CVE-2026-110733 Apache SIS: SQL injection via unvalidated ORDER BY sort expression in the SQL feature store

Vulnerability in the SQL storage module of Apache SIS. When sorting a stream of features, the clause is copied after ORDER BY without quoting the identifier character. A crafter sort clause could inject SQL in the query. This issue affects the sql-storage module of Apache SIS from version 1.0...

CVE-2026-110733

The sql-storage module of Apache SIS (versions 1.0 through 1.6 inclusive) is vulnerable to SQL injection . The root cause is that when sorting a stream of features, the software copies the clause after ORDER BY without quoting the identifier character, allowing a crafted sort clause to inject SQL...

Feast Feature Store - Detect

Detected Feast, an open-source feature store for managing and serving ML features. !/usr/bin/env python3 -- coding: utf-8 -- """Detected Feast, an open-source feature store for managing and serving ML features.""" from kittysploit import from lib.protocols.http.httpclient import Httpclient class...

cnext (>=0.3.5, <=0.3.8), code-first-pipelines (>=0.8.0, <=1.0.0) +51 more potentially affected by CVE-2026-3198 via mlflow (1.30.1)

mlflow PYPI version 1.30.1 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - cnext =0.3.5, =0.8.0, =0.6.1rc1, =0.2.4, =0.24.24, =0.0.1a0, =1.0.1, =0.1.1, =0.3.0, =0.8.3, =0.48.0, =0.2.0, =0.2.0, =0.3.0 and more Source cves:...

cnext (>=0.3.5, <=0.3.8), code-first-pipelines (>=0.8.0, <=1.0.0) +51 more potentially affected by CVE-2025-14279 via mlflow (1.30.1)

mlflow PYPI version 1.30.1 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - cnext =0.3.5, =0.8.0, =0.6.1rc1, =0.2.4, =0.24.24, =0.0.1a0, =1.0.1, =0.1.1, =0.3.0, =0.8.3, =0.48.0, =0.2.0, =0.2.0, =0.3.0 and more Source cves:...

elemeno-ai-sdk (>=0.0.5, <=0.6.11), elemeno-mlops-cli (>=0.0.1, <=0.0.4) +22 more potentially affected by CVE-2025-11157 via feast (>=0.9.3, <=0.49.0)

feast PYPI version =0.9.3, =0.0.5, =0.0.1, =0.1.0, =0.3.0, =0.1.0rc3, =0.0.2, =1.0.0, =0.1.0, =0.1.33.dev3, =0.1.0, =0.6.19 and more Source cves: CVE-2025-11157 Source advisory: GHSA-34WM-4HW7-QFJV...

EUVD-2025-206133

A high-severity remote code execution vulnerability exists in feast-dev/feast version 0.53.0, specifically in the Kubernetes materializer job located at feast/sdk/python/feast/infra/computeengines/kubernetes/main.py. The vulnerability arises from the use of yaml.load..., Loader=yaml.Loader to...

CVE-2025-11157

CVE-2025-11157 is a high-severity remote code execution flaw in feast-dev/feast v0.53.0, due to unsafe YAML deserialization in the Kubernetes materializer (feast/sdk/python/feast/infra/compute_engines/kubernetes/main.py) where yaml.load(..., Loader=yaml.Loader) processes /var/feast/feature_store....

elemeno-ai-sdk (>=0.0.5, <=0.6.11), elemeno-mlops-cli (>=0.0.1, <=0.0.4) +12 more potentially affected by CVE-2024-11602 via feast (>=0.9.3, <=0.39.1)

feast PYPI version =0.9.3, =0.0.5, =0.0.1, =0.1.0, =0.3.0, =0.1.0rc3, =0.0.2, =1.0.0, =0.1.0, =0.0.1, =0.0.23 Source cves: CVE-2024-11602 Source advisory: OSV:GHSA-WXPC-2674-RXVW...

Overcoming Challenges in Delivering Machine Learning Models from Research to Production

So, you’ve finished your research. You developed a machine learning ML model, tested, and validated it and you’re now ready to start development, and then push the model to production. The hard work -- the research -- is finally behind you. Or is it? Understanding the Challenges in Machine Learni...