Heap Buffer Overflow

executorch is vulnerable to Heap Buffer Overflow. The vulnerability is due to improper handling in the loading of ExecuTorch models, which allows an attacker to achieve code execution or cause other undesirable effects...

Integer Overflow

executorch is vulnerable to integer overflow. The vulnerability is due to improper handling in the loading of ExecuTorch models, which allows an attacker to place objects outside their allocated memory area leading to potential code execution or other undesirable effects...

Integer Overflow

executorch is vulnerable to integer overflow. The vulnerability is due to improper handling of model loading, which allows an attacker to trigger overlapping allocations leading to potential code execution or other undesirable effects...

CVE-2025-10538

An authentication bypass vulnerability exists in LG Innotek camera models LND7210 and LNV7210R. The vulnerability allows a malicious actor to gain access to camera information including user account information...

CVE-2025-10538

CVE-2025-10538 affects LG Innotek camera models LND7210 and LNV7210R. The root cause is an authentication bypass that lets an attacker access camera information, including user account details. Public disclosures across NVD, Red Hat, CNNVD, and CISA confirm the vulnerability, with CVSS v4 base sc...

CVE-2025-10538 Authentication Bypass in LG Innotek Camera

An authentication bypass vulnerability exists in LG Innotek camera models LND7210 and LNV7210R. The vulnerability allows a malicious actor to gain access to camera information including user account information...

MINI-862C-M2G8-96VC

Bulletin has no description...

POLAR: Automating Cyber Threat Prioritization through LLM-Powered Assessment

Large Language Models LLMs are intensively used to assist security analysts in counteracting the rapid exploitation of cyber threats, wherein LLMs offer cyber threat intelligence CTI to support vulnerability assessment and incident response. While recent work has shown that LLMs can support a wid...

ROS-20251001-03

A vulnerability in the jQuery library exists due to insufficient cleansing of user-supplied data when passing elements to jQuery DOM methods. Exploitation of the vulnerability could allow an attacker, acting remotely, to perform cross-site scripting attacks...

Optimal Untelegraphable Encryption and Implications for Uncloneable Encryption

We investigate the notion of untelegraphable encryption UTE, a quantum encryption primitive that is a special case of uncloneable encryption UE, where the adversary's capabilities are restricted to producing purely classical information rather than arbitrary quantum states. We present an...

CVE-2025-7647

The llama-index-core package, up to version 0.12.44, contains a vulnerability in the getcachedir function where a predictable, hardcoded directory path /tmp/llamaindex is used on Linux systems without proper security controls. This vulnerability allows attackers on multi-user systems to steal...

Microsoft Expands Sentinel Into Agentic Security Platform With Unified Data Lake

Microsoft on Tuesday unveiled the expansion of its Sentinel Security Incidents and Event Management solution SIEM as a unified agentic platform with the general availability of the Sentinel data lake. In addition, the tech giant said it's also releasing a public preview of Sentinel Graph and...

Stop Alert Chaos: Context Is the Key to Effective Incident Response

The Problem: Legacy SOCs and Endless Alert Noise Every SOC leader knows the feeling: hundreds of alerts pouring in, dashboards lighting up like a slot machine, analysts scrambling to keep pace. The harder they try to scale people or buy new tools, the faster the chaos multiplies. The problem is n...

LG Innotek Camera Multiple Models

RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to gain administrative access to the device. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize network exposure...

Red Teaming Program Repair Agents: When Correct Patches Can Hide Vulnerabilities

LLM-based agents are increasingly deployed for software maintenance tasks such as automated program repair APR. APR agents automatically fetch GitHub issues and use backend LLMs to generate patches that fix the reported bugs. However, existing work primarily focuses on the functional correctness ...

SecureBERT 2.0: Advanced Language Model for Cybersecurity Intelligence

Effective analysis of cybersecurity and threat intelligence data demands language models that can interpret specialized terminology, complex document structures, and the interdependence of natural language and source code. Encoder-only transformer architectures provide efficient and robust...

SEV-SNP Physical Memory Aliasing

Summary Researchers have reported a method for privileged attackers with physical access to a motherboard to potentially compromise confidentiality and integrity of AMD Secure Encrypted Virtualization – Secure Nesting Paging SEV-SNP guests. AMD does not plan to release any mitigations in response...

SoK: Systematic Analysis of Adversarial Threats against Deep Learning Approaches for Autonomous Anomaly Detection Systems in SDN-IoT Networks

Integrating SDN and the IoT enhances network control and flexibility. DL-based AAD systems improve security by enabling real-time threat detection in SDN-IoT networks. However, these systems remain vulnerable to adversarial attacks that manipulate input data or exploit model weaknesses,...

Microsoft Flags AI-Driven Phishing: LLM-Crafted SVG Files Outsmart Email Security

Microsoft is calling attention to a new phishing campaign primarily aimed at U.S.-based organizations that has likely utilized code generated using large language models LLMs to obfuscate payloads and evade security defenses. "Appearing to be aided by a large language model LLM, the activity...

STAC: When Innocent Tools Form Dangerous Chains to Jailbreak LLM Agents

As LLMs advance into autonomous agents with tool-use capabilities, they introduce security challenges that extend beyond traditional content-based LLM safety concerns. This paper introduces Sequential Tool Attack Chaining STAC, a novel multi-turn attack framework that exploits agent tool use. STA...