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CVE-2026-44545

5.3 · MEDIUM
Published Jun 3, 2026 djangoproject CWE-770

Overview

CVE-2026-44545 is a medium-severity vulnerability affecting djangoproject daphne. It was published on June 3, 2026 and has a CVSS 3.1 base score of 5.3 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

daphne before 4.2.2 did not pass maxFramePayloadSize or maxMessagePayloadSize to Autobahn's WebSocketServerFactory. Because Autobahn defaults both values to 0 (unlimited), an unauthenticated remote attacker could send arbitrarily large WebSocket messages or frames, causing excessive memory consumption and a denial of service.

Remediation

Check the references section for vendor advisories and patches from djangoproject. Update daphne to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status
djangoproject daphne >= 0, < 4.2.2 Affected

Frequently Asked Questions

What is CVE-2026-44545?

CVE-2026-44545 is a medium-severity vulnerability affecting djangoproject daphne. It was published on June 3, 2026 and has a CVSS 3.1 base score of 5.3 (MEDIUM).

How severe is CVE-2026-44545?

This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2026-44545?

Check the references section for vendor advisories and patches from djangoproject. Update daphne to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2026-44545?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-44545 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.