## Streamlit 1.54.0 Patches Critical Windows SSRF Flaw Exposing NTLM Credentials (CVE-2026-33682)
A critical security update for the popular data app framework Streamlit patches a severe Server-Side Request Forgery (SSRF) vulnerability that could expose Windows users' NTLM credentials. The flaw, tracked as CVE-2026-33682 (GHSA-7p48-42j8-8846), specifically affects Streamlit deployments on Windows systems. An unauthenticated attacker could exploit this vulnerability to force the Streamlit server to make unauthorized HTTP requests to internal systems, potentially capturing and relaying the Windows machine's NTLM authentication hashes. This type of credential exposure is a classic precursor to lateral movement and privilege escalation within a corporate network.

The security advisory, issued by the Streamlit open-source project, mandates an immediate update from version 1.49.1 to version 1.54.0. The update is flagged as a high-priority security dependency change, not a routine feature patch. The vulnerability's impact is confined to Windows environments due to its exploitation of the Windows-specific NTLM authentication protocol. Developers and organizations using Streamlit to build and host internal dashboards, data visualization tools, or machine learning interfaces are at direct risk if their deployment remains unpatched.

This patch places urgent operational pressure on data science and DevOps teams. Any delay in applying the update leaves internal applications open to a straightforward attack that bypasses authentication. The exposure of NTLM credentials could lead to compromised internal servers, data exfiltration, and further network intrusion. The fix is now available via standard package managers, and the Renovate bot has automatically generated pull requests for projects using dependency automation, signaling the severity to maintainers.
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- **Source**: GitHub Issues
- **Sector**: The Lab
- **Tags**: cybersecurity, vulnerability, open-source, data-science, windows
- **Credibility**: unverified
- **Published**: 2026-03-28 01:26:57
- **ID**: 38611
- **URL**: https://whisperx.ai/en/intel/38611