Cyber Resilience

CVE-2026-46478

Flowiseai Flowise ≤ 3.1.2

Published
08 June 2026
Modified
17 June 2026
Patch / advisory
View advisory
CVSS Score v4 7.7
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0034 27th percentile
Risk Priority 37 floored blend · peak EPSS

Summary

CVE-2026-46478 is a high-severity Improperly Controlled Modification of Dynamically-Determined Object Attributes (CWE-915) vulnerability in Flowiseai Flowise. Its CVSS base score is 7.7 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 27th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as LLM Application Platforms; in the Data-Related Vulnerabilities risk domain.

The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and AC-6 (Least Privilege) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

A08:2025 Software or Data Integrity Failures

EU & UK References

Vulnerability Data

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, DatasetRow create and update mass-assignment allows cross-workspace row takeover. This issue has been patched in version 3.1.2.

CWE(s)
CWE-915

AI Security AnalysisAI

AI Category
LLM Application Platforms
Risk Domain
Data-Related Vulnerabilities
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: flowise, large language model

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
attack.mitre.org →
T1068 Exploitation for Privilege Escalation Privilege Escalation
Adversaries may exploit software vulnerabilities in an attempt to elevate privileges.
attack.mitre.org →
T1098 Account Manipulation Persistence
Adversaries may manipulate accounts to maintain and/or elevate access to victim systems.
attack.mitre.org →
T1098.001 Additional Cloud Credentials Persistence
Adversaries may add adversary-controlled credentials to a cloud account to maintain persistent access to victim accounts and instances within the environment.
attack.mitre.org →
T1098.003 Additional Cloud Roles Persistence
An adversary may add additional roles or permissions to an adversary-controlled cloud account to maintain persistent access to a tenant.
attack.mitre.org →
T1098.004 SSH Authorized Keys Persistence
Adversaries may modify the SSH <code>authorized_keys</code> file to maintain persistence on a victim host.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-30822Same product: Flowiseai Flowise
CVE-2026-46477Same product: Flowiseai Flowise
CVE-2026-46475Same product: Flowiseai Flowise
CVE-2026-46480Same product: Flowiseai Flowise
CVE-2026-46479Same product: Flowiseai Flowise
CVE-2026-46476Same product: Flowiseai Flowise
CVE-2026-41267Same product: Flowiseai Flowise
CVE-2026-42862Same product: Flowiseai Flowise
CVE-2026-42861Same product: Flowiseai Flowise
CVE-2026-46441Same product: Flowiseai Flowise

Affected Assets

flowiseai
flowise
≤ 3.1.2

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

AC-3 Access Enforcement good match

Enforces authorizations so that only permitted attributes may be modified on an object.

AC-6 Least Privilege good match

Limits the set of modifiable attributes a subject is authorized to touch.

SI-10 Information Input Validation good match

Validates incoming attribute names and values so that only explicitly allowed fields are accepted for update.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require allow-listing of mutable object attributes and input validation to block mass-assignment flaws.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

A.8.28 Secure coding mostly match
prevents

Secure coding standards explicitly forbid unsafe dynamic attribute assignment and require property allow-lists.

A.8.29 Security testing in development and acceptance mostly match
finds

Security testing can detect mass-assignment flaws but does not itself prevent them at runtime.

A.8.25 Secure development life cycle partial match
prevents

Secure development lifecycle requires input validation and object-property whitelisting that directly mitigates mass-assignment risks.

A.8.26 Application security requirements partial match
prevents

Application security requirements include explicit rules for allowable object attributes and safe deserialization.

A.8.27 Secure system architecture and engineering principles partial match
prevents

Secure architecture principles mandate strict control over dynamic object modification and attribute binding.

A.8.3 Information access restriction partial match
prevents

Information access restriction limits who can modify objects but does not address which attributes may be changed.

References