CVE intelligence and bounded remediation

CVE-2023-28968 — Juniper Appid Service Sigpack security vulnerability

Medium CVSS 5.3

An Improperly Controlled Sequential Memory Allocation vulnerability in the Juniper Networks Deep Packet Inspection-Decoder (JDPI-Decoder) Application Signature component of Junos OS's AppID service on SRX Series devices will stop the JDPI-Decoder from identifying dynamic application traffic, allowing an unauthenticated network-based attacker to send traffic to the target device using the JDPI-Decoder, designed to inspect dynamic application traffic and take action upon this traffic, to instead begin to not take action and to pass the traffic through. An example session can be seen by running the following command and evaluating the output. user@device# run show security flow session source-prefix <address/mask> extensive Session ID: <session ID>, Status: Normal, State: Active Policy name: <name of policy> Dynamic application: junos:UNKNOWN, <<<<< LOOK HERE Please note, the JDPI-Decoder and the AppID SigPack are both affected and both must be upgraded along with the operating system to address the matter. By default, none of this is auto-enabled for automatic updates. This issue affects: Juniper Networks any version of the JDPI-Decoder Engine prior to version 5.7.0-47 with the JDPI…

Severity
Medium
CVSS
5.3 (3.1)
Published
2023-04-17
CISA KEV
Not currently listed
Ecosystem
software/application
Weaknesses
CWE-1325, CWE-770

Affected products

  • juniper / appid_service_sigpack
  • juniper / jdpi-decoder_engine
  • juniper / junos / 19.1

Showing 3 representative product identities from 201 source matches. Confirm exact affected versions with the linked vendor and NVD evidence.

Matched remediation archetype

Resource exhaustion and denial of service

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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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