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Langflow

6 articles · Page 1 of 1
Black & White Path
Black & White Path
Jul 24, 2026 · Information Security

How ENCFORGE Ransomware Exploits Langflow’s CVE‑2025‑3248 to Hijack AI Models

Sysdig’s threat team uncovered that the JADEPUFFER group leveraged the unauthenticated RCE in Langflow (CVE‑2025‑3248, CVSS 9.8) to deploy a Go‑based ransomware, ENCFORGE, which encrypts up to 180 AI/ML file formats, performs rapid container‑escape attacks via the Docker socket, and demands ransom through a reused email address.

AES-256-CTRAI ransomwareCVE-2025-3248
0 likes · 12 min read
How ENCFORGE Ransomware Exploits Langflow’s CVE‑2025‑3248 to Hijack AI Models
Geek Labs
Geek Labs
May 16, 2026 · Artificial Intelligence

Low‑Code AI App Builders Compared: Langflow, Flowise, Dify, SuperAGI & Bee Agent

This article reviews five popular open‑source low‑code AI application platforms—Langflow, Flowise, Dify, SuperAGI and Bee Agent—detailing their core features, supported tech stacks, typical users, and providing a side‑by‑side comparison to help developers choose the right tool for their workflow.

Bee AgentDifyFlowise
0 likes · 10 min read
Low‑Code AI App Builders Compared: Langflow, Flowise, Dify, SuperAGI & Bee Agent
Machine Heart
Machine Heart
Apr 28, 2026 · Artificial Intelligence

LangFlow Demonstrates Continuous Diffusion Matching Discrete Models via Better Training

LangFlow revisits continuous diffusion for language modeling, showing that earlier performance gaps were due to suboptimal training and evaluation, and through embedding‑space diffusion, a log‑NSR noise schedule, and a Gumbel‑based information schedule it matches or exceeds discrete diffusion and autoregressive baselines on standard and zero‑shot benchmarks.

Gumbel distributionLangflowcontinuous diffusion
0 likes · 16 min read
LangFlow Demonstrates Continuous Diffusion Matching Discrete Models via Better Training
Fun with Large Models
Fun with Large Models
Oct 9, 2025 · Industry Insights

Low-Code AI Agent Frameworks Compared: Choosing the Right Tool in 2025

This article analyzes four mainstream low-code AI Agent development platforms—Coze, Dify, n8n, and LangFlow—detailing their features, deployment options, commercial models, strengths, and weaknesses, and provides a step‑by‑step learning path to help developers select the most suitable framework for 2025.

CozeDifyFramework Comparison
0 likes · 17 min read
Low-Code AI Agent Frameworks Compared: Choosing the Right Tool in 2025