CVE-2026-22730-Scanner

CVE-2026-22730 Scanner & Exploit – Spring AI MariaDB Vector Store SQL Injection A professional security assessment tool for CVE-2026-22730 – a critical SQL injection vulnerability discovered in Spring AI's MariaDB vector store. This tool allows authorised penetration testers and security...

GHSA-7587-9684-52R6 mem0ai Databricks vector store vulnerable to SQL injection

mem0 0.1.117 before 1.0.8 contains an sql injection vulnerability in mem0/vectorstores/databricks.py that allows attackers to inject SQL by influencing stored memory content. Attackers can supply crafted memory text, metadata, or message names that reach unescaped insert and update string...

mem0ai Databricks vector store vulnerable to SQL injection

mem0 0.1.117 before 1.0.8 contains an sql injection vulnerability in mem0/vectorstores/databricks.py that allows attackers to inject SQL by influencing stored memory content. Attackers can supply crafted memory text, metadata, or message names that reach unescaped insert and update string...

CVE-2026-115324 mem0 0.1.117 before 1.0.8 SQL Injection via Databricks Vector Store

mem0 0.1.117 before 1.0.8 contains an sql injection vulnerability in mem0/vectorstores/databricks.py that allows attackers to inject SQL by influencing stored memory content. Attackers can supply crafted memory text, metadata, or message names that reach unescaped insert and update string...

CVE-2026-115324 mem0 0.1.117 before 1.0.8 SQL Injection via Databricks Vector Store

mem0 0.1.117 before 1.0.8 contains an sql injection vulnerability in mem0/vectorstores/databricks.py that allows attackers to inject SQL by influencing stored memory content. Attackers can supply crafted memory text, metadata, or message names that reach unescaped insert and update string...

CVE-2026-115324

The mem0 library, versions 0.1.117 before 1.0.8 , is vulnerable to an SQL injection in the mem0/vector_stores/databricks.py component. The root cause is the use of unescaped string interpolation within insert() and update() functions. Attackers can exploit this by supplying crafted memory text, m...

sk-cve-2026-26030-lab

CVE-2026-26030 — Semantic Kernel filter eval RCE lab A self-contained lab reproducing CVE-2026-26030 : prompt-injectable remote code execution via the in-memory vector store search filter in Microsoft Semantic Kernel Python, Ethical lab only. Isolated in dedicated virtualenvs; payloads are harmle...

ai-24sea (>=0.1.0, <=1.0.0), cogflow (>=1.12.0, <=3.0.0b14) +4 more potentially affected by CVE-2026-64849 via mlflow (2.22.0)

mlflow PYPI version 2.22.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - ai-24sea =0.1.0, =1.12.0, =1.4.5, =0.1.6, =1.0.2, =1.1.0rc4 Source cves: CVE-2026-64849 Source advisory: OSV:PYSEC-2026-3687...

hip-data-ml-utils (>=1.3.3, <=1.4.4), hip-online-store (>=0.1.0, <=0.2.13) +1 more potentially affected by CVE-2026-64849 via mlflow (2.15.0)

mlflow PYPI version 2.15.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - hip-data-ml-utils =1.3.3, =0.1.0, =0.1.1, =0.1.5 Source cves: CVE-2026-64849 Source advisory: OSV:PYSEC-2026-3687...

CVE-2026-70472

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise openai-assistants-vector-store endpoints accept a client-controlled credential parameter and load credentials by id without checking whether that credential belongs to the caller...

CVE-2026-70473

Flowise is a drag-and-drop user interface for building customized large language model LLM flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB an...

GHSA-FR6G-7CQ8-FG82 Flowise: Information Disclosure in GET /api/v1/upsert-history returns the entire server-wide upsert history

Summary The GET /api/v1/upsert-history endpoint returns the entire server-wide upsert history response size 100MB instead of being scoped to the requesting user/tenant/workspace. The response includes sensitive configuration data e.g., Vector Store settings such as Qdrant Server URL and collectio...

CVE-2026-70473 Flowise: Information Disclosure in GET /api/v1/upsert-history returns the entire server-wide upsert history

Flowise is a drag-and-drop user interface for building customized large language model LLM flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB an...

CVE-2026-70473

Flowise (a UI for building LLM workflows) prior to version 3.1.3 exposed a server-wide upsert-history via GET /api/v1/upsert-history. The endpoint returned data scoped to none of the requester’s identity (user/tenant/workspace) and could exceed 100 MB, including sensitive configuration data such ...

EUVD-2026-52853

Flowise is a drag-and-drop user interface for building customized large language model LLM flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB an...

CVE-2026-70473

Flowise is a drag-and-drop user interface for building customized large language model LLM flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB an...

CVE-2026-70473 Flowise: Information Disclosure in GET /api/v1/upsert-history returns the entire server-wide upsert history

Flowise is a drag-and-drop user interface for building customized large language model LLM flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB an...

CVE-2026-70473 Flowise: Information Disclosure in GET /api/v1/upsert-history returns the entire server-wide upsert history

Flowise is a drag-and-drop user interface for building customized large language model LLM flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB an...

Flowise: Cross-workspace credential IDOR in openai-assistants-vector-store

Summary These endpoints accept a client-controlled credential parameter. The server loads credentials by id and uses them directly, without checking whether that credential belongs to the caller’s workspace. If an attacker knows another workspace’s credentialId, they can use that workspace’s Open...

GHSA-CHM3-VQCF-52RX Flowise: Cross-workspace credential IDOR in openai-assistants-vector-store

Summary These endpoints accept a client-controlled credential parameter. The server loads credentials by id and uses them directly, without checking whether that credential belongs to the caller’s workspace. If an attacker knows another workspace’s credentialId, they can use that workspace’s Open...