RealVuln: Benchmarking Rule-Based, General-Purpose LLM, and Security-Specialized Scanners on Real-World Code

How do security scanners perform on real-world code? We present RealVuln, the first open-source benchmark comparing Rule-Based SAST, General-Purpose LLMs, and Security-Specialized scanners on 26 intentionally vulnerable Python repositories educational and Capture-The-Flag applications with 796...

PT-2026-33040

Name of the Vulnerable Software and Affected Versions bPlugins 3D viewer – Embed 3D Models versions prior to 1.8.6 Description Incorrectly configured access control security levels lead to a missing authorization issue, allowing for the exploitation of security levels. Recommendations Update to a...

Challenges and Future Directions in Agentic Reverse Engineering Systems

Agentic systems built on large language models LLMs are increasingly being used for complex security tasks, including binary reverse engineering RE. Despite recent growth in popularity and capability, these systems continue to face limitations in realistic settings. Cutting-edge systems still fai...

How Hackers Are Thinking About AI

Interesting paper: "What hackers talk about when they talk about AI: Early-stage diffusion of a cybercrime innovation." Abstract: The rapid expansion of artificial intelligence AI is raising concerns about its potential to transform cybercrime. Beyond empowering novice offenders, AI stands to...

LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software

Logical vulnerabilities in software stem from flaws in program logic rather than memory safety, which can lead to critical security failures. Although existing automated program repair techniques primarily focus on repairing memory corruption vulnerabilities, they struggle with logical...

MaxKB 安全漏洞

MaxKB is an open-source question-answering system based on large language models and RAG, developed by 1Panel-dev. Versions of MaxKB prior to 2.7.1 contained a security vulnerability. This vulnerability stemmed from the use of storage-oriented cross-site scripting in the application name or icon...

LLM-Guided Prompt Evolution for Password Guessing

Passwords still remain a dominant authentication method, yet their security is routinely subverted by predictable user choices and large-scale credential leaks. Automated password guessing is a key tool for stress-testing password policies and modeling attacker behavior. This paper applies...

Linux Distros Unpatched Vulnerability : CVE-2026-1462

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - A vulnerability in the TFSMLayer class of the keras package, version 3.13.0, allows attacker- controlled TensorFlow SavedModels to be loaded during...

CVE-2026-1462

A flaw was found in the keras package. This vulnerability allows an attacker to execute unauthorized code on a victim's system. It occurs when a victim loads a specially crafted .keras model, even if the safemode security feature is active. The issue arises because the keras package can...

CVE-2026-33787

An Improper Check for Unusual or Exceptional Conditions vulnerability in the chassis control daemon chassisd of Juniper Networks Junos OS on SRX1500, SRX4100, SRX4200 and SRX4600 allows a local attacker with low privileges to cause a complete Denial of Service DoS. When a specific 'show chassis'...

GHSA-4F3F-G24H-FR8M Keras has an untrusted deserialization vulnerability

A vulnerability in the TFSMLayer class of the keras package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of .keras models, even when safemode=True. This bypasses the security guarantees of safemode and enables arbitrary attacker-controlled...

EUVD-2026-21970

A vulnerability in the TFSMLayer class of the keras package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of .keras models, even when safemode=True. This bypasses the security guarantees of safemode and enables arbitrary attacker-controlled...

DEBIAN-CVE-2026-1462

A vulnerability in the TFSMLayer class of the keras package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of .keras models, even when safemode=True. This bypasses the security guarantees of safemode and enables arbitrary attacker-controlled...

UBUNTU-CVE-2026-1462

A vulnerability in the TFSMLayer class of the keras package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of .keras models, even when safemode=True. This bypasses the security guarantees of safemode and enables arbitrary attacker-controlled...

CVE-2026-1462 Safe Mode Bypass in keras-team/keras

A vulnerability in the TFSMLayer class of the keras package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of .keras models, even when safemode=True. This bypasses the security guarantees of safemode and enables arbitrary attacker-controlled...

CVE-2026-1462

A vulnerability in the TFSMLayer class of the keras package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of .keras models, even when safemode=True. This bypasses the security guarantees of safemode and enables arbitrary attacker-controlled...

CVE-2026-1462

Removed by vendor...

DeepGuard Secure Code Generation

Large Language Models LLMs for code generation can replicate insecure patterns from their training data. To mitigate this, a common strategy for security hardening is to fine-tune models using supervision derived from the final transformer layer. However, this design may suffer from a final-layer...

Towards Automated Pentesting with Large Language Models

Large Language Models LLMs are redefining offensive cybersecurity by allowing the generation of harmful machine code with minimal human intervention. While attackers take advantage of dark LLMs such as XXXGPT and WolfGPT to produce malicious code, ethical hackers can follow similar approaches to...

Keras 代码问题漏洞

Keras is an open-source deep learning framework with multiple backends. Version 3.13.0 of Keras contains a code vulnerability that stems from the TFSLayer class’s unconditional loading of external SavedModels, which may lead to arbitrary code execution...