CVE-2026-10804: Streamlit Weak Hashing Vulnerability in Palette Handler (CVSS 3.6)

Technical summary

The vulnerability resides in lib/streamlit/runtime/caching/hashing.py within Streamlit's palette handler, where a weak hash algorithm is used for cryptographic operations. The affected function fails to meet modern cryptographic standards, specifically using algorithms or practices that do not provide adequate collision resistance or unpredictability (CWE-327: Use of a Broken or Risky Cryptographic Algorithm; CWE-328: Use of Insufficiently Random Values). Exploitation requires local filesystem or process access, authenticated user context, and a high degree of complexity to craft a payload that successfully manipulates the hash output. The CVSS v3.1 score of 3.6 (LOW) reflects the restricted attack surface and limited impact scope.

Business impact

The primary risk is integrity compromise within Streamlit applications that rely on hash-based caching or palette validation. Organizations using Streamlit for data science workflows or internal dashboarding may experience cache poisoning or minor denial-of-service conditions if an authenticated user on the same system exploits this weakness. The attack does not grant remote access, privilege escalation, or confidentiality breaches, limiting business impact to localized application reliability. Development teams should assess whether their Streamlit deployments process sensitive configuration data through the affected palette handler.

Affected systems

Snowflake Streamlit versions 1.53.0 and earlier are affected. Organizations running Streamlit in multi-user environments (shared servers, Jupyter Hub clusters, or containerized deployments) face the highest risk, as local access by multiple authenticated users increases the surface for exploitation. Streamlit instances isolated to single-user development machines carry minimal practical risk.

Exploitability

Exploitation is difficult and requires authenticated local access—a significant barrier in most cloud-hosted or SaaS deployments. The attacker must understand the internal structure of the palette handler and possess the ability to influence hashing inputs or observe hash outputs. Public disclosure of the vulnerability has occurred, but the high complexity and local-only attack vector have likely prevented widespread weaponization. No active exploitation has been reported in the wild as of the last modification date.

Remediation

Upgrade Streamlit to a version newer than 1.53.0 as soon as such a release becomes available. A pull request addressing the weak hashing issue is currently under review by the Streamlit development team. In the interim, restrict local system access to trusted administrators and limit concurrent user sessions on shared Streamlit instances. If feasible, isolate Streamlit deployments to single-user environments or air-gapped networks until a patch is released.

Patch guidance

Monitor Snowflake's Streamlit release notes and GitHub repository for the availability of a patched version. The open pull request to fix this issue should be merged and released in an upcoming minor or patch release. Verify against the vendor advisory before deploying any update to confirm that the hashing vulnerability is explicitly addressed. Consider subscribing to Streamlit's security announcements to receive timely notification when the fix is released.

Detection guidance

Review Streamlit application logs for unusual caching behavior or integrity validation failures, particularly in the palette handler component. Monitor filesystem and process-level access to lib/streamlit/runtime/caching/hashing.py on systems running Streamlit. In multi-user environments, audit user authentication logs to identify which accounts accessed the Streamlit instance during suspected compromise windows. Standard intrusion detection signatures are unlikely to be effective given the local-access-only requirement; focus on process-level and application-level monitoring.

Why prioritize this

Despite the low CVSS score, organizations with multi-user Streamlit deployments should address this vulnerability in a regular patching cycle. The primary drivers for inclusion in a patch window are the authenticated local access requirement (which eliminates remote exploitation risk) and the clear availability of a fix in review. Prioritize systems where Streamlit processes or caches sensitive data; deprioritize isolated development machines. This is not an emergency patch scenario.

Risk score, explained

The CVSS v3.1 score of 3.6 reflects a constrained attack surface (local access only, authenticated user required), high attack complexity, and limited impact (integrity compromise without confidentiality or availability damage). The 'L' in the severity rating accurately captures the low real-world threat posed by this weakness in typical deployment scenarios. Organizations with strict application isolation or role-based access controls face even lower risk.

Frequently asked questions