether authentication, tenancy, quotas, and rate controls apply before expensive processing begins.

Remediate safely

  • Bound input size, nesting, expansion, work, concurrency, queue depth, retries, and execution time before resource-intensive processing.
  • Release resources on every success, error, cancellation, and timeout path and use backpressure instead of unbounded buffering.
  • Update affected components and add small deterministic tests that assert resource ceilings rather than exhausting a host.

Authoritative sources

Complete CVE record and remediation plan

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