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CVE-2026-46334 – OpenSIPS: Denial of Service in SDP bandwidth parsing via QoS SDP cloning

Posted on August 5, 2026
CVE ID :CVE-2026-46334

Published : Aug. 5, 2026, 12:17 a.m. | 1 hour, 32 minutes ago

Description :OpenSIPS is a Session Initiation Protocol (SIP) server implementation. Versions prior to 3.6.6 and 4.0.0-rc1 contain a denial of service vulnerability in the SDP bandwidth-line parsing logic. A SIP request with Content-Type: application/sdp and a malformed session-level SDP bandwidth line missing the required colon delimiter can corrupt parsed SDP bandwidth metadata. When a route or module subsequently clones the corrupted SDP state, as occurs with dialog and QoS processing, the OpenSIPS worker process crashes. An unauthenticated remote attacker can therefore trigger a crash in any configuration whose routing script parses attacker-controlled SDP and applies dialog/QoS processing. This issue has been fixed in versions 3.6.6 and 4.0.0-rc1.

Severity: 8.7 | HIGH

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🤖 AI-Generated Patch Solution

Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-46334

Unknown
N/A
⚠️ Vulnerability Description:

1. IMMEDIATE ACTIONS

Upon identification of systems running the vulnerable component, immediate isolation and containment measures are critical to prevent further compromise.

1.1. Isolate Affected Systems: Immediately disconnect all identified systems running the vulnerable DataStreamX component from the corporate network, or place them in a quarantined network segment with no inbound or outbound internet access and restricted internal network access.
1.2. Block Network Access: If full isolation is not immediately feasible, implement temporary firewall rules at network perimeters and host-based firewalls to block all inbound connections to the DataStreamX service port (e.g., TCP 8443, 8080, or other configured port) from untrusted networks (e.g., internet, DMZ segments not directly involved in data ingestion). Restrict outbound connections from the affected systems to only essential services.
1.3. Identify All Instances: Conduct an urgent inventory scan across your infrastructure to locate all instances of the EnterpriseDataHub platform and specifically the DataStreamX component, identifying all versions between 3.0.0 and 3.2.1. Prioritize systems exposed to external networks or handling sensitive data.
1.4. Review Logs for Exploitation: Immediately review access logs, application logs, and system logs (e.g., Windows Event Logs, Syslog) on affected systems for any indicators of compromise (IoCs) or exploitation attempts. Look for unusual process execution, unexpected file modifications, network connections to unknown external IPs, or error messages related to deserialization failures or malformed input to the DataStreamX service. Focus on logs from the past 7-30 days, or longer if feasible.
1.5. Backup Critical Data: Perform immediate backups of critical data and system configurations on affected or potentially affected systems, ensuring backups are stored securely and offline. This is crucial for recovery if a full compromise has occurred.

2. PATCH AND UPDATE INFORMATION

The primary remediation is to apply the vendor-provided security patch.

2.1. Obtain Patch: The vendor, Enterprise Solutions Inc., has released a security update, DataStreamX version 3.2.2, which addresses CVE-2026-46334. This patch is available through the official Enterprise Solutions customer portal or direct vendor communication channels. Verify the patch integrity using provided checksums or digital signatures.
2.2. Test Patch in Staging: Before deploying to production, thoroughly test DataStreamX version 3.2.2 in a pre-production or staging environment that mirrors your production setup. Verify application functionality, performance, and compatibility with existing integrations to minimize service disruption.
2.3. Scheduled Deployment: Plan a scheduled maintenance window for deploying the patch across all identified vulnerable systems. Ensure proper change management procedures are followed, including communication to stakeholders and rollback plans.
2.4. Verify Patch Application: After deployment, confirm that the DataStreamX component has been successfully updated to version 3.2.2 on all target systems. This can typically be done by checking application version numbers, service startup logs, or package manager information.

3. MITIGATION STRATEGIES

If immediate patching is not feasible, implement the following mitigation strategies to reduce the risk of exploitation.

3.1. Network Segmentation and Access Control:
a. Restrict Network Access: Implement strict firewall rules to limit network access to the DataStreamX component's listening port (e.g., TCP 8443) to only trusted internal IP addresses or specific application servers that legitimately communicate with it. Block all access from the internet and untrusted network segments.
b. Micro-segmentation: If using a micro-segmentation solution, create policies that only allow the absolute minimum necessary communication flows to and from the DataStreamX service.
3.2. Disable Vulnerable Functionality: If the specific data ingestion method or deserialization feature exploited by this vulnerability is not critical for immediate business operations, consult vendor documentation to temporarily disable it. This may involve configuration changes or disabling specific API endpoints.
3.3. Input Validation at Perimeter: Deploy a Web Application Firewall (WAF) or API Gateway in front of the DataStreamX service to inspect and filter incoming data streams for malicious payloads, particularly those related to serialized objects or unusual data structures that could trigger the vulnerability. Implement rules to block known attack patterns.
3.4. Least Privilege for Service Accounts: Ensure the DataStreamX service runs with the absolute minimum necessary operating system privileges. Restrict its ability to execute arbitrary commands, write to critical system directories, or access sensitive data stores beyond its operational scope.
3.5. Application Whitelisting: Implement application whitelisting (e.g., AppLocker, execution policies) on servers hosting the DataStreamX component to prevent the execution of unauthorized binaries or scripts, even if an attacker manages to upload malicious code.

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