CVE intelligence and bounded remediation

CVE-2023-28096 — Opensips Opensips security vulnerability

High CVSS 7.5

OpenSIPS, a Session Initiation Protocol (SIP) server implementation, has a memory leak starting in the 2.3 branch and priot to versions 3.1.8 and 3.2.5. The memory leak was detected in the function `parse_mi_request` while performing coverage-guided fuzzing. This issue can be reproduced by sending multiple requests of the form `{"jsonrpc": "2.0","method": "log_le`. This malformed message was tested against an instance of OpenSIPS via FIFO transport layer and was found to increase the memory consumption over time. To abuse this memory leak, attackers need to reach the management interface (MI) which typically should only be exposed on trusted interfaces. In cases where the MI is exposed to the internet without authentication, abuse of this issue will lead to memory exhaustion which may affect the underlying system’s availability. No authentication is typically required to reproduce this issue. On the other hand, memory leaks may occur in other areas of OpenSIPS where the cJSON library is used for parsing JSON objects. The issue has been fixed in versions 3.1.8 and 3.2.5.

Severity
High
CVSS
7.5 (3.1)
Published
2023-03-15
CISA KEV
Not currently listed
Ecosystem
software/application
Weaknesses
CWE-401

Affected products

  • opensips / opensips

Showing 1 representative product identities from 2 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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